€¦ · xls file · web viewreservoir performance notes summary uncertainty in geometrical...
TRANSCRIPT
NotesNov-09NOTES:The papers listed here have been obtained by search SPE and IPTC papers post 2005 on the SPE's OnePetroThe papers relating to reservoir engineering have been catergorised for inclusion on the reservoirengineering.org.uk websiteThe affiiations searched were;Total No PapersReservoir Engineering RelatedBP551175Shell575279Chevron482238ConocoPhillips19168Marathon5537Total255129Schlumberger1130563Imperial College, London9553Heriot Watt University, Edinburgh235175(Anywhere in Article)Total35691717Total number of papers published post 2005 =10,00035% of papers published categorised
Reservoir PerformanceOrganisationSourcePaper
No.ChapterSectionSubjectTitleAuthorAbstractCHEVRONSPE100209Reservoir
PerformanceBreakthrough ProfilingTemperature EffectPrediction of
Temperature Changes Caused by Water or Gas Entry Into a Horizontal
WellK. Yoshioka, Chevron ETC; D. Zhu, and A.D. Hill, Texas A&M
University; P. Dawkrajai, Thailand Defense Energy Department; and
L. W. Lake, University of Texas at AustinSummary With the recent
development of temperature measurement systems such as fiber-optic
distributed temperature sensors continuous temperature profiles in
a horizontal well can be obtained with high precision. Small
temperature changes with a resolution on the order of 0.1F can be
detected by modern temperature-measuring instruments in intelligent
completions which may aid the diagnosis of downhole flow
conditions. Since in a producing horizontal well fluid inflowing
temperature is not affected by elevational geothermal temperature
changes the primary temperature differences for each phase (oil
water and gas) are caused by frictional effects. While gas
production usually causes a temperature decrease water entry
results in either warming or cooling of the wellbore. Warmer water
entry is a result of water flow from a warmer aquifer below the
producing zone (water coning). In contrast produced water can be
cooler than produced oil because of differences in the thermal
properties of these fluids. If both oil and water are produced from
the same elevation oil is heated more by friction while flowing in
a porous medium than water is resulting in the produced water
having a lower inflow temperature than the oil. Water entry by
coning is relatively easy to detect from the temperature profile
because of its warmer inflow temperature but water breakthrough
from the same elevation as the oil may not be obvious. In this
paper we illustrate the range of inflow conditions for which
water-or-gas entry locations can be identified from the temperature
profile of a wellfrom measurable temperature changes. Using a
numerical wellbore-temperature-prediction model (Yoshioka et al.
2005a) we calculated temperature profiles for a wide range of
water-inflow conditions.In these calculations we assumed that one
section of the well produced water or gas while the rest of the
open section of the well produced oil. From sensitivity studies we
showed the predictions of the relative water-and-gas production
rates that create detectable temperature anomalies in the
temperature profile along the well. By using the model to match an
actual temperature log from a horizontal well we demonstrate how
this model can be used to identify water-inflow locations.
Introduction Temperature logs have been used to locate water
entries. Some field examples (Tolan et al. 2001; Foucault et al.
2004) reported the successful identification of water entry and
prevention of its further production. However the identification is
often made by intuition. That is gas entries reduce the wellbore
temperature and water entries increase the temperature. The
inferences are also qualitative. There is no means to determine the
rate of water entry for example. To optimize well performance we
need a better method to identify water or gas entries. We will
analyze anomalous temperature changes along a flowing horizontal
well using a temperature model for horizontal wells. The main
difference of the model from the vertical thermal wellbore models
(Hill 1990; Ramey 1962; Sagar et al. 1991) is that the geothermal
temperature is constant along a horizontal well. Temperature
deviations from the geothermal temperature are caused by changes in
flow conditions in the reservoir and wellbore. If we assume that
all the fluids in the wellbore are produced from the same elevation
(i.e. the temperatures are the same at the boundary) the reservoir
energy balance can be solved as a 1D problem. To infer the
temperature behavior with water coning the problem needs to be
solved in 3D (Dawkrajai et al. 2006). The detailed discussions of
the prediction model are in the following section. Model
Description We have used two different models in this study. For
water produced from the same elevation as the oil we consider a
segmented reservoir and multiphase flow in the wellbore. We also
consider a steady-state reservoir with constant fluxes from both
sides and no flow at the other boundaries (Fig. 1). For water
coning a 3D reservoir model is used (Fig. 2). The top and sides of
the rectangular reservoir are sealed and the pressure below the
reservoir (the aquifer pressure) is constant. In both cases we
assumed fully penetrating horizontal wellbores. For nonisothermal
flow we can derive the mass-and-energy balance equations for the
reservoir and wellbore. The solution of the coupled reservoir and
wellbore equations provides the temperature and pressure profiles
in the domain of interest.TOTALIPTC11369Reservoir
PerformanceCarbonate ReservoirsIntegrated StudyAl Khalij: The Quest
For Oil In A Highly Complex Carbonate FieldDavid Foulon, SPE, Total
E&P Qatar; Florence Viban, Total E&P France, Rashed Noman,
SPE, Qatar Petroleum, Bernard Faissat, SPE, Total E&P Qatar,
Ismail A. Al-Emadi, SPE, Qatar PetroleumAbstract Al Khalij could be
viewed as the archetypal complex carbonate field. Laterally sealed
by a stratigraphic closure the reservoir monocline consists in a
layercake of alternating good and poor quality rock whose fabric
has been intensively reworked during multiple phases of diagenesis.
Additionally the oil column is relatively thin and average water
saturation above free water level exceeds 85%. Al Khalij
development challenge can thus be formulated as: How to efficiently
recover a large oil accumulation trapped with much larger amounts
of water in the capillary transition zone of a highly heterogeneous
reservoir of uncertain boundaries overlying an active aquifer?" To
meet a challenge of such magnitude a phased development was
undertaken and completed recently nine years after kick-off. Even
so the expected recovery factor remained low and the reservoir
model unmatched. This paper describes the extensive work program
implemented to better understand early-time reservoir behavior and
find ways to increase recovery. Starting with a "back to the rocks"
approach a wide range of studies and additional measurements were
undertaken culminating in full field reservoir simulations.
Innovative modeling and interpretation techniques were implemented
to extract maximum information from formation pressure and pressure
build-up measurements. Where key uncertainties remained specific
solutions were sought in terms of enhanced data acquisition and
monitoring programs from petrophysical measurements on full size
cores to injection PLTs in oil producers. Integrated static and
dynamic syntheses reviewed all resulting information to better
assess critical reservoir heterogeneity levels. A specifically
designed dual-porosity simulation model was built to properly
represent the smallscale heterogeneity impact and successfully
history matched. In less than two years a full field redevelopment
plan was defined that is expected to double the recovery factor.
The innovative acquisition interpretation and modeling techniques
developed in the process could fruitfully be applied to other
complex fields. Introduction Al Khalij field operated by Total is
located 110 km offshore Qatar within the Block 6 with a water depth
of approximately 60 m. The field was discovered in 1991 after the
interpretation of 2D seismic acquired in 1989 and developed in a
phased way through horizontal wells since 1997. The field being
marginally eruptive production wells are activated by a wide range
of centrifugal pumps. The increasing knowledge gathered on the
field has lead to reassess its potential since exploration time
leading to a stabilized oil production plateau since 2005. Al
Khalij reservoir presents some striking features (Ref. 1 2). It is
quite wide (some 250+ km2) and thin (in most areas under 50 m)
monocline (Fig. 1). Oil-bearing reservoirs are Cenomanian
limestones of the Mishrif formation capped by Turonian Laffan
shales. These carbonates were deposited in a shallow shelf
environment and range from lagoonal muddy deposits to Rudist shoal
facies. The uppermost part of the reservoir series is partially
eroded as a consequence of a regional uplift of the platform
northwards. Moreover the monoclinal trap reveals a stratigraphic
component as a lateral seal is provided by muddy deposits developed
westwards. The resulting rock structure is a layer cake of matrix
low-permeability (circa 10 mD) and average porosity (circa 20%)
carbonates alternated with drain high permeability (in the Darcy
range) and high porosity (circa 30%) ones with pressure
communication throughout the different units (Fig. 2). It is filled
with fluids mainly in the capillary transition zone with water
above WOC considered mobile (Fig. 3). Finally in terms of
production it exhibits good well productivities but a production
behavior marked by both a fast water breakthrough and steady
pressure depletion in the wells drainage
area."SHELLIPTC11722Reservoir PerformanceCharacterisation and
ModellingCarbonate reservoirImproved Characterisation and Modelling
of Carbonate Reservoirs for Predicting Waterflood PerformanceS.K.
