Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT...
Transcript of Modeling and Monitoring Associated CO2 Storage at the Bell ... · • Incorporates SCAL and PVT...
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© 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
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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
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Regional Carbon Sequestration
Partnerships
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PCOR Partnership
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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
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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.
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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)
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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)
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Phased Development Approach
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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.
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The PCOR PartnershipIntegrated Approach to Program Development
Focused on site characterization, modeling and simulation,
and risk assessment to guide MVA strategy
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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
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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
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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
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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.
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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
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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
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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.
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History Match
• Gas and water production rates
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History Match
• Water injection rate and average reservoir pressure
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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)
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Predictive Simulations – Oil Recovery vs.
Hydrocarbon Pore Volume Injected (HCPVI)
Recoveries are based on the EERC’s analysis and estimates.
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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
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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
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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.
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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)
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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.
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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
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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,
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