centenariofield case studyprojet.ifpen.fr/projet/upload/docs/application/pdf/2015-06/a_hryc.pdf ·...
TRANSCRIPT
![Page 1: CentenarioField Case Studyprojet.ifpen.fr/Projet/upload/docs/application/pdf/2015-06/a_hryc.pdf · Reservoirs: Los Molles, Lajas, Lotena, Tordillo Low perm sandstones and conglomerates](https://reader034.vdocument.in/reader034/viewer/2022052013/602a1a4631c6a65a2c7db576/html5/thumbnails/1.jpg)
Centenario Field Case Study
a strategy for EOR design in a HT/HS field
Alejandra Hryc, Federico Hochenfellner
Pluspetrol SA, Argentina
EOR Workshop, Paris 2015
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• Field Location - Reservoir Description
• Production History
• EOR Screening and Process Selection
• Early Lab studies
• Faced Challenges
• Process Challenges
• Methodology Challenges
• Formulation Work Results
• Optimization Work and Project Status
• Main Lessons Learnt
Outline
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• Field Location - Reservoir Description
• Production History
• EOR Screening and Process Selection
• Early Lab studies
• Faced Challenges
• Process Challenges
• Methodology Challenges
• Formulation Work Results
• Optimization Work and Project Status
• Main Lessons Learnt
Outline
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NEUQUÉN
Centenario Field is located in the Neuquén Basin
Patagonia region, Argentina
Field Location
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NEUQUÉN
The field produces dry gas, wet gas and light oil.
Most of the oil reserves are located below the city of Neuquén.
Field Location
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Fluids:Light oil (40° API) (Tordillo, Lotena & Lajas)Wet gas (Lajas & Lotena) Dry gas (Los Molles)
Trap:Structural & Stratigraphic
Reservoirs:Los Molles , Lajas, Lotena, TordilloLow perm sandstones and conglomerates
Seals and source rock:Shale Formations Vaca Muerta and Los Molles
Average thickness:20-50 mts
Average depth:2550 mgl
Geological Data
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Conditions:
Temperature: 82°C
Original Pressure: 265 kg/cm2
Reservoir Fluids:
Oil Density: 40 API
Oil Viscosity: 0,7 cp (@RC)
Oil activity: non active
Original Water salinity: >150.000 ppm TDS
Reservoir water hardness: 40.000 ppm CaCO3
River water salinity: ~ 250 ppm TDS
Reservoir Rock :
Mix to oil-wet High clay content (illite, chlorite 10-30%)
Swir: ~0.35
Sorw: > 0.3
Permeability range: 1mD – 200+mD (kabs)
Porosity range: 9-13%
Very high heterogeneity ~ 0.9 Dykstra Parsons
Drive mechanism: waterflood - Hydraulically fractured
Reservoir Conditions
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• Field Location - Reservoir Description
• Production History
• EOR Screening and Process Selection
• Early Lab studies
• Faced Challenges
• Process Challenges
• Methodology Challenges
• Formulation Work Results
• Optimization Work and Project Status
• Main Lessons Learnt
Outline
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Production History
WcutP[%] qoP[m³/DC] qlP[m³/DC]
0
15
30
45
60
75
90
105
0
2000
4000
6000
8000
10000
12000Ce.x-1/Ce.x-2/Ce.a-3/Ce.a-4/Ce.a-5/...
