ph.d. student ben niu supervisor: ass.prof. alexander a. shapiro ass. prof. wei yan

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Phase Identification and Saturation Determination in Carbon Dioxide Flooding of Water Flooded Chalk Using X-ray Computed Tomography Ph.D. Student Ben Niu Supervisor: Ass.Prof. Alexander A. Shapiro Ass. Prof. Wei Yan Prof. Erling H. Stenby

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Phase Identification and Saturation Determination in Carbon Dioxide Flooding of Water Flooded Chalk Using X-ray Computed Tomography. Ph.D. Student Ben Niu Supervisor: Ass.Prof. Alexander A. Shapiro Ass. Prof. Wei Yan Prof. Erling H. Stenby. Content. Introduction Aim of the study - PowerPoint PPT Presentation

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Page 1: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

Phase Identification and Saturation Determination in Carbon Dioxide Flooding of Water Flooded Chalk

Using X-ray Computed Tomography

Ph.D. Student Ben NiuSupervisor: Ass.Prof. Alexander A. Shapiro

Ass. Prof. Wei Yan Prof. Erling H. Stenby

Page 2: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 2

• Introduction• Aim of the study• Experimental facilities• Experimental procedures• Experimental results• Conclusions• Future plan

Content

Page 3: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

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Introduction • CO2 flooding of oil reservoir can potentially enhance oil recovery

significantly. At the same time, 1/3~1/2 injected CO2 could be stored during this process.

• CO2 flooding is characterized by complex phase behavior and geochemical reactions

• CO2 flooding experiments were performed using CT (Computed

Tomography) scanning to determine multiphase in-situ saturations for further understanding the recovery mechanisms.

• This study is a part of the project ‘EOR through CO2 Utilization’ funded by

the Danish National Advanced Technology Foundation and DONG Energy

Page 4: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

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Aim of the Study• Long – term goal: Three phase flooding on chalk reservoir

samples at high P and T by using CT scanning, to obtain information on phase saturation.

• Flooding experiments with CT scanning in the literature– Two immiscible phases (many)– Two miscible phases (some)– Three-phase flooding at irreducible water saturation

(immobile water) at high P and T (several)– Three-phase flooding at high P and T (almost none)

• Short–term objectives: – Investigate if different phases could be identified

simultaneously– Find solutions for identifying the various phases in three

phase flooding

Page 5: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 5

Experimental Facilities CT Scanner

• Fourth generation Siemens SOMATOM scanner

• Three energy levels: 80kV, 120kV, 137kV

• X-ray computer tomography may provide information on density, porosity, mineralogy, hetergeneities, phase saturations……

Page 6: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 6

Experimental Facilities Core Holder

• Aluminium core holder (Max. 100bar) • Carbon fiber core holder (1000bar,150C)

Carbon fiber wrapped coreholder Shematic of experimental setup

Page 7: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

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Experimental Procedures

• Four core flooding experiments were carried out to investigate if different phases could be identified simultaneously.

• Fluids: • Isopar-L, n-decane • Distilled water• CO2

• Dopants needed to increase contrast of CT numbers • Gas and oil phases have similar densities at high pressure

experimental conditions (65bar-100bar); • Oil phase: Iodododecane (C12H25I), Water phase: potassium

iodide (KI), sodium tungstate dihydrate (Na2WO4·2H2O).

• Two energy levels, 80 kV( 250mA·s) and 120 kV (330mA·s) • Reduce the beam-hardening effects;• Protect the machine (the tube life of CT scanner).

Page 8: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 804/21/23 Ben Niu 8

Experimental ProceduresReference scans: dry core, core saturated with each fluid

100% Oil

Water flooding

Gas flooding

Oil at 1-Swi

Gas flooding

Water flooding

Gas flooding

No flooding Oil at 1-Swi

Flooding: inj. rate 0.1 cc/min, scanned at every 2mm

1st Exp. 3rd Exp.2nd Exp. 4th Exp.