Masalmeh and X.D. Jing, Shell Technology OmanAbstract Carbonate
reservoirs are highly heterogeneous and often show oil-wet or
mixed-wet characteristics. Both geological heterogeneity and
wettability have strong impact on capillary pressure (Pc) and
relative permeability (Kr) behaviour which is controlled by the
pore size distribution interfacial tension and interactions between
rock and fluids as well as the saturation history. Capillary
pressure data are essential input in both static and dynamic
modelling of heterogeneous carbonate reservoirs. Drainage Pc is
generally used for initialising reservoir static models while
imbibition Pc is used to model secondary and tertiary recovery
processes. The objective of this paper is to present an improved
reservoir characterisation and modelling procedure for predicting
waterflood performance of a Cretaceous carbonate reservoir in the
Middle East. We focus on the characterisation of multi-phase fluid
flow properties in particular the capillary pressure
characteristics in both drainage and imbibition and their
assignments in reservoir simulation models. We show that for
modelling initial saturation distribution in the reservoir
assigning saturation functions based on permeability or porosity
classes alone is not adequate. Moreover the petrophysical
correlations often used for clastic reservoirs (e.g. Leverett
J-function) may not be applicable to carbonate reservoirs without
careful pore-type examination and core analysis/calibration. A
novel procedure is described to derive imbibition capillary
pressure curves from the primary drainage Pc curves taking into
account of wettability and fluid trapping. The results lead to an
improved understanding of capillary pressure characteristics in
carbonate reservoirs in particular the contact angle distributions
and hysteresis behaviour in both drainage and imbibition. This
paper also presents a mathematical model for implementing both
drainage and imbibition capillary pressure functions in dynamic
reservoir simulation. This model takes into account the complex
pore size distribution and wettability characteristics in
carbonates as observed in experimental special core analysis (SCAL)
measurements. Furthermore how to assign imbibition Pc for the
different porosity and permeability classes will be examined and
its impact on modelling waterflooding performance and remaining oil
saturation distributions assessed. Introduction The complexity of
carbonate reservoirs and the importance of a consistent approach in
defining rock types have been a subject of several recent papers
(Marzouk et al. 2000; Ramakrishnam et. al. 2000; Leal et. al. 2001;
Porrai and Campos 2001; Giot et.al 2000; Silva et.al. 2002; Hamon
2002; Masalmeh and Jing 2004). Current practices in general are
either based on petrophysical properties (i.e. porosity
permeability and drainage Pc curves) or geological description
(facies and depositional environment) or a combination of both. The
underlying assumption is that static rock characterisation and the
resultant rock-typing scheme remain valid when assigning saturation
functions (Pc & Kr) in dynamic reservoir modelling. In this
paper we will incorporate conventional core analysis (porosity
permeability) thin section and SEM analysis mercury-air capillary
pressure (Pc)/ NMR with special core analysis data in particular
the imbibition Pc and residual oil saturation. Several experimental
techniques are available to measure capillary pressure (Pc) curves
both in drainage and imbibition cycles. Mercury injection is
frequently used for measuring drainage Pc curves as the technique
is relatively cheap fast and requires relatively straightforward
data interpretation. The measured data however need to be converted
to in situ reservoir conditions by taking into account the
differences in interfacial tension and contact angle between the
rock/fluid systems used in the laboratory and that found in
reservoir. The porous-plate equilibrium method is a reliable and
accurate technique for measuring Pc in drainage and imbibition
under representative reservoir conditions of fluids pressure and
temperature. The main drawback of this technique is the lengthy
time required to reach capillary equilibrium which renders the
technique impractical for certain field applications especially for
tight and heterogeneous carbonates. The multi-speed centrifuge
method can be used for both drainage and imbibition Pc measurements
using representative reservoir fluids. Compared with the
porous-plate equilibrium technique the centrifuge method is
relatively fast which is a clear advantage for studying tight
carbonates. However the design of the centrifuge experiment and the
interpretation of the data are not straightforward and numerical
simulation of centrifuge experiments is generally required to
derive capillary pressure data (Maas and Schulte
1997).SHELLSPE113865Reservoir PerformanceComplex ReservoirsJG
FieldReservoir Compartmentalisation in the JG Field Western Desert
EgyptEilard H. Hoogerduijn Strating, SPE, and Willem Postuma, Shell
International Exploration and ProductionAbstract The JG field is
located in the North East Abu Gharadig (NEAG) Basin of the Western
Desert in Egypt. With first production in 2002 it is the first
commercial discovery in the Middle Jurassic Lower Safa Reservoir
Units in this basin. Oil and gas are produced from the tidally
influenced estuary channel deposits in the Lower Safa A Unit and
oil from the massive braided fluvial channels in the Lower Safa C
Unit. At first the field was believed to consist of one single
hydrocarbon column. However based on production behavior and
additional well information it became apparent that the field was
highly compartmentalized in the vertical and horizontal domain.
Since then multiple data sources have been leveraged in order to
obtain better compartment definitions: 3D seismic logs PVT data
geochemical fingerprinting repeat pressure surveys and production
data. The boundaries between the reservoir compartments are defined
by a combination of faults and stratigraphic heterogeneities.
Although clear in places some compartment boundaries can only be
defined from non-geological data sources. Understanding these
heterogeneities and compartment boundaries is essential for
optimizing the field development. Like so many fields the JG field
proved to be more complex than initially expected. It is argued
that extensive data gathering in particular in the early field
development is essential in helping to timely identify and properly
define such complexities. Introduction The Abu Gharadig basin in
the Western Desert of Egypt (Fig 1) was generally considered to be
a mature basin with over 95% of the oil and gas fields in Upper
Cretaceous Abu Roash Bahariya and Kharita sandstone reservoirs.
Shell Egypt N.V. (52% (operator) Apache 48%) however continued to
explore for deeper targets in its North East Abu Gharadig
Exploration License in particular in the Jurassic Safa sandstones
overlying the Paleozoic basement (Fig. 2). This perseverance paid
of with the 2001 NEAG JG-1 well which at a depth of 3 250 mbdf
found three oil-bearing channel sands in the tidally influenced
estuary deposits of the Lower Safa A. A 6m net (20ft) oil-bearing
channel sand tested 4 100 bbl/d of 36API oil with a 1 300 scf/bbl
GOR (Ref 1). The JG discovery was brought on production in 2002 and
as such constitutes the first commercial discovery in the Lower
Safa Reservoir Units in the Abu Gharadig basin. Including the
discovery well a total of 9 wells and one sidetrack have been
drilled to date (Fig 3). The information of these wells in
combination with production and well and reservoir surveillance
data significantly improved the understanding of the field. At
first the field was believed to consist of one single hydrocarbon
column that in places also extended into the massive braided
fluvial channels in the Lower Safa C Unit. However with time it
became apparent that the field was highly compartmentalized in the
vertical and horizontal domain. Since then multiple data sources
have been leveraged in order to obtain better compartment
definitions: logs RFTs PVT samples geochemical fingerprinting of
oil samples repeat pressure surveys and production data. The
boundaries between the reservoir compartments are defined by a
combination of faults and stratigraphic heterogeneities. Although
clear in places some compartment boundaries can only be defined
from non-geological data sources. Understanding these
heterogeneities and compartment boundaries is essential for
optimizing the field development vis--vis different depletion rates
drive mechanism and production optimization. This paper builds upon
earlier published work1 but will focus in more detail on the
reservoir compartmentalization issues. In particular it will
discuss the data sources used interpretation and integration of the
data definition of the compartment boundaries and the impact on
field development.Heriot Watt UniversitySPE113394Reservoir
PerformanceDepressuriziationFluid MobilityEffect of
Depressurization on Trapped Saturations and Fluid Flow
FunctionsA.N. Nyre, CIPR and IFT/University of Bergen; S.R.
McDougall, Heriot-Watt University; and A. Skauge, CIPR/University
of BergenAbstract Production below bubblepoint will generate free
gas first as discontinuous gas up to the critical gas saturation
and thereafter free or mobile gas. The level of critical gas
saturation is affected by pressure decline rate interfacial
tensions pore structure etc. The gas relative permeability is
strongly reduced when trapped gas is present. Recent experimental
studies have proved that gas relative permeability can be several
orders of magnitude lower for an internal gas drive process (gas
liberation during depressurization) than for an external gas drive
process (gas injection). The critical gas saturation may indirectly
influence gas breakthrough gas cut and also oil production. Network
modeling has been used to investigate physical relations to factors
influencing the formation of critical gas saturation and the
corresponding flow functions. The rock matrix composition
determines together with irreducible water saturation diffusion
paths and therefore the degree of supersaturation in the medium.
This mechanism combined with depletion rates describes how trapped
and mobile gas saturation evolves and determines factors
influencing critical gas saturation. We observe that bubble
generation is strongly dependent on depletion rate which in turn
affects the critical gas saturation. The gas relative permeability
is found to be two orders of magnitude lower than for gas injection
even at relatively high gas saturations. We discuss the importance
of including the physics of depressurization and advice on correct
implementation of depressurization in reservoir simulations. The
results show that lower coordination number leads to higher
critical gas saturation. The variation of critical gas saturation
with pore structure diminishes at higher depletion rate. The
significance to field application of depletion is that near the
production well the pore structure has little influence on the
critical gas saturation while at low depletion rate in the
reservoir (far from the well) the pore structure may be an
important factor for the critical gas saturation. Introduction
Studies of production below bubblepoint have been conducted in a
variety of ways ranging from core depletion experiments with
internal drive gas drive or combined internal and external gas
drive. As the mechanisms of gas bubble formation and expansion of
the gas phase are difficult to investigate in detail in a porous
medium the effect of pressure depletion below bubblepoint has also
been studied by network modeling. Depletion below bubblepoint
involves many coupled mechanisms and therefore there is still a lot
to gain by improving the process understanding. Some key elements
are the complexity of gas liberation and kinetic processes such as
bubble nucleation diffusion supersaturation and in addition to
fluid properties and the effects of capillary/gravitational/viscous
force balance. Critical gas saturation (Sgc) is one of the
parameters that have been extensively investigated. There are
several ways of defining critical gas saturation in solution drive
experiments. In an experimental setup where monitoring pore-scale
processes is difficult the critical gas saturation has been defined
as the saturation at which gas is first detected (Firoozabadi et
al. 1992). Another definition is; the saturation at which the
producing gas-oil ratio exceeds the solution gas-oil ratio (Sahni
et al. 2001). For network modeling purposes the best definition is
achieved by relating critical gas saturation to percolation theory.