1962 1965 1968 1971 1974 1977 1980 1983 1986 1989 1992 1995 1998 2001 2004 2007 2010 2013 2016
m3/
d
Wcu
t[%
]
Current Production
Qliq: 9800 m3/dQoil: 390 m3/dWcut: 96%
100
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• Field Location - Reservoir Description
• Production History
• EOR Screening and Process Selection
• Early Lab studies
• Faced Challenges
• Process Challenges
• Methodology Challenges
• Formulation Work Results
• Optimization Work and Project Status
• Main Lessons Learnt
Outline
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• Lotena Formation was selected as EOR target
(400 MMB OOIP, better reservoir conditions)
• Reservoir characteristics made it suitable for CEOR,in particular, surfactant - polymer flood
• Fresh water source availability is an upside for CEORapplications (simplifies selection process, lowerchemical consumption, lower costs)
EOR Screening and Process Selection
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• Field Location - Reservoir Description
• Production History
• EOR Screening and Process Selection
• Early Lab studies
• Faced Challenges
• Process Challenges
• Methodology Challenges
• Formulation Work Results
• Optimization Work and Project Status
• Main Lessons Learnt
Outline
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• Early lab studies started in 2007 in the search for a formulationthat would withstand harsh reservoir conditions
• Complex process requirements led Pluspetrol to take the projectto providers with capabilities to tailor design the chemistryrequired by the water-oil-rock system
• From 2009 on, extensive lab work began with surfactantdeveloper to tailor a formulation for Centenario case
• The EOR pilot zone was developed with infill drilling and freshwater injection
Early Lab Studies
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• Field Location - Reservoir Description
• Production History
• EOR Screening and Process Selection
• Early Lab studies
• Faced Challenges
• Process Challenges
• Methodology Challenges
• Formulation Work Results
• Optimization Work and Project Status
• Main Lessons Learnt
Outline
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Process challenges
1) Define injection salinity (optimal salinity window for surfactantformulation considering fresh water source/salinity gradient)
2) Quantify slug mixing in the front to request formulationchemical stability
3) Select polymer to withstand mixing front conditions and havethe desired rheology
Faced challenges
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Process challenges
1) Define injection salinity (optimal salinity window for surfactantformulation considering fresh water source/salinity gradient)
2) Quantify slug mixing in the front to request formulationchemical stability
3) Select a polymer to withstand mixing front conditions andhave the desired rheology
Methodology challenges
1) Limitations mimicking live oil in such light dead oils(surrogate oils)
2) Limited amount of usable cores (extremely highheterogeneous material. Representative & Repeatable? )
3) Definition of analogous fluids and core material (what kindof analogy is required)
Faced challenges
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How we addresses them
1) Define injection salinity (optimal salinity window forsurfactant formulation considering: fresh water source/salinitygradient)
Targeted a salinity that would allow finding a surfactant with
good interaction and generating salinity gradient in polymerflush
2) Quantify slug mixing in the front to request formulationchemical stability
Conducted a series of simulation studies for a betterunderstanding of the problematic
3) Select a polymer to withstand mixing front conditions andhave the desired rheology
Stability tests to screen different kinds of formulations underanaerobic conditions
Process Challenges
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Derived Simulation Work
Base Case - Assumptions– WF displacement is representative of Centenario field
• 150 g/L initial homogeneous reservoir salinity (initial state for WF)
• 1 g/L injection water salinity (always)
• 65 g/L average reservoir salinity prior to all chemical injections (heterogeneous salinity map)
– Sequence of injections: WF [0.4 PV] / S+P [0.3 PV] / P [0.5 PV]
200mD
180mD
160mD
140mD
120mD
100mD
80mD
60mD
40mD
20mD
2mD
0.2mD
P1 P2
P3 P4
I1
Process Challenges
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200mD
180mD
160mD
140mD
120mD
100mD
80mD
60mD
40mD
20mD
2mD
0.2mD
P1 P2
P3 P4
I1
P3 I1 P2
P1 I1 P4
Sequence of injections:
WF [0.4 PV] / S+P [0.3 PV] / P [0.5 PV]
Step 1: 0.4 VP injected
Process Challenges
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200mD
180mD
160mD
140mD
120mD
100mD
80mD
60mD
40mD
20mD
2mD
0.2mD
P1 P2
P3 P4
I1
P3 I1 P2
P1 I1 P4
Sequence of injections: WF [0.4 PV] / S+P [0.3 PV] / P [0.5 PV]
Step 2: 0.6 VP injected
Process Challenges
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200mD
180mD
160mD
140mD
120mD
100mD
80mD
60mD
40mD
20mD
2mD
0.2mD
P1 P2
P3 P4
I1
P3 I1 P2
P1 I1 P4
Sequence of injections: WF [0.4 PV] / S+P [0.3 PV] / P [0.5 PV]
Step 3: 0.8 VP injected
Process Challenges
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P3 I1 P2
P1 I1 P4
P3 I1 P2
P1 I1 P4
Step 3: 0.8 VP injected Step 4: 1.0 VP injected
Process Challenges
Green areas: [Csurf] > 50% [Csurf injected]
(Surfactant effectiveness)
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P3 I1 P2
P1 I1 P4
P3 I1 P2
P1 I1 P4
Step 3: 0.8 VP injected Step 4: 1.0 VP injected
Red areas: [Csurf] > 0 & Salinity > 1.0 g/l
(Mixing front conditions)
Process Challenges
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Salinity (left) and surfactant concentration (right) maps at t = 0.7 PV(Polymer Drive Start)
Process Challenges
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Summary and conclusions
A total of 30 cases were run, combining:
• Six chemical injections scenarios (different sequences, concentrations andmobility ratios)
• Five production strategies scenarios (considering well shut off, wellconversion and infill drilling)
For all cases it was derived that:
• To define slug salinity:
– Original salinity does not play a major role. Bulk surfactant mass interacts withreservoir oil under injection water salinity
– For Centenario study formulation was tailored for 3-5 g/l (3.6 g/l optimal salinity)
• To prevent formation damage:
– Salinity upper limit can be defined by quantifying the mixing that occurs in theslug front. The formulation needs to be chemically stable up to this limit
– For Centenario study, 40 g/l was defined an upper limit for formulation stability
Process Challenges
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Oil
• Significant amount of dissolved gas required formulationvalidation under live oil conditions
• Live oil low viscosity (0.7 cp) is hard to mimic under Patm. Needto select a surrogate oil for lab experiments
Temperature
• Degradation issues show at high temperature (f.e. ironinteraction) Specific anaerobic protocols are mandatory forrelevant evaluation
Reservoir Rock Selection
• Strong heterogeneities (at core, layer and sector model scale)makes selection of representative samples challenging
Methodology Challenges
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Methodology Challenges
**
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2562 2564 2564.52562.5 2563.52566
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Strong heterogeneities
• Preferred paths in small cores• Major limiting factor for core-scale experiments with limited slug sizes
28
4
3
CE1288 BOX 7
Full size coreCT-Scan image Tracer test
Methodology Challenges
a b c
3
a b c
4
1740
1760
1780
1800
1820
0 20 40 60 80X mm
CT-Scan image
0
0,2
0,4
0,6
0,8
1
0 2 4 6 8 10 12 14 16
C/C
0 (C
on
du
ctiv
ity)
Pore Volume injected (PV)
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• Field Location - Reservoir Description
• Production History
• EOR Screening and Process Selection
• Early Lab studies
• Faced Challenges
• Process Challenges
• Methodology Challenges
• Formulation Work Results
• Optimization Work and Project Status
• Main Lessons Learnt
Outline
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Selected formulation (AGES &AAS blend) has very good
interaction with Centenario fluids,achieving ultra low IFT region atoptimal salinity
Formulation Work Results
Coreflood test
High performance (80+ %ROIP Oilrecovery) in model rock(Clashach sandstone) wasachieved
Selected polymer (AMPS) showsdesired rheologic behavoir andcan withstand mixing frontconditions (aging tests andporous media evaluation done)
Salinity
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• Field Location - Reservoir Description
• Production History
• EOR Screening and Process Selection
• Early Lab studies
• Faced Challenges
• Process Challenges
• Methodology Challenges
• Formulation Work Results
• Optimization Work and Project Status
• Main Lessons Learnt
Outline
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Optimization Work and Project Status
Optimization tasks description
• Formulation long term stability tests
• Formulation robustness study