Clean and dry the core

Page 9: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 9

1st Experiment Core Materials

Plug sample properties P and T Fluids and dopant

NameLength(mm)

Diameter (mm)

Porosity(%)

kwater

(md)P

(bar)T

(oC)Oil and dopant

(wt %)Water and dopant

(wt%)Gas

Core#1 44.00 25.69 35.50 0.32 65 15Isopar-L

5% IodododecaneDistilled water

7% Na2WO4·2H2OCO2

Core#2 77.02 25.72 40.00 0.13 65 15Isopar-L without

dopant

Distilled water1 % Na2WO4·2H2O

3 % Na2WO4·2H2OCO2

Core#3 37.93 25.82 25.74 0.16 65 15Isopar-L without

dopantDistilled water

5 % KICO2

Core#4 74.82 37.04 26.74 0.23 100 15n-decane,

5% IodododecaneDistilled water

3 % KICO2

• Perfrom CO2 flooding at residual oil saturation with doped water and doped oil.

100% Oil Wat. flooding Gas flooding

Page 10: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 10

1st Experiment Data Analysis

• CT number at different energy levels

Page 11: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 11

1st Experiment Data Analysis

• Sarutations are not corrected, negative saturation is calculated.

Before water

flooding

Water flooding

CO2 flooding

Oil in the core (cc) 7.9 3.1 1.7

Water in the core(cc) 0 4.8 1.4

Oil produced (cc) — 4.8 1.4

Water produced (cc) — — 3.4

Oil recovery 0 55% 18%

Page 12: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 12

1st Experiment Data Analysis

• Dopant is adsorbed at the inlet of the core.

CT and 3-D reconstruction images (120 kV) of a dry core after the experiment

Page 13: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 13

2nd Experiment Core Materials

Plug sample properties P and T Fluids and dopant

NameLength(mm)

Diameter (mm)

Porosity(%)

kwater

(md)P

(bar)T

(oC)Oil and dopant

(wt %)Water and dopant

(wt%)Gas

Core#1 44.00 25.69 35.50 0.32 65 15Isopar-L

5% IodododecaneDistilled water

7% Na2WO4·2H2OCO2

Core#2 77.02 25.72 40.00 0.13 65 15Isopar-L without

dopant

Distilled water1 % Na2WO4·2H2O

3 % Na2WO4·2H2OCO2

Core#3 37.93 25.82 25.74 0.16 65 15Isopar-L without

dopantDistilled water

5 % KICO2

Core#4 74.82 37.04 26.74 0.23 100 15n-decane,

5% IodododecaneDistilled water

3 % KICO2

• Test dopant (C12H25I) with various concentrations

No flooding

Page 14: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 14

2nd Experiment Data Analysis

Fig.7 CT number at different energy levels (Experiment 2)

• Three-phase can be treated as pseudo-two phase flooding.

Page 15: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 15

2nd Experiment Data Analysis

• Adsorption happens even at low concentration of dopant.

Page 16: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 16

3rd Experiment Core Materials

Plug sample properties P and T Fluids and dopant

NameLength(mm)

Diameter (mm)

Porosity(%)

kwater

(md)P

(bar)T

(oC)Oil and dopant

(wt %)Water and dopant

(wt%)Gas

Core#1 44.00 25.69 35.50 0.32 65 15Isopar-L

5% IodododecaneDistilled water

7% Na2WO4·2H2OCO2

Core#2 77.02 25.72 40.00 0.13 65 15Isopar-L without

dopant

Distilled water1 % Na2WO4·2H2O

3 % Na2WO4·2H2OCO2

Core#3 37.93 25.82 25.74 0.16 65 15Isopar-L without

dopantDistilled water

5 % KICO2

Core#4 74.82 37.04 26.74 0.23 100 15n-decane,

5% IodododecaneDistilled water

3 % KICO2

• Determine water saturation under three phases conditions

Oil at 1-Swi Gas flooding

Page 17: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 17

3rd Experiment Data analysis

• CT number at different energy levels

Page 18: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 18

3rd Experiment Data analysis

• Water saturations from mass balnce and CT scanning agree well

Original core At Swi CO2 Flooding

Isopar-Lin the core (cc)

0 4.5 –Water

In the core(cc)5.2 0.7 –

Isopar-L produced (cc) – – –

Water produced (cc) – 4.5 –

Water saturation

1.0 0.13 –Isopar-L

saturation0 0.87 –

Page 19: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 19

Challenges in Data Analysis

• In a homogenous chalk, the CT number of the pixels follows a normal distribution. The mean value and standard deviation obtained from different software are correct (FPImage and Image J).

CT number distribution in the region of interest of the dry core

Page 20: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 20

Challenges in Data Analysis

• Software Challenges:

1. Inhomogeneity of the core

• High density objects in the core, give high CT numbers

• Mean value and standard deviation are affected by the noise

Page 21: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 21

Challenges in Data Analysis2. Maximum CT number CTmax

• The maximum CT number is 3071, and any pixels with a higher value will be set to 3071.