The gas saturation at which a gas cluster spans the network is the
saturation where a continuous gas flow can be first observed and of
course this coincides with a non-zero relative permeability for gas
consequently this is the critical gas saturation (as suggested by
Yortsos and Parlar 1989).Heriot Watt UniversitySPE107164Reservoir
PerformanceFault ReactivationCoupled Reservoir/Geomechanical
ModelIdentification of Activated (Therefore Potentially Conductive)
Faults and Fractures Through Statistical Correlations in Production
and Injection Rates and Coupled FlowGeomechanical ModellingKes
Heffer, Reservoir Dynamics Ltd.; Xing Zhang and Nick
Koutsabeloulis, VIPS Ltd.; and Ian Main and Lun Li, U. of
EdinburghAbstract Long-range stress-related and fault-related
characteristics of correlations in fluctuations in flow-rates are
explained conceptually in the context of the lithospheres
near-critical mechanical state and a strong feedback between
deformation and local permeability. A more sophisticated
statistical model devised to extract a parsimonious set of
flow-rate correlations has shown similar characteristics. Coupled
geomechanical-flow modeling was able to reproduce those
characteristics for a generic pattern waterflood perturbed with
random noise but only when loaded to a near-critical state hence
providing strong support for the conceptual model. Coupled modeling
of a cross-section representative of the Gullfaks field also
demonstrated long-range influences. The matrix of empirical
correlations between all well-pairs for a field can be decomposed
in various ways. The principal components of the matrix when
interpolated with appropriate spatial correlation functions have
indicated the importance of particular faults in the rate
fluctuation history; it is inferred that those faults are
mechanically active during the development and thus are potentially
conductive features. Introduction It is usually assumed that
geomechanical modelling coupled with reservoir simulation is only
required in a minor subset of reservoirs that are termed
stress-sensitive. This subset is sometimes recognized a posteriori;
i.e. during the course of field development often through a general
severe decline in permeability levels with depleting pressure; or
perhaps a priori in the case of weak reservoir rocks where
compaction drive is considered important to recovery (e.g.
unconsolidated sands or weak chalks). Rarely outside such bounds is
geomechanical modelling deemed necessary for reliable unbiased
reservoir performance predictions. However some past analyses of
preferred directions of flooding1 2 and of the correlations in rate
fluctuations3 have suggested that geomechanics may be playing a
commercially significant role in many secondary and tertiary floods
if not other development schemes. Key to the interpretation of this
field data are the following concepts which may be novel to many
reservoir engineers or geoscientists: Much of the lithosphere is in
a near-critical statee.g.4 5. This means that there are percolating
paths of faults fractures and incipient fractures that are near
mechanical failure in the prevailing stress states. This concept is
supported by direct measurements of stress state6 7 observations of
(micro-)seismicity induced by oilfield development8 shear-wave
splitting observed in most types of rock in the crust9 and the
observations of so-called 1/f scaling of properties in well-logs10.
These observations are themselves underpinned by theoretical
explanations of the evolution of the earths lithosphere into a
near-critical state. Such models include self-organized criticality
(SOC)4 11-15; or self-organized sub-criticality16-19; or in the
sense of a spinodal critical point20. Whilst there is still ongoing
discussion as to which of these models best fits lithospheric
deformation common characteristics of these theories also observed
in the real behaviour of rock are: Strong susceptibility to small
perturbation (metastability) Responses often at a distance from
perturbing load (long-range correlation) Percolating paths of
incipient failure (localization) oriented in association with the
modern-day stress state. CHEVRONSPE114909Reservoir PerformanceFault
ReactivationSteamfloodingSteam Flooding Field Fault Reactivation
Maximum Reservoir Pressure Prediction Using Deterministic and
Probabilistic ApproachesX. Yi, Chevron CorporationAbstract Fault
reactivation induced by excessive reservoir steam pressure in heavy
oil fields is suspected as one of the possible perpetrators that
caused steam eruption to the surface. This can lead to significant
financial losses related to environment cleanup and curtailed oil
production. A traditional approach to fault reactivation prediction
provides a deterministic critical reservoir pressure without proper
regard to the uncertainties in the model input parameters and the
predicted results. A probability distribution of the fault
reactivation maximum reservoir pressure provides a better means to
calculate a risk weighted Expected Net Present Value for management
to make better decisions on steam flooding and to anticipate
potential consequences. In this study a geomechanical model was
established for the Batang Field Central Sumatra Indonesia. Using
the geomechanical model first a fault seal analysis was performed
and indicated that all faults were sealed in sands under initial
stress and pore pressure conditions. Second fault reactivation
reservoir pressures for major faults in the field were predicted
assuming a frictional sliding frictional coefficient of 0.5 which
was derived using frictional faulting theory by a geomechanics
services provider for the nearby Duri Field. Two scenarios were run
in this case. One assumed a stress path coefficient of zero for
horizontal stresses (decoupled); the other assumed a stress path
coefficient of 0.4 (coupled). It was found that the coupling of
stress and reservoir pressure provides a less conservative value of
maximum reservoir pressure. Lastly Monte Carlo simulations were run
to consider the uncertainties of frictional sliding coefficient and
especially the stress path coefficient among the input parameters.
It was found that the results from Monte Carlo simulations and
deterministic approach were largely consistent but the resulting
probability distribution from the Monte Carlo simulation approach
provides significantly more information. Introduction Batang is a
heavy oil field located in Central Sumatra Indonesia just north of
the giant Duri Field (Figure 1). It is heavily faulted and
compartmentalized (Figure 2). Currently the field has more than 60
wells producing from reservoirs at depths varying from about 100 ft
to nearly 700 ft TVD. Huff-and-puff is being used on a single well
basis to improve heavy oil production. The Batang asset team was
considering whether to add pattern steam flooding to this field.
Since steam eruption had occurred in the nearby Duri field causing
significant environmental problems and curtailed well production
the Batang team was interested in knowing how to properly operate
the steam injection wells to reduce the chance of steam eruption to
surface. According to the Duri field experiences many of the steam
eruptions were related to faults in addition to other factors such
as poor cementing jobs [1]. In this study it was also assumed that
elevated reservoir pressure due to steam injection may cause a
fault cutting through a reservoir to be reactivated causing steam
eruption to surface either directly along the fault plane or
indirectly by first entering shallower low pressure reservoirs and
then flowing through the gap between the cement sheath and
formation. Using this assumption a maximum reservoir pressure
without reactivating a fault was predicted and provided to the
Batang team for steam flooding design. To achieve that first a
geomechanical model needed to be established. Using the
geomechanical model and the orientation of a specific fault a
normal stress and a shear stress on the fault plane were resolved
[2]. Together with a Coulomb failure envelope a critical reservoir
pressure was calculated.CHEVRONSPE92973Reservoir
PerformanceHeterogeneityStatistical Moment EquationsConditional
Statistical Moment Equations for Dynamic Data Integration in
Heterogeneous ReservoirsLiyong Li, SPE, Chevron, and Hamdi A.
Tchelepi, SPE, Stanford U.Summary An inversion method for the
integration of dynamic (pressure) data directly into statistical
moment equations (SMEs) is presented. The method is demonstrated
for incompressible flow in heterogeneous reservoirs. In addition to
information about the mean variance and correlation structure of
the permeability few permeability measurements are assumed
available. Moreover few measurements of the dependent variable are
available. The first two statistical moments of the dependent
variable (pressure) are conditioned on all available information
directly. An iterative inversion scheme is used to integrate the
pressure data into the conditional statistical moment equations
(CSMEs). That is the available information is used to condition or
improve the estimates of the first two moments of permeability
pressure and velocity directly. This is different from Monte Carlo
(MC) -based geostatistical inversion techniques where conditioning
on dynamic data is performed for one realization of the
permeability field at a time. In the MC approach estimates of the
prediction uncertainty are obtained from statistical
post-processing of a large number of inversions one per
realization. Several examples of flow in heterogeneous domains in a
quarter-five-spot setting are used to demonstrate the CSME-based
method. We found that as the number of pressure measurements
increases the conditional mean pressure becomes more spatially
variable while the conditional pressure variance gets smaller.
Iteration of the CSME inversion loop is necessary only when the
number of pressure measurements is large. Use of the CSME simulator
to assess the value of information in terms of its impact on
prediction uncertainty is also presented. Introduction The
properties of natural geologic formations (e.g. permeability)
rarely display uniformity or smoothness. Instead they usually show
significant variability and complex patterns of correlation. The
detailed spatial distributions of reservoir properties such as
permeability are needed to make performance predictions using
numerical reservoir simulation. Unfortunately only limited data are
available for the construction of these detailed
reservoir-description models. Consequently our incomplete knowledge
(uncertainty) about the property distributions in these highly
complex natural geologic systems means that significant uncertainty
accompanies predictions of reservoir flow performance. To deal with
the problem of characterizing reservoir properties that exhibit
such variability and complexity of spatial correlation patterns
when only limited data are available a probabilistic framework is
commonly used. In this framework the reservoir properties (e.g.
permeability) are assumed to be a random space function. As a
result flow-related properties such as pressure velocity and
saturations are random functions. We assume that the available
information about the permeability field includes a few
measurements in addition to the spatial correlation structure which
we take here as the two-point covariance. This incomplete knowledge
(uncertainty) about the detailed spatial distribution of
permeability is the only source of uncertainty in our problem.
