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© 2014 University of North Dakota Energy & Environmental Research Center. Modeling and Monitoring Associated CO 2 Storage at the Bell Creek Field Joint IEAGHG Modelling and Monitoring Network Meeting August 6, 2014 Charles D. Gorecki, John A. Hamling, Hui Pu, Jason R. Braunberger, Panqing Gao, Guoxiang Liu, Edward N. Steadman, and John A. Harju

Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

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Page 1: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

© 2014 University of North Dakota Energy & Environmental Research Center.

Modeling and Monitoring Associated CO2

Storage at the Bell Creek Field

Joint IEAGHG Modelling and Monitoring Network Meeting

August 6, 2014

Charles D. Gorecki, John A. Hamling, Hui Pu, Jason R. Braunberger,

Panqing Gao, Guoxiang Liu, Edward N. Steadman, and John A. Harju

Page 2: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Presentation Outline

• Overview of Plains CO2

Reduction (PCOR)

Partnership Program

• Overview of Bell Creek

project

• PVT (pressure, volume,

temperature) modeling

• History matching

• Predictions

• Value of simulation

Page 3: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Regional Carbon Sequestration

Partnerships

Page 4: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

PCOR Partnership

Page 5: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Project Overview:

Project Components

• Bell Creek project

• Fort Nelson project

• Aquistore project

• Zama project

• Basal Cambrian project

• Regional characterization

• Public outreach

• Regulatory involvement

• Water Working Group

Page 6: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Bell Creek Project Overview

• The Bell Creek oil field is

operated by Denbury Onshore,

LLC (Denbury) which is

conducting a commercial

enhanced oil recovery (EOR)

project.

• CO2 is sourced from

ConocoPhillips’ Lost Cabin

natural gas-processing plant

and Exxon’s Shute Creek gas-

processing plant.

• The EERC is studying the

interrelationship between EOR

and associated CO2 storage at a

commercial-scale project.

Page 7: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Bell Creek History• Discovered in 1967 (21,771 acres)

• Peak production 56,000 barrels of oil per

day (August 1968)

• Stock tank original oil in place (STOOIP)

353 million barrels of oil (MMbo)

• Cumulative production 133 MMbo (~38%

recovery)

Page 8: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

CO2 Injection Is Ongoing!!!

• Pipeline completed November 2012

• Pipeline filled February/March 2013

• First injection May 2013

• Facilities commissioned August 2013

• 997,392 tonnes injected through June 2014 (1,098,369 U.S. short tons)(source: Montana Board of Oil and Gas Database)

Page 9: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Phased Development Approach

Page 10: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Operation Plan

Denbury’s Field Operations

• CO2 EOR in a five-spot

pattern.

• Operate the field in a phased

approach.

• 26 injectors and 26 producers

in the Phase 1 area.

• Production with no artificial lift.

• Reservoir pressure between

2200 and 2800 psi.

• Produced gas will be recycled.

Page 11: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

The PCOR PartnershipIntegrated Approach to Program Development

Focused on site characterization, modeling and simulation,

and risk assessment to guide MVA strategy

Page 12: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Completed Site Characterization

Activities

• Well file integration

• Lidar (light detection and ranging) collection

• Outcrop investigations

• Drilling characterization wells

• New core collection and analysis

• SCAL (special core analysis) and PVT

testing

• Existing core analysis

• 40-mi2 3-D seismic survey

• Baseline 3-D vertical seismic profiles

(VSPs)

• Pulsed-neutron logs (PNLs)

Close-Up View

Page 13: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Modeling and Simulation Efforts

• 200-mi2 domain models

– Surface through Madison

Formation

– Mowry Formation through

Skull Creek Formation

– 3-D Mechanical Earth Model

(MEM)

• 7.75-mi2 multiphase flow

numerical simulation models

• PVT and equation-of-state

modeling

• 1-D MEM

• Shallow subsurface geochemical

modeling

13

Page 14: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Detailed Geologic Model

14

• Includes updated PETRA database

– Lidar-corrected well locations and elevations

– QA/QC of well logs from 748 wells

– Core data from 25 wells

• 200 mi2 (100 million cells in static model)

• Populated with lithofacies, porosity, permeability, and water and oil saturation

Page 15: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Numerical Simulation Model

Characteristics

• 520,926-cell model clipped from regional model (7.75 mi2).

• Coastal Plain and Bell Creek reservoir zones are included.

• Incorporates 75 production wells and 35 converted injection wells.

• Incorporates SCAL and PVT data.

Applications

• Used to determine breakthrough times at wells, optimal times for repeat monitoring, verification, and accounting (MVA) techniques.

• Used to predict storage capacity, sweep efficiency, recovery factor, and utilization factor.

Page 16: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

PVT Modeling

Equation of State (EOS) and Slim-

Tube Simulations

• Seven-component EOS.

• EOS was initially tuned to original oil

and GOR.

• Slim-tube simulation had excellent

agreement.

• Numerically flashed EOS resulted in

MMP ranging from 1200 to 1800 psi.