• By using dopant, decent contrast of CT numbers can be obtained at 120kV. But CT numbers at 80kV may exceed the upper limit.

• Can we estimate the correct mean value if some of the CT values are higher than CTmax?

Page 22: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 22

Challenges in Data Analysis• An optimization method (nonlinear Huber estimation) is used to meet the

two challenges, correcting the CT number, thus avoid the influence from inhomogeneity of the core and compensate for overflow of CT values.

Challenge 1

Page 23: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 23

Challenges in Data Analysis• Optimization changes the mean value by 25 for Challenge 1 and 101 for Challenge 2 • ΔCT between oil and water is around 100

Challenge 2

Page 24: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 24

Challenges in Data Analysis

• An example for the corrected data at 80kV (3rd Experiment), in which ImageJ does not work well.

• Saturation calculated based on optimization is better than that from ImageJ. (Results form 120kV as reference)

• When oil and water both are doped, the accuracy of saturation calculation could be enhanced

Page 25: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 25

4th Experiment Core Materials

Plug sample properties P and T Fluids and dopant

NameLength(mm)

Diameter (mm)

Porosity(%)

kwater

(md)P

(bar)T

(oC)Oil and dopant

(wt %)Water and dopant

(wt%)Gas

Core#1 44.00 25.69 35.50 0.32 65 15Isopar-L

5% IodododecaneDistilled water

7% Na2WO4·2H2OCO2

Core#2 77.02 25.72 40.00 0.13 65 15Isopar-L without

dopant

Distilled water1 % Na2WO4·2H2O

3 % Na2WO4·2H2OCO2

Core#3 37.93 25.82 25.74 0.16 65 15Isopar-L without

dopantDistilled water

5 % KICO2

Core#4 74.82 37.04 26.74 0.23 100 15n-decane,

5% IodododecaneDistilled water

3 % KICO2

• Identify three phases saturation with application of optimization method

Wat. flooding Gas floodingOil at 1-Swi

Page 26: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 26

4th Experiment Data analysis

• CT number at different energy levels

Page 27: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 27

4th Experiment Data analysis

• Three phase saturation and mass balance

Swi

conditionWater

floodingGas

flooding

Water in the core

(cc) 6.63 10.81 5.45

Oil in the core(cc) 14.92 10.74 5.08

CO2 in the core (cc) 0.00 0.00 11.02

Oil Recovery – 28% 38%

Page 28: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

04/21/23 Ben Niu 28

4th Experiment Data analysis

• Calculation of three-phase saturatons1

1 11 1

1 1 1 113 3

2 2 2 2

2 2 2 2

1

1

wog wo w

g w g wg

o o w wog w

g w g w

CT CTCT CT

CT CT CT CTS

S CT CT CT CT

CT CT CT CT

A B

Subscripts o oilphase w water phase g gas phase wog three phases 1, 2 energy level 1, 2

• The CT numbers of different phases increase similarly when the energy level changes from 80 to 120 kV, making the coefficient matrix A3 ill-conditioned (the smallest determinant is 0.018) and calculated saturation extremely sensitive to CT numbers (1 unit error in CTo1 leads to a maximum deviation of 0.127 in the calculated So)

• If the entries in the second column of A3 have opposite signs, A3 can be well-conditioned. Possible dopant with Kedge between 120 kV and 80 kV could be the choice (rarely used).

Page 29: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

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Conclusions• Comparison of the dry core images before and after

experiment is important to reveal the problem of dopant adsorption

• High pressure three-phase flooding can be visualized as pseudo two-phase, where the most interesting phase can be identified at a single energy level.

• CT numbers in a homogeneous chalk sample follow normal distribution at 80 kV and 120 kV. The nonlinear Huber estimation is a useful tool to correct the average CT number at 80 kV.

• The major reason for the failure in simultaneous determination of the three-phase saturations is the is ill-conditioned saturation equation.

Page 30: Ph.D. Student Ben Niu Supervisor: Ass.Prof.  Alexander A. Shapiro Ass. Prof.  Wei Yan

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Future Plans

• The concept of ‘Pseudo two-phase’ flooding will be applied in the future experiments with the Danish chalk cores.

• More dopants, with suitable properties, will be tested under the two scanning energies.