Uncertainty about the detailed distribution of the permeability
field in the reservoir leads to uncertainty in the computed
predictions of the flow field (e.g.
pressure).CHEVRONSPE122357Reservoir PerformanceMechanismAcid
BreakthroughModels and Methods for Understanding of Early Acid
Breakthrough Observed in Acid Core-floods of Vuggy
CarbonatesO.Izgec, D.Zhu, A.D.Hill, SPE, Texas A&M
UniversityAbstract Previously we have studied the acidization of
vuggy carbonates with acid core flood experiments in 4-inch
diameter by 20-inch long cores high resolution computerized
tomography imaging image processing and geostatistical
characterization. The obvious major finding from these tests is
that acid propagates wormholes through vuggy carbonates much more
rapidly than occurs in more homogeneous rocks. Acid-created
wormholes were observed to break through to the end of the cores an
order of magnitude more rapidly than occurs in more homogeneous
cores highlighting the necessity of understanding the flow and
transport in vuggy carbonates. The fact that acid channeled through
the vugular cores following the path of the vug system was
underlined with computerized tomography scans of the cores before
and after acid injection. This observation proposes that local
pressure drops created by vugs are more dominant in determining the
wormhole flow path than the chemical reactions occurring at the
pore level. Following this idea we are presenting a modeling study
in order to understand flow in porous media in the presence of
vugs. Use of coupled Darcy and Stokes flow principles known as the
Darcy-Brinkman formulation underpins the proposed approach. The
power of the Darcy-Brinkman formulation lies in its natural ability
to represent both porous media and tube flow in a single equation
with variable coefficients. The methods presented here shows that
acid injected into vuggy limestones follows a preferential pathway
guided by the vug network. The PVbt (pore volumes to break through)
for vuggy limestone correlates inversely with the fraction of total
porosity comprised by vugs the higher the vuggy fraction of
porosity the lower the pore volumes to breakthrough. Local pressure
drops created by vugs are more dominant in determining the wormhole
flow path than the chemical reactions occurring at the pore level.
The results from the developed model demonstrate that the total
injection volume to breakthrough is affected by the spatial
distribution the amount and the connectivity of vuggy pore space.
Introduction Matrix acidizing is a technique that has been used
extensively since the 1930s to improve production from oil and gas
wells and to improve injection into injection wells. Matrix
stimulation is accomplished by injecting a fluid (e.g. acid or
solvent) to dissolve and/or disperse materials that impair well
production in sandstones or to create new unimpaired flow channels
between the wellbore and a carbonate formation. The principle of a
matrix acidizing treatment in carbonate reservoir is to bypass near
well-bore damaged region by creating highly conductive channels
known as wormholes. When the reaction rate is rapid the larger
pores tend to grow much more rapidly than do the smaller ones. This
gives rise to a phenomenon known as wormholing in which a few large
holes form and conduct all or nearly all of the acid (Schechter
1992). The success of the stimulation depends on the ability of the
engineer to control the unstable process creating the wormholes.
Studies show that more than 35% of matrix treatment failed or did
not reach expectations (Sengul and Remisio 2002). In some cases
excessive water production was reported because of an inappropriate
design. Another consequence of inappropriate design is pore
collapse because of the over treatment. Optimized design gains much
more attention when horizontal wells come to picture. Since the
volume of acid to stimulate these wells is huge a well designed
acid treatment plan has great importance.SHELLSPE113429Reservoir
PerformanceMechanismDispersionInvestigation of Field Scale
DispersionAbraham K. John, SPE, Larry W. Lake, SPE, Steven L.
Bryant, SPE, and James W. Jennings, SPE, The University of Texas at
AustinAbstract Dispersivity data compiled over many lengths show
that values at typical interwell distances are about two to four
factors of ten larger than those measured on cores. Such large
dispersivities may represent significant mixing in the reservoir or
they may be a result of convective spreading driven by permeability
heterogeneity. The work in this paper uses the idea of flow
reversal to resolve the ambiguity between convective spreading and
mixing. We simulate flow reversal tests for tracer transport in
several permeability realizations using particle tracking
simulations (free from numerical dispersion) on three-dimensional
high resolution models at the field scale. We show that convective
spreading even without local mixing can result in dispersion-like
mixing zone growth with large dispersivities because of
permeability heterogeneity. But for such cases the dispersivity
estimated on flow reversal is zero. With local mixing (diffusion or
core scale dispersion) the dispersivity value on flow reversal is
non-zero and also much larger than typical core values. Layering in
permeability while increasing the convective contribution to
transport also enhances mixing by providing larger area in the
transverse direction for diffusion to act. This suggests that
in-situ mixing is an important phenomenon affecting the transport
of solutes in permeable media even at large scales. Dispersivity
values increase with scale mainly because of the increase in the
correlation in the permeability field but they could also
apparently appear to do so because the Fickian model fails to
capture the mixing zone growth correctly at early times. The
results and approach shown here could be used to differentiate
between displacement and sweep efficiency in field scale
displacements to ensure accurate representation of dispersive
mixing in reservoir simulation and to guide upscaling workflows.
The flow reversal concept motivates a new line of inquiry for lab
and field scale experiments. 1. Introduction Dispersion is the
in-situ mixing of chemical components as they are transported
through porous media. It results from the combined effects of
molecular diffusion and fluid velocity gradients (Taylor 1953). The
recovery efficiency of processes like miscible gas or chemical
flooding depends partly on the mixing which an injected slug
undergoes. For example Solano et al. (2001) performing a range of
one dimensional and two dimensional simulations of enriched gas
floods show that the recovery difference between the cases studied
could be up to 8% of the original oil in place depending on the
degree of dispersion. Similar observations have been made by others
(Haajizadeh et al. 1998; Jessen et al. 2002; Moulds et al. 2005).
Dispersion is also an important effect in water injection where
mineral scales are formed by mixing of injected and reservoir
brines (Sorbie and MacKay 2000; Delshad and Pope 2003) in the
underground storage of gases where mixing of the injected and
in-situ gas changes the quality of the stored gas (Verlaan 1998)
and in proposed methods of enhanced natural gas recovery by
injecting anthropogenic CO2 (Oldenburg et al.
2001).SCHLUMBERGERSPE105041Reservoir PerformanceMechanismEffect of
WettabilityA Quantitative Model for the Effect of Wettability on
the Conductivity of Porous RocksBernard Montaron, SPE,
SchlumbergerAbstract Reservoir rock wettability is an important
parameter to consider for oil recovery optimization. The great
majority of sandstone formations is known to be strongly water-wet.
In contrast most carbonate reservoir rocks are believed to be
mixed-wet or oil-wet to some degree with a non-uniform distribution
of the wettability in the reservoir. Despite the importance of this
parameter there is currently no proven quantitative logging
technique that can provide a continuous wettability log. A detailed
analysis of a new model for the conductivity of reservoir rock
called the connectivity equation is provided in the paper. Similar
to Archie's law this simple model has only two parameters: An
exponent called the conductivity exponent and the water
connectivity parameter Cw. Under some conditions Cw can be equal to
zero and the equation becomes identical to Archie's law in its
simplest form (n = m = ). However in the general case the model is
fundamentally different from Archie's law because in the
connectivity equation resistivity is only a function of the water
volume fraction. Cw is shown to account for water connectivity
effects in the pore network. These effects are encoded in the
expression of Cw with three terms linked respectively to 1-the
super-connectivity of micro pores in micritic grains for carbonate
rocks or the super-connectivity created by shale in shaly
sandstones 2- wettability effects in meso/macro pores and 3-the low
connectivity of vuggy porosity. This model is compared with
published data and is shown to correctly account for most
situations including 'non-Archie' rocks such as low resistivity pay
in carbonates strongly oil-wet rocks and the dual water model for
shaly sands. A good correlation between Cw - obtained from a
combination of wireline logs - and wettability measured on cores is
found on data from a Middle East carbonate
reservoir.SCHLUMBERGERSPE116063Reservoir PerformanceMechanismFines
MigrationFines Migration Evaluation in a Mature Field in
LibyaKaibin Qiu, Schlumberger; Yousef Gherryo and Mohamed Shatwan,
AGOCO (Libya); and John Fuller, SPE, and Wesley Martin, SPE,
SchlumbergerAbstract An experimental study was conducted on the
mature Messla field to investigate the mechanism of fines migration
and its contribution in formation damage. In the study an advanced
laboratory test programme was designed after investigation of
production history well performance in-situ stress state and
depletion history. The programme included critical velocity tests
and pore volume Compressibility (PVC) fines migration tests. The
critical velocity tests investigated the relationship between flow
rate and decrease of permeability by flowing the core plug at
different flow rate and concurrently measuring corresponding
permeability. Additionally alternating flow of kerosene and
formation water was conducted in the tests to investigate the
effect of water breakthrough on fines migration. The PVC fines
migration tests were carried out by applying triaxial loading to
the samples that followed the stress path of reservoir depletion to
identify any critical depletion level that may damage the formation
during reservoir production. Concurrently horizontal flow
measurements were made with the PVC tests to simulate production.