0.0 10.0 20.0 30.0

N2

C1

C3

n-C4

n-C5

C7

C9

C11

C13

C15

C17

C19

C21

C23

C25

C27

C29

C31

C33

C35

Two Oil Samples (lab-recombined fully saturated oils)

2012 Sample

2009 Sample

Page 17: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

The International Center for Applied Energy Technology®

• EERC Simulated MMP vs. pressure depletion

0

500

1000

1500

2000

2500

3000

3500

050100150200250300

MM

P, p

sia

GOR, scf/b

MMP from Regression_1

MMP from Regression_2

MMP from CoreLab

Current

GOR

Original

GOR

Effect of Variable GOR on MMP

Page 18: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

History Match

• Historical production, injection, and

water cut rates were matched.

• Used total liquid rate as a control for

history match.

• A good match also achieved for

pressure; however, little historical

pressure data were available.

Page 19: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

History Match

• Gas and water production rates

Page 20: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

History Match

• Water injection rate and average reservoir pressure

Page 21: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Predictive Simulations

• Case 1: water alternating gas (WAG) 3-month cycle

(2500, 2300 psi)

• Case 2: WAG 3-month cycle (2800, 2300 psi)

• Case 3: WAG 2-month cycle (2500, 2300 psi)

• Case 4: WAG 2-month cycle (2800, 2300 psi)

• Case 5: continuous CO2 injection (2500, 2300 psi)

• Case 6: continuous CO2 injection (2800, 2300 psi)

Page 22: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Predictive Simulations – Oil Recovery vs.

Hydrocarbon Pore Volume Injected (HCPVI)

Recoveries are based on the EERC’s analysis and estimates.

Page 23: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Predictive Simulation – CO2 Utilization

FactorsCase No. HCPVI Gross CO2 Utilization Factor, MMscf/bbl Net CO2 Utilization Factor, MMscf/bbl

1

1.0 23.31 18.72

2.0 17.97 10.33

3.0 18.42 7.84

2

1.0 15.60 8.85

2.0 16.02 5.30

3.0 18.72 4.27

3

1.0 22.96 18.42

2.0 17.38 10.17

3.0 17.69 7.62

4

1.0 15.22 8.77

2.0 15.68 5.31

3.0 18.24 4.18

5

1.0 29.93 14.49

2.0 39.75 10.72

3.0 49.71 9.75

6

1.0 33.06 11.72

2.0 44.92 9.72

3.0 56.04 8.39

Page 24: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Case 2 – WAG Predictions

Prediction Observations

• First breakthrough at production wells expected after 3 months of production and 5 months at the monitoring well.

• By September 30, 2017, approximately 4 million tons of CO2 will be injected in Phase 1, with approximately 1.5 million tons stored.

• Results used in risk assessment and MVA planning.

Recycled CO2

Case 2 Simulation Results (10 years)

Stored CO2

Page 25: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Predictive Simulation Summary

• Predicted MMPs had good

agreement with lab results.

• MMP showed a strong

relationship to GOR.

• WAG scenarios at 2800 psi and 3

pore volumes injected (recycle +

purchase) appear to give the best

recovery results.

• CO2 breakthrough for these

cases with different operating

injection pressure was predicted

to be approximately 3–6 months.

Page 26: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Field Observations and Initial

Monitoring Results• CO2 breakthrough in the

field occurred after

about 3–4 months.

• Injected and retained

(stored) CO2 roughly

matches predictions

after 1 year of injection.

• Work is under way to

evaluate how well

observed CO2

saturations from PNL

repeats match-predicted

saturations at both

injectors and producers.

Increase

Decrease

Saturation Indicator

Reported injection data from MBOG (May 2013-June 2014)

Page 27: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Value of Simulation

• Identify characterization needs.

• Identify potential technical risks.

• Determine timing and type of

repeat monitoring.

• Evaluate different injection

scenarios.

• Predict associated CO2 storage.

• Coupled with monitoring, stored

mass could be verified.

• Plus many more from an EOR

perspective.

Page 28: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

Contact Information

Energy & Environmental Research Center

University of North Dakota

15 North 23rd Street, Stop 9018

Grand Forks, ND 58202-9018

World Wide Web: www.undeerc.org

Telephone No. (701) 777-5355

Fax No. (701) 777-5181

Charles Gorecki, Senior Research Manager

[email protected]

Page 29: Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT data. Applications • Used to determine breakthrough times at wells, optimal times

AcknowledgmentThis material is based upon work supported by the U.S. Department of Energy

National Energy Technology Laboratory under Award No. DE-FC-26-05NT42592.

.

DisclaimerThis presentation was prepared as an account of work sponsored by an agency of the

United States Government. Neither the United States Government, nor any agency

thereof, nor any of their employees, makes any warranty, express or implied, or assumes

any legal liability or responsibility for the accuracy, completeness, or usefulness of any

information, apparatus, product, or process disclosed or represents that its use would not

infringe privately owned rights. Reference herein to any specific commercial product,

process, or service by trade name, trademark, manufacturer, or otherwise does not

necessarily constitute or imply its endorsement, recommendation, or favoring by the

United States Government or any agency thereof. The views and opinions of authors

expressed herein do not necessarily state or reflect those of the United States

Government or any agency thereof.