• CDC determination- relative perm end points
• SP injection strategy definition and core simulation
• Formulation performance under extreme conditions (low perm)
Results
• Most of the optimization tasks are completed
• High performance in model core (80+% recovery), incomplete oilrecovery in reservoir rock samples
• Further information is to be acquired to fully understand if core scaleheterogeneity is responsible for incomplete recovery on reservoir rock
• Formulation injectivity is a concern for such low permeabilities,therefore an injectivity test is planned once the lab tests uncertaintiesare narrowed down
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• Field Location - Reservoir Description
• Production History
• EOR Screening and Process Selection
• Early Lab studies
• Faced Challenges
• Process Challenges
• Methodology Challenges
• Formulation Work Results
• Optimization Work and Project Status
• Main Lessons Learnt
Outline
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Main lessons learnt
• HT/HS reservoirs are complex CEOR candidates that requirespecific approach
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Main lessons learnt
• HT/HS reservoirs are complex CEOR candidates that requirespecific approach
• When available, a low salinity water source can be veryhelpful to CEOR in HS reservoirs, allowing to freely tailor theoptimal salinity
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Main lessons learnt
• HT/HS reservoirs are complex CEOR candidates that requirespecific approach
• When available, a low salinity water source can be veryhelpful to CEOR in HS reservoirs, allowing to freely tailor theoptimal salinity
• Formulation stability is key to prevent damage in low permformations. Reservoir simulation can be a useful tool to definesalinity upper limit for the formulation to be chemically stable
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Main lessons learnt
• HT/HS reservoirs are complex CEOR candidates that requirespecific approach
• When available, a low salinity water source can be veryhelpful to CEOR in HS reservoirs, allowing to freely tailor theoptimal salinity
• Formulation stability is key to prevent damage in low permformations. Reservoir simulation can be a useful tool to definesalinity upper limit for the formulation to be chemically stable
• In highly heterogeneous reservoirs lab results can bechallenging to design, analyze and up-scale
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Main lessons learnt
• HT/HS reservoirs are complex CEOR candidates that requirespecific approach
• When available, a low salinity water source can be veryhelpful to CEOR in HS reservoirs, allowing to freely tailor theoptimal salinity
• Formulation stability is key to prevent damage in low permformations. Reservoir simulation can be a useful tool to definesalinity upper limit for the formulation to be chemically stable
• In highly heterogeneous reservoirs lab results can bechallenging to design, analyze and up-scale
• HS/HT CEOR projects could demand several years of researchand evaluation before moving to a field pilot scale
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Acknowledgments
Pluspetrol SA
for disclosing the results of this research
EOR Alliance (Solvay & IFP group)
for the years of dedication to this challenging project
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Thank you
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Back up Slides
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SIMULATION CASESA total of 30 cases were run, base case included:
Chemical injections strategiesA) WF [0.4 PV] / S [0.3 PV] / WF [0.5 PV]
B) WF [0.4 PV] / S [0.3 PV] / P1 [0.5 PV]
C) WF [0.4 PV] / S [0.3 PV] / P2 [0.5 PV]
D) WF [0.4 PV] / S+P1 [0.3 PV] / P1 [0.5 PV]
E) WF [0.4 PV] / S+P2 [0.3 PV] / P2 [0.5 PV]
P1 & P2 are the same polymer but with 500 ppm & 2000 ppm, Mr=1.2 & Mr=10
Production strategies0) Regular direct 5-spot displacement.1 central injector and 4 corner producers
I & II) Well conversion. single well and well pair conversion
III) Well shut-off
IV & V) Infill drilling. 1 additional injection well, central injector remaining or
turned into a producer
Simulation Studies
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SIMULATION CASESFirst attempts do not account for
• Cross-flow (single layer approach)
• Ion exchange with reservoir clays (rock ion exchange capacity)
• Dispersion effect (assumed as if distance is short between I &P)
Additional simulation work did not modify the mentionedconclusions
Simulation Studies