In addition produced fines were evaluated by using standard light
microscope and Scanning Electron Microscopy (SEM). The composition
of any fines collected is further identified through X-Ray
Diffraction (XRD) analysis. Through these tests the tendency and
severity of fines migration in this field were investigated and the
impact of reservoir depletion on permeability was revealed. Based
on the knowledge the sandface completions were optimized to improve
their performance. Introduction The giant Messla field is located
in the southeast portion of Sirte Basin in Libya approximately 500
km southeast from Benghazi.1 The field operated by AGOCO has been
producing since the year 1971. Currently production decline has
been observed from many wells in this field. It was recognized that
to address production decline in the field a comprehensive
investigation had to be conducted to delineate the major
contributing factors. Understanding the mechanism of fines
migration and its contribution to formation damage is an essential
aspect of the study. Once understood remedies such as acidization
or fines stabilization can be applied to effectively address
formation damage and improve production. Furthermore the knowledge
will also provide pertinent guidance on the design of sandface
completions to address the sanding issues in the field.1 Literature
review indicated that formation fines are ubiquitous in oil- and
gas-bearing sandstones 2 3 4 5 especially in unconsolidated
materials.6 Fines migration generally refers to small solid
unattached particles of sand and/or clay which have become
dislodged entrained in the flowing fluids and transported through
the porous formation towards the well. During migration fines can
bridge pore throats and restrict fluid movement.7 This process can
severely damage the formation as well as sandface completions 8 9
10 11 12 thereby causing devastating effect on the productivity of
wells or reservoirs. In the last 30 years different attempts have
been made to address fines migration and related formation damage.3
6 12 13 14 15 16 17 18 19 To address the problems of production
decline in the Messla field an investigation of fines migration and
its involvement in formation damage was regarded as essential. A
key finding of previous investigations in the industry is that
there is a critical velocity or flow rate below which entrainment
of fines does not occur and above which the rate of entrainment
increases linearly with flow rate.5 7 8 11 13 17 20 21 Therefore it
is often observed from a flowing test that at initial low flow rate
the permeability of the core sample remains constant but once the
flow rate increases to a critical level there is sharp decrease in
permeability. In this study critical velocity tests were conducted
to determine if fines migration is an issue in the production of
Messla reservoir sandstone and if so at what production rates fines
migration would become an
issue.OnePetroOnePetroSHELLSPE103054Reservoir
PerformanceMechanismFluid Mixing IssuesFlow Reversal and
MixingRaman K. Jha, Abraham K. John, Steven L. Bryant, and Larry W.
Lake, University of Texas at AustinSummary Flow-reversal studies
provide insights into mixing mechanisms in flow through porous
media. In these studies the direction of flow is reversed after the
solute slug has penetrated into the medium (but not exited) to a
predetermined distance. We simulated the effect of flow reversal on
mixing in 2D porous media using two different approaches. In the
first approach we perform direct numerical simulation of a
solute-slug transport (by solving Navier-Stokes and
convection/diffusion equations) in a surrogate pore space. This
approach allows a direct visualization of mixing in simple flow
geometries. The effect of flow reversal on mixing is investigated
for several diffusion coefficients penetration depths and flow
geometries. The second approach uses particle tracking to simulate
the effect of flow reversal at larger length scales. This approach
is free of numerical dispersion can be used in the absence of
diffusion and has no limits on the size of the simulation. It is
however limited to layered-media flow. The simulation studies
presented in this paper explain the mechanism of mixing and the
origin of the irreversibility of dispersion in flow through porous
media. We also explain several experimental observations on
flow-reversal tests found in the literature. Mixing in porous media
takes place because of interaction between convective spreading and
molecular diffusion. The converging/diverging paths and flow around
impervious sand grains cause the solute front to stretch and split.
In this process the area of contact between the solute slug and the
resident fluid increases by an order of magnitude and diffusion
becomes an effective mixing mechanism. This local mixing caused by
diffusion is irreversible. For purely convective transport solute
particles retrace their path back to the inlet upon flow reversal.
Convective spreading gets canceled and echo dispersion is 0.
Diffusion even though small in magnitude is responsible for local
mixing and making dispersion in porous media irreversible. Thus it
is important to include the effect of diffusion when analyzing
miscible displacements in porous media.OnePetroBPSPE107137Reservoir
PerformanceMechanismHeretrogeneous FlowImpact of Heterogeneity on
Flow in Fluvial-Deltaic Reservoirs: Implications for the Giant ACG
Field, South Caspian BasinKevin Choi, Matthew Jackson, and Gary
Hampson, Imperial College London, and Alistair Jones, and Tony
Reynolds, BPAbstract The ACG Oilfield caps an elongate anticline
with three culminations - Azeri Chirag and Gunashli - and is
located in the offshore Azerbaijan sector of the south Caspian
Basin. This study focuses on Azeri in the south-east of the
structure which has over 8 billion barrels of oil in place. The
major reservoir interval the Pliocene Pereriv Suite is
characterized by laterally continuous layers of variable
net-to-gross (NTG) deposited in a fluvialdeltaic environment. Azeri
is being developed by down-dip water injection with up-dip gas
injection on the more steeply dipping central north flank. At the
planned offtake rates both recovery mechanisms are expected to be
stable. However these predictions are based on reservoir models
which do not explicitly capture the full range of geologic
heterogeneity present in the Pereriv Suite reservoirs. We report
the first detailed assessment of the impact of large- and
intermediate-scale heterogeneities on flow. Experimental design
techniques have been used to rank the impact of different
heterogeneities. A key finding is that communication between
adjacent high and low NTG reservoir layers significantly improves
recovery providing pressure support and a route for oil production
from sandbodies within the low NTG layers which would otherwise be
isolated. Heterogeneity within high NTG layers has only a small
impact on recovery but heterogeneity within low NTG layers is much
more significant. In most cases the same significant
heterogeneities impact both water and gas displacements because
both displacements are stable at the planned production rates. The
results are applicable to Azeri and to similar reservoirs in the
Caspian Basin. They also represent the first comparison of
water-oil and gas-oil displacements in fluvial-deltaic reservoirs
using 3D geologic/simulation models derived from outcrop and
subsurface data. Introduction The giant Azeri-Chirag-Gunashli (ACG)
Field occurs in a large elongate anticlinal structure located in
the offshore Azerbaijan sector of the south Caspian Basin (Fig.
1A). The structure has steeply dipping limbs and contains three
culminations (Azeri Chirag and Gunashli). This paper focuses on the
Azeri accumulation in the south-east of the ACG structure which
contains an estimated 8 billion barrels of oil in place. The ACG
field development project is one of the largest current energy
projects (US$20 billion aggregate) in the world. The Azerbaijan
International Operating Company operated by BP has been awarded a
30 year production license for ACG which expires in 2025 and plans
to bring total production in ACG to 1 million bbls oil/day by 2008.
The oil fields of the South Caspian Basin (Fig. 1A) have reservoirs
in the thick (up to 7000 m) latest Miocene to early Pliocene strata
of the Productive Series (Fig. 2A). These strata record multiple
high-frequency cycles of deltaic shoreline advance and retreat in
response to fluctuating lake levels in the isolated South Caspian
Basin1-4 (Fig. 1B). The resulting Productive Series stratigraphy is
strongly layered (Fig. 2A) and sandstone-bearing intervals are
bounded by laterally extensive mudstones1-4. Productive Series
sandstones in the northern part of the South Caspian Basin
(including the ACG Field) are quartz-rich well rounded and well
sorted indicating deposition by the paleo-Volga River and Delta5
(Fig. 1B).SCHLUMBERGERSPE102715Reservoir
PerformanceMechanismNon-Dacy FlowApplicability of the Forchheimer
Equation for Non-Darcy Flow in Porous MediaH. Huang, SPE, and J.
Ayoub, SPE, SchlumbergerAbstract The subject of non-Darcy flow in
hydraulically fractured wells has generated intense debates
recently. One aspect of the discussion concerns the inertia
resistance factor or the so-called beta factor in the Forchheimer
equation and whether the beta factor for a proppant pack should be
constant over the range of flow rates of practical interests. The
problem was highlighted in a recent discussion by Batenburg and
Milton-Tayler1 and the reply by Barree and Conway2 regarding paper
SPE 893253 in the JPT in August 2005. To properly assess all the
arguments and to get a better understanding of the state-of-the-art
on non-Darcy flow in porous media in general literature concerning
the theoretical basis of the Forchheimer equation and experimental
work on the identification of flow regimes is reviewed. These areas
of work provide insights into the applicability of the Forchheimer
equation to conventional oilfield flow tests for proppant packs.
Models for flow beyond the Forchheimer regime are also suggested.
Introduction The effect of non-Darcy flow as one of the most
critical factors in reducing the productivity of hydraulically
fractured high rate wells has been documented extensively with
examples of field cases3-7. The inertia resistance factor or the
so-called beta factor b a parameter in the Forchheimer equation for
quantifying the non-Darcy flow effect is now routinely measured for
proppant packs. Nevertheless how to derive the beta factor b from
experimental data is still controversy. In a recent issue of the
JPT in August 2005 there was a discussion by Batenburg and
Milton-Tayler1 and the reply by Barree and Conway2 regarding paper
SPE 893253 on whether the beta factor for a proppant pack should be
constant over the range of flow rates of practical interests. The
so-called non-Darcy flow in porous media occurs if the flow
velocity becomes large enough so that Darcys law8 for the pressure
gradient and the flow velocity i.e. (1) is no longer valid. In Eq.
1 permeability k is an intrinsic property of porous media. To
describe the nonlinear flow situation a quadratic term was included
by Dupuit9 and Forchheimer10 to generalize the flow equation i.e.
(2) Eq. 2 is commonly known as the Forchheimer equation. In the
discussion of Batenburg and Milton-Tayler1 and Barree and Conway 2
it was presumed that non-Darcy flow in their experiments can be
described by the Forchheimer equation. According to the convention
of the oil and gas industry the beta factor is generally deduced
experimentally from the slope of the plot of the inverse of the
apparent permeability 1/kapp vs. a dimensional pseudo Reynolds
number V/ (also called the Forchheimer graph). The apparent
permeability kapp is defined as (3) after rewriting the Forchheimer
equation. Based on the linear correlations obtained between 1/kapp
and V/ (see Fig. 1) Batenburg and Milton-Tayler1 concluded that the
beta factor is constant for the range of flow rates of practical
interests. It was recognized that the correlation however does not
reduce to the inverse of Darcy permeability 1/k when extrapolated
to zero velocity. Barree and Conway 2 on the other hand obtained a
nonlinear concave down curve shape for the variation of 1/kapp vs.
V/ (see Fig. 2) and concluded therefore that the beta factor is not
constant over the range of investigation. It was argued that the
fact that a linear correlation does not reduce to 1/k at zero
velocity indicates that the correlation is
insufficient.CHEVRONSPE96448Reservoir PerformanceMechanismRel.
Perm. HysteresisA New Model of Trapping and Relative Permeability
Hysteresis for All Wettability CharacteristicsElizabeth J. Spiteri,
SPE, Chevron Energy Technology Company; Ruben Juanes, SPE,
Massachusetts Institute of Technology; Martin J. Blunt, SPE,
Imperial College London; and Franklin M. Orr, Jr., SPE, Stanford
UniversitySummary The complex physics of multiphase flow in porous
media are usually modeled at the field scale using Darcy-type
formulations. The key descriptors of such models are the relative
permeabilities to each of the flowing phases. It is well known that
whenever the fluid saturations undergo a cyclic process relative
permeabilities display hysteresis effects. In this paper we
investigate hysteresis in the relative permeability of the
hydrocarbon phase in a two-phase system. We propose a new model of
trapping and waterflood relative permeability which is applicable
for the entire range of rock wettability conditions. The proposed
formulation overcomes some of the limitations of existing trapping
and relative permeability models. The new model is validated by
means of pore-network simulation of primary drainage and
waterflooding. We study the dependence of trapped (residual)
hydrocarbon saturation and waterflood relative permeability on
several fluid/rock properties most notably the wettability and the
initial water saturation. The new model is able to capture two key
features of the observed behavior: (1) non-monotonicity of the
initial-residual curves which implies that waterflood relative
permeabilities cross; and (2) convexity of the waterflood relative
permeability curves for oil-wet media caused by layer flow of oil.
Introduction Hysteresis refers to irreversibility or path
dependence. In multiphase flow it manifests itself through the
dependence of relative permeabilities and capillary pressures on
the saturation path and saturation history. From the point of view
of pore-scale processes hysteresis has at least two sources:
contact angle hysteresis and trapping of the nonwetting phase. The
first step in characterizing relative permeability hysteresis is
the ability to capture the amount of oil that is trapped during any
displacement sequence. Indeed a trapping model is the crux of any
hysteresis model: it determines the endpoint saturation of the
hydrocarbon relative permeability curve during waterflooding.
Extensive experimental and theoretical work has focused on the
mechanisms that control trapping during multiphase flow in porous
media (Geffen et al. 1951; Lenormand et al. 1983; Chatzis et al.
1983). Of particular interest to us is the influence of wettability
on the residual hydrocarbon saturation. Early experiments in
uniformly wetted systems suggested that waterflood efficiency
decreases with increasing oil-wet characteristics (Donaldson et al.
1969; Owens and Archer 1971). These experiments were performed on
cores whose wettability was altered artificially and the results
need to be interpreted carefully for two reasons: (1) reservoirs do
not have uniform wettability and the fraction of oil-wet pores is a
function of the topology of the porous medium and initial water
saturation (Kovscek et al. 1993); and (2) the coreflood experiments
were not performed for a long enough time and not enough pore
volumes were injected to drain the remaining oil layers to achieve
ultimate residual oil saturation. In other coreflood experiments in
which many pore volumes were injected the observed trapped/residual
saturation did not follow a monotonic trend as a function of
wettability and was actually lowest for intermediate-wet to oil-wet
rocks (Kennedy et al. 1955; Moore and Slobod 1956; Amott 1959).
Jadhunandan and Morrow (1995) performed a comprehensive
experimental study of the effects of wettability on waterflood
recovery showing that maximum oil recovery was achieved at
intermediate-wet conditions. An empirical trapping model typically
relates the trapped (residual) hydrocarbon saturation to the
maximum hydrocarbon saturation; that is the hydrocarbon saturation
at flow reversal. In the context of waterflooding a trapping model
defines the ultimate residual oil saturation as a function of the
initial water saturation. The most widely used trapping model is
that of Land (1968). It is a single-parameter model and constitutes
the basis for a number of relative permeability hysteresis models.
Other trapping models are those of Jerauld (1997a) and Carlson
(1981). These models are suitable for their specific applications
but as we show in this paper they have limited applicability to
intermediate-wet and oil-wet media. Land (1968) pioneered the
definition of a flowing saturation " and proposed to estimate the
imbibition relative permeability at a given actual saturation as
the drainage relative permeability evaluated at a modeled flowing
saturation. Lands imbibition model (1968) gives accurate
predictions for water-wet media (Land 1971) but fails to capture
essential trends when the porous medium is weakly or strongly
wetting to oil. The two-phase hysteresis models that are typically
used in reservoir simulators are those by Carlson (1981) and
Killough (1976). A three-phase hysteresis model that accounts for
essential physics during cyclic flooding was proposed by Larsen and
Skauge (1998). These models have been evaluated in terms of their
ability to reproduce experimental data (Element et al. 2003;
Spiteri and Juanes 2006) and their impact in reservoir simulation
of water-alternating-gas injection (Spiteri and Juanes 2006;
Kossack 2000). Other models are those by Lenhard and Parker (1987)
Jerauld (1997a) and Blunt (2000). More recently hysteresis models
have been proposed specifically for porous media of mixed
wettability (Lenhard and Oostrom 1998; Moulu et al. 1999; Egermann
et al. 2000). All of the hysteresis models described require a
bounding drainage curve and either a waterflood curve as input or a
calculated waterflood curve using Lands model. The task of
experimentally determining the bounding waterflood curves from core
samples is arduous and the development of an empirical model that
is applicable to non-water-wet media is desirable. In this paper we
introduce a relative permeability hysteresis model that does not
require a bounding waterflood curve and whose parameters may be
correlated to rock properties such as wettability and pore
structure. Because it is difficult to probe the full range of
relative permeability hysteresis for different wettabilities
experimentally we use a numerical tool--pore-scale modeling--to
predict the trends in residual saturation and relative
permeability. As we discuss later pore-scale modeling is currently
able to predict recoveries and relative permeabilities for media of
different wettability reliably (Dixit et al. 1999; ren and Bakke
2003; Jackson et al. 2003; Valvatne and Blunt 2004; Al-Futaisi and
Patzek 2003 2004). We will use these predictions as a starting
point to explore the behavior beyond the range probed
experimentally. In summary this paper presents a new model of
trapping and waterflood relative permeability which is able to
capture the behavior predicted by pore-network simulations for the
entire range of wettability conditions."Imperial
CollegeSPE96448Reservoir PerformanceMechanismRel. Perm. HysteresisA
New Model of Trapping and Relative Permeability Hysteresis for All
Wettability CharacteristicsElizabeth J. Spiteri, SPE, Chevron
Energy Technology Company; Ruben Juanes, SPE, Massachusetts
Institute of Technology; Martin J. Blunt, SPE, Imperial College
London; and Franklin M. Orr, Jr., SPE, Stanford UniversitySummary
The complex physics of multiphase flow in porous media are usually
modeled at the field scale using Darcy-type formulations. The key
descriptors of such models are the relative permeabilities to each
of the flowing phases. It is well known that whenever the fluid
saturations undergo a cyclic process relative permeabilities
display hysteresis effects. In this paper we investigate hysteresis
in the relative permeability of the hydrocarbon phase in a
two-phase system. We propose a new model of trapping and waterflood
relative permeability which is applicable for the entire range of
rock wettability conditions. The proposed formulation overcomes
some of the limitations of existing trapping and relative
permeability models. The new model is validated by means of
pore-network simulation of primary drainage and waterflooding. We
study the dependence of trapped (residual) hydrocarbon saturation
and waterflood relative permeability on several fluid/rock
properties most notably the wettability and the initial water
saturation. The new model is able to capture two key features of
the observed behavior: (1) non-monotonicity of the initial-residual
curves which implies that waterflood relative permeabilities cross;
and (2) convexity of the waterflood relative permeability curves
for oil-wet media caused by layer flow of oil. Introduction
Hysteresis refers to irreversibility or path dependence. In
multiphase flow it manifests itself through the dependence of
relative permeabilities and capillary pressures on the saturation
path and saturation history. From the point of view of pore-scale
processes hysteresis has at least two sources: contact angle
hysteresis and trapping of the nonwetting phase. The first step in
characterizing relative permeability hysteresis is the ability to
capture the amount of oil that is trapped during any displacement
sequence. Indeed a trapping model is the crux of any hysteresis
model: it determines the endpoint saturation of the hydrocarbon
relative permeability curve during waterflooding. Extensive
experimental and theoretical work has focused on the mechanisms
that control trapping during multiphase flow in porous media
(Geffen et al. 1951; Lenormand et al. 1983; Chatzis et al. 1983).
Of particular interest to us is the influence of wettability on the
residual hydrocarbon saturation. Early experiments in uniformly
wetted systems suggested that waterflood efficiency decreases with
increasing oil-wet characteristics (Donaldson et al. 1969; Owens
and Archer 1971). These experiments were performed on cores whose
wettability was altered artificially and the results need to be
interpreted carefully for two reasons: (1) reservoirs do not have
uniform wettability and the fraction of oil-wet pores is a function
of the topology of the porous medium and initial water saturation
(Kovscek et al. 1993); and (2) the coreflood experiments were not
performed for a long enough time and not enough pore volumes were
injected to drain the remaining oil layers to achieve ultimate
residual oil saturation. In other coreflood experiments in which
many pore volumes were injected the observed trapped/residual
saturation did not follow a monotonic trend as a function of
wettability and was actually lowest for intermediate-wet to oil-wet
rocks (Kennedy et al. 1955; Moore and Slobod 1956; Amott 1959).
Jadhunandan and Morrow (1995) performed a comprehensive
experimental study of the effects of wettability on waterflood
recovery showing that maximum oil recovery was achieved at
intermediate-wet conditions. An empirical trapping model typically
relates the trapped (residual) hydrocarbon saturation to the
maximum hydrocarbon saturation; that is the hydrocarbon saturation
at flow reversal. In the context of waterflooding a trapping model
defines the ultimate residual oil saturation as a function of the
initial water saturation. The most widely used trapping model is
that of Land (1968). It is a single-parameter model and constitutes
the basis for a number of relative permeability hysteresis models.
Other trapping models are those of Jerauld (1997a) and Carlson
(1981). These models are suitable for their specific applications
but as we show in this paper they have limited applicability to
intermediate-wet and oil-wet media. Land (1968) pioneered the
definition of a flowing saturation " and proposed to estimate the
imbibition relative permeability at a given actual saturation as
the drainage relative permeability evaluated at a modeled flowing
saturation. Lands imbibition model (1968) gives accurate
predictions for water-wet media (Land 1971) but fails to capture
essential trends when the porous medium is weakly or strongly
wetting to oil. The two-phase hysteresis models that are typically
used in reservoir simulators are those by Carlson (1981) and
Killough (1976). A three-phase hysteresis model that accounts for
essential physics during cyclic flooding was proposed by Larsen and
Skauge (1998). These models have been evaluated in terms of their
ability to reproduce experimental data (Element et al. 2003;
Spiteri and Juanes 2006) and their impact in reservoir simulation
of water-alternating-gas injection (Spiteri and Juanes 2006;
Kossack 2000). Other models are those by Lenhard and Parker (1987)
Jerauld (1997a) and Blunt (2000). More recently hysteresis models
have been proposed specifically for porous media of mixed
wettability (Lenhard and Oostrom 1998; Moulu et al. 1999; Egermann
et al. 2000). All of the hysteresis models described require a
bounding drainage curve and either a waterflood curve as input or a
calculated waterflood curve using Lands model. The task of
experimentally determining the bounding waterflood curves from core
samples is arduous and the development of an empirical model that
is applicable to non-water-wet media is desirable. In this paper we
introduce a relative permeability hysteresis model that does not
require a bounding waterflood curve and whose parameters may be
correlated to rock properties such as wettability and pore
structure. Because it is difficult to probe the full range of
relative permeability hysteresis for different wettabilities
experimentally we use a numerical tool--pore-scale modeling--to
predict the trends in residual saturation and relative
permeability. As we discuss later pore-scale modeling is currently
able to predict recoveries and relative permeabilities for media of
different wettability reliably (Dixit et al. 1999; ren and Bakke
2003; Jackson et al. 2003; Valvatne and Blunt 2004; Al-Futaisi and
Patzek 2003 2004). We will use these predictions as a starting
point to explore the behavior beyond the range probed
experimentally. In summary this paper presents a new model of
trapping and waterflood relative permeability which is able to
capture the behavior predicted by pore-network simulations for the
entire range of wettability conditions."SHELLSPE115274Reservoir
PerformanceMechanismRock CompactionImpact of Pore Volume
Compressibility on Recovery from Depletion Drive & Miscible Gas
Injection in South OmanByron Haynes, Jr., Ahmed Abdelmawla and
Simon Stromberg, Petroleum Development OmanAbstract Rock Pore
Volume Compressibility (PVC) data can be misinterpreted during the
early life of reservoir development due to the fact that there are
minimal amounts of this data acquired during early reservoir life.
This data is typically obtained from uniaxial or hydrostatic tests
using conventional core acquired during the appraisal phase of the
reservoir. This article presents a case study from a cluster of
reservoirs in Southern Oman that highlights the importance of using
PVC to determine reserves associated with both the primary
depletion and miscible gas injection. The cluster is being
developed in a phased approach. The key objective of each phase is
to gather data from the different reservoirs to assess if a
miscible gas injection project would be feasible. Permanent
downhole pressure gauges have been utilized to monitor reservoir
performance from the depletion phase and to aid in the forecasting
of oil recovery for the miscible gas injection projects. The
reservoir pressure in one of the reservoirs producing in the
depletion phase has declined faster than expected and can be
attributable to either lower than expected oil in place volume or a
lower the expected PVC. Obviously having lower oil volumes in place
would greatly impact the economics of a miscible gasflood
development. Therefore renewed focus on proper evaluation of the
PVC from the latest emerging core data from appraisal wells in a
this reservoir has indicated that although the originally assumed
PVC was within the uncertainty range it was at the high range of
the data and some of the measured data was skewing the average. A
new look at the material balance and simulation results verified
that PVC and not a reduction in OOIP was the root cause of the
difference in performance estimates and the observed reservoir
performance. By using a new lower average PVC the observed
reservoir pressure is found to be consistent with new material
balance and reservoir simulation results. This approach has clearly
provided vital information to underpin the recoverable reserves
associated with the miscible gas injection. Introduction Rock Pore
Volume Compressibility (PVC) data can be misinterpreted during the
early life of reservoir development due to the fact that there are
minimal amounts of this data acquired during early reservoir life.
This data is typically obtained from uniaxial or hydrostatic tests
using conventional core acquired during the appraisal phase of the
reservoir. This paper presents a case study from a green field
reservoir in South Oman for estimating recovery from primary
depletion and miscible gas injection processes and highlights the
importance of using the correct PVC in undersaturated oil
reservoirs. The reservoir under consideration is part of of a
cluster of fields located south of Oman Fig.1. The cluster consists
of a group of fields discovered between 1996 and 2007. These
reservoirs are deep and high pressure reservoirs with some
over-pressured (lithostatically pressured). These reservoirs are
carbonate stringers encased in salt with different cycles of
deposition Fig. 2. The reservoir rock is Ara 2 Carbonate (A2C)
which is mainly dolomite with some Limestone. In this reservoir
dolomitization is linked to the productive
intervals.SHELLSPE102186Reservoir PerformanceMechanismSteam
InjectionThe Physics of Steam Injection in Fractured Carbonate
Reservoirs: Engineering Development Options That Minimize RiskG.T.
Shahin Jr, SPE, Shell E&P Technology; R. Moosa, SPE, PDO; B.
Kharusi, SPE, and G. Chilek, Shell E&P TechnologyAbstract
Naturally fractured carbonate reservoirs hold well over 100 billion
barrels of heavy oil worldwide. Thermally Assisted Gas Oil Gravity
Drainage (TAGOGD) is a new and novel thermal EOR technique which
has applicability in selected reservoirs. In conventional
isothermal GOGD vertical fractures cause the gas-oil contact in the
fracture system to advance ahead of the gas-oil contact within the
matrix blocks causing the oil in these blocks to become mobile. The
addition of heat in the fractures generates additional hydrocarbon
gas cap lowers the viscosity of the oil and accelerates
conventional GOGD as seen in the 220 cp heavy-oil Qarn Alam field
in Oman. Pilot results in the Qarn Alam field support the
commerciality of this process and a first-of-its-kind steam
injection project is being implemented. The economic success of the
Qarn Alam project depends on the ability to credibly predict steam
requirements and oil production. Two key oil production mechanisms
are heat transport through the fractures and into the matrix and
subsequent gas cap generation due to thermal volatilization of the
oil. The process mechanisms involved in TAGOGD were validated
through laboratory experiments while the field forecast model
results were validated by history matching pilot performance data.
A fully integrated workflow of fracture characterization integrated
reservoir physics and static and dynamic modeling has enabled
uncertainties and risks involved in developing the Qarn Alam field
to be managed in a scenario based design approach. Introduction The
Qarn Alam field is a highly fractured carbonate field that lies
atop a salt diapir in Northern Oman. The 6 km long and 3 km wide
field forms a relatively high-relief anticline with a N-NE by SSW
orientation. The reservoir is relatively compact dome-shaped
structure with a maximum oil column of 165 m. The main oil bearing
reservoirs the Shuaiba and Kharaib formations are separated by a
very low permeability oil bearing zone called the Hawar. The crest
of the Shuaiba is located at 212 mss and the original oil water
contact is ~375 mss. Fracturing occurs throughout all zones and is
believed to be contiguous and in hydraulic communication with a
very active aquifer. The initial oil saturation is about 95% and
initial water saturation is connate water. The matrix porosity is
high (~30%) while the matrix permeability ranges between 5 md-20
md. Under primary production the reservoir produces on average
about 100 m3/day of 16o API heavy oil at a GOR of 10
m3/m3.SHELLSPE113464Reservoir PerformanceMechanismSteam
InjectionExperimental Investigation of Steam Injection in Light Oil
Fractured CarbonatesMarco Verlaan, Shell International Exploration
and Production, Rijswijk, The Netherlands; Paul Boerrigter, Shell
International Exploration and Production, Rijswijk, The
Netherlands, Shell Technology Oman, Muscat, Sultanate of Oman;.
Sjaam Oedai, Shell International Exploration and Production,
Rijswijk, The Netherlands; and Johan van Dorp, Shell Technology
Oman, Muscat, Sultanate of OmanAbstract Conventional displacement
methods such as water flooding do not work effectively in densely
fractured reservoirs. In such reservoirs one has to rely on
recovery mechanisms like capillary imbibition or gravity to recover
oil from the reservoir rock matrix. In oil-wet or mixed-wet
fractured carbonates only gravity drainage remains a feasible
process. However low permeabilities result in low gravity drainage
production rates with high remaining oil saturation. EOR methods
have the potential to improve GOGD drainage rate and ultimate
recovery. Especially for shallow fractured reservoirs it may be
attractive to inject steam to improve oil rate and recovery.
Heating of the matrix will result in oil expansion reduction of
viscosity solution gas drive and steam stripping of intermediate
hydrocarbon components. Solution gas drive and steam stripping
effects potentially become more important than the viscosity
reduction. We experimentally investigated the physical mechanisms
involved. We present the results of a laboratory study in which
reservoir core with light crude oil at reservoir conditions is
heated to steam temperature. From these experiments and separate
PVT measurements the effects of thermal expansion of oil gas
liberation and initial water saturation are investigated. The
experiments are interpreted numerically by detailed modelling of
the observed production. The results show that connate water has a
big impact on the gas drive and distillation process and as a
consequence enhances the oil recovery. Introduction The connected
fracture network in densely fractured reservoirs has a strong
impact on reservoir displacement mechanisms. Conventional
displacement methods such as water flooding do not work
effectively: due to the high fracture permeability it is not
possible to establish significant pressure differentials across oil
bearing matrix blocks to drive oil from matrix rock into the
fracture system. In densely fractured reservoirs one relies on
mechanisms like capillary imbibition or gravity to recover oil from
the matrix reservoir rock. Fractured carbonate reservoirs are
commonly oil wet or mixed wet and the main production mechanism is
gravity. Once a gas cap is established in the fracture system the
oil will drain down the matrix rock driven by gravity and into the
fracture system at flow barriers. In the fracture system the oil
forms a (thin) rim that can be produced. Production rates achieved
with this GOGD (Gas Oil Gravity Drainage) process are often low due
to low matrix rock permeability capillary hold-up and re-imbibition
effects. Capillary hold-up also reduces ultimate recovery. Both
miscible gas injection and steam injection are feasible EOR
processes to accelerate the production and increase recovery. Steam
injection in heavy oil reservoirs is common practice and recently
receives more attention in naturally fractured reservoirs1-6. Steam
injection in light oil reservoirs is not common although there are
some examples of steam flooding non-fractured or sparsely fractured
reservoirs7. Thermally assisted gas-oil gravity drainage (TA-GOGD)
in light oil has not been done before. Burger8 already suggested
that the increase in temperature in light oil naturally fractured
reservoirs would lead to oil expulsion of significant quantities of
oil from the matrix blocks into the fracture. The recovery
mechanisms that play a role are very similar to those of a light
oil steam flood9: Viscosity reduction Distillation Gas
driveCHEVRONSPE91393Reservoir PerformanceMechanismWater
VaporizationModeling of Experiments on Water Vaporization for Gas
Injection Using Traveling WavesElizabeth Zuluaga* and Larry W.
Lake, University of Texas at Austin, SPE * Now with Chevron Energy
Technology CompanySummary Dry gas injected into wells will vaporize
water from near the wellbore. The vaporization starts from the well
and proceeds outward. Gas flowing to producers is in equilibrium
with the reservoir brine but water will be vaporized because the
pressure drop that occurs toward the wellbore increases the ability
of the gas to contain water. Thus there are different mechanisms
for injection and production. For both gas injection and gas
production vaporization concentrates solids in the brine that will
precipitate into the formation when sufficiently concentrated. This
paper reports on a combined experimental and theoretical analysis
on the vaporization portion of this problem for dry gas injection.
Experiments have been performed previously to determine the rate of
water vaporization from Berea core samples at uniform initial water
saturation (Zuluaga and Monsalve 2003). These experiments were
performed by injecting dry methane into core samples that contained
immobile water to represent water vaporization in a gas injector.
Effluent water concentration curves showed two vaporization
periods: a constant rate period and a falling rate period. The
existence of a constant rate period means that the mass transfer
within the core is occurring at conditions of local equilibrium. We
interpret the falling rate period as the result of a moving
capillary transition zone in which the amount of water vaporized
decreases slowly because of capillary pressure effects. The falling
rate period is the consequence of capillary imbibition of a wetting
phase at very small saturation. We interpret the vaporization
results with two traveling wave solutions. The first which can be
solved analytically assumes that the capillary diffusion
coefficient D and the volume fraction of water in the gaseous phase
Cwg are constant. For this case the results of the traveling wave
solution are matched to the results of laboratory experiments by
adjusting D. The second traveling-wave solution must be solved
through numerical integration. In this case the relative
permeability scaling exponent is adjusted to match the laboratory
experiments. The fitting provides insights into the nature of
wetting phase flow at small saturation. Lastly the experimental and
mathematical procedure discussed in this paper is certainly a new
method to obtain relative permeability exponents for the wetting
phase at very low values of wetting-phase saturation (down to
theoretically zero values). Introduction Dodson and Standing (1944)
performed the first experimental study to determine the amount of
water vaporized at different pressures and temperatures using PVT
cells. They found that the rate of water vaporization increases
with temperature and decreases with pressure and solids content in
the water. Bette and Heinemann (1989) confirmed vaporization in
cores taken from gas injectors in the Arun field. The water content
in these cores was very small; in some cases the cores were
completely dry. Kamath and Laroche (2000) and Mahadevan and Sharma
(2005) performed experiments in permeable media that were initially
fully saturated with brine. When gas was used as a displacing fluid
there were two flow regimes: a displacement regimen followed by a
vaporization regimen. Using gas as both a displacing agent and a
drying agent makes the study of the vaporization alone difficult.
Zuluaga and Monsalve (2003) performed vaporization experiments in
permeable media at outlet pressures ranging from 1 000 to 2 000
psig and temperatures from 194 to 212F. The experiments were not
displacements the initial water saturation being set as a
nonflowing saturation by a porous plate method. Fig. 1 shows the
rate of water production for an experiment performed at 1 500 psig
outlet pressure and 194F. The experiments were perfomed by
measuring the accumulated mass of water as it exited the medium and
as it was sorbed on a silica substrate. The rate shown in Fig. 1
was obtained by differentiating the cumulative data with respect to
time. Two vaporization periods occur: a constant rate period and a
falling rate period. These two periods of water vaporization have
been extensively reported for drying of solids (ceramic wood) in
the chemical engineering literature (Allerton 1949; Perry and Green
1984; Mujumdar 1987). Our goal is to understand and quantify this
behavior. There has been little modeling of water vaporization for
flow through permeable media. Most approaches have been based on
modifications of existing compositional simulators by incorporating
water as a component in the equation of state (Bette and Heinemman
1989; Kurihara et al. 2000). The effect of salinity has been
included either with salinity-dependent solubility tables (Morin
and Montel 1995) or by adding salt as a component in an equation of
state (Lee and Lin 1999). Some have modified material balance
equations to account for water vaporization (Humphreys 1991). This
study formulates and obtains solutions to the conservational laws
describing water vaporization. We study the vaporization for gas
injectors as a traveling wave in which capillary imbibition occurs.
The solution obtained allows predictions of remaining water
saturation with distance and time during both the constant and the
falling rate periods (Zuluaga 2005).Heriot Watt
UniversitySPE128607Reservoir PerformanceMechanism - DiagenesisNorth
Morecombe FieldRecovery Behaviour of a Partly Illitized Sandstone
Gas ReservoirAnthony O. Uwaga, SPE, Centrica EnergyAbstract
Diagenesis is defined as any chemical physical or biological change
undergone by a sediment (rock) after its initial deposition and
during and after its lithification exclusive of surface alteration
(weathering) and metamorphism. The diagenetic changes that occur in
the rock result in the alteration of some of the original
petrophysical properties of the rock. Porosity and permeability
amongst others have been established to be altered by diagenesis.
It is common knowledge in the industry that the amount of
hydrocarbon recovered from a reservoir is dependent amongst other
factors on the hydrocarbon initially-in-place in the reservoir and
the intra reservoir rock pore space conn