double-difference tomography for sequestration mva de ... · surface spiral circular random...
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Double-Difference Tomography for Sequestration MVA DE-FE0002108
Erik Westman
Mining and Minerals Engineering Department
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Benefit to the Program
• Program goals being addressed: • Funding Opportunity Announcement states that monitoring, verification, and
accounting (MVA) “will require significant research and resources to
develop better technologies and protocols to verify and account for the
volume of CO2 injected into deep geologic formations.”
• Project benefits statement: • Successful completion of this project will have two primary impacts. First,
double-difference tomography will be developed as a tool for imaging
changing conditions underground. This is central to the need for MVA
associated with sequestration efforts. The second impact, which is no less
important, is the development of a new generation of engineers and
scientists who are trained with this ability.
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Project Overview:
Goals and Objectives
• Establish data collection and processing requirements so that
double-difference seismic tomography can be used to
quantitatively map the mass and propagation of sequestered
CO2 as a function of time.
• Analyze a dataset from field monitoring of microseismic activity
using double-difference tomography.
• Develop a graduate course to enable students to apply the best,
most recent methods for using geophysical tools to image
sequestration.
• Train two graduate students as they complete the MS degree.
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Monitoring, Verification and Accounting
Where does the CO2 go after injection?
Does it stay in the reservoir?
Sequestration MVA
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Tomography 101
• Analysis of energy transmitted from one
boundary to another allows imaging of body
(Radon, 1917)
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For best results:
• 360 degrees of coverage
• ‘many’ source and receiver locations
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Passive Seismic Tomography
• Use events recorded by microseismic system
to develop images of rock mass
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200 m
July 26 Aug 1 Aug 6
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Application to Carbon Sequestration
• Quantitative MVA
• Quantitative Risk Assessment
• Analyze data from Aneth injection site
• Determine optimal sensor array
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Aneth – Reservoir Information
• Aneth oil field, discovered in 1956
• Limestone
• Permeability: 3-30 mD
• Porosity: 10.2%
• Water saturation: 24%
• The caprock is the low permeability Gothic shale, ranging from 5 to 27 feet in thickness
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Aneth – Reservoir Extents
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Aneth – Event Locations
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Time Periods Examined
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Time Period Start Date End Date Number of Events
1 4/25/2008 8/31/2008 126
2 9/1/2008 10/31/2008 323
3 11/1/2008 12/31/2008 510
4 1/1/2009 3/16/2009 207
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Results
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• Time 3 - Time 1
results displayed
with two sets of
varying confidence
– Top 25% nonzero
DWS values (top)
– Top 50% nonzero
DWS values
(bottom)
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Results
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• Time 4 - Time 1
results displayed
with two sets of
varying confidence
– Top 25% nonzero
DWS values (top)
– Top 50% nonzero
DWS values
(bottom)
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The Cost of Accuracy
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Synthetic Data Real Analysis
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5 Plume Sizes x 5 Event Regions x 5 Geophone Arrays
= 125 Data Sets
tomoDD inputs:
Event locations
Geophone locations
Travel times
Assumed velocity model
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Simulated Plumes
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Five velocity models
(five stages of plume growth)
100 m, 250 m, 500 m, 750 m, 1000 m
Assumption:
CO2 saturation results in a velocity decrease of 10%
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Event Locations
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Geophone Arrays
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Surface
Circle
Spiral
Random
Cylindrical
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Average Percent Difference
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For nodes with very good raypath coverage (top 25%)
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Cost of Accuracy
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Assumes drilling cost of $1,250 per meter
Surface Circular Spiral
Random
Cylindrical
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Accomplishments to Date
• Establish data collection and processing requirements so that
double-difference seismic tomography can be used to
quantitatively map the mass and propagation of sequestered CO2
as a function of time.
• A dataset from field monitoring of microseismic activity will be
analyzed using double-difference tomography.
• A graduate course will be developed to enable students to apply
the best, most recent methods for using geophysical tools to image
sequestration.
• Train two graduate students as they complete the MS degree.
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Conclusions
• Project completed successfully
• Double-difference passive seismic tomography can
potentially be very useful for sequestration MVA
• Acceptable event and receiver locations are critical
for obtaining meaningful results
• Analysis of synthetic data provides an inexpensive
means of testing proposed MVA applications.
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Appendix
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Organization Chart
• Erik Westman, PI
• Associate Professor
• Mining and Minerals Engineering
• Virginia Tech
• Benjamin Fahrman and Brent Slaker
• Graduate Research Associates
• Mining and Minerals Engineering
• Virginia Tech
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Gantt Chart
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Bibliography • Journal, multiple authors:
• Fahrman, B.P., E.C. Westman, K. Luxbacher, and M. Karfakis, “Optimization of
Geophone Array for Monitoring Geologic Carbon Sequestration using Double-
Difference Tomography,” to Computers and Geosciences, submitted Aug, 2012
• Slaker, B. A., E.C. Westman, K. Luxbacher, and N. Ripepi, “Application of Double-
Difference Seismic Tomography to Carbon Sequestration Monitoring at the Aneth Oil
Field, Utah,” to Journal of Applied Geophysics, submitted July, 2012.
• Publication:
• Fahrman, B.P., B.A. Slaker, and E.C. Westman, 2012, “Passive Seismic Imaging for
Carbon Sequestration Monitoring, Verification, and Accounting,” 46th US Rock
Mechanics / Geomechanics Symposium, held in Chicago, IL, USA, June 24-27, 10
pp.
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Lab Experiment
• ‘Stress’ vs. seismic velocity
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Source
Receiver
Field conditions
Resulting
tomogram
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Background
• Traditional vs. Double-Difference Tomography
Resid = ttobs- ttmodel
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Background
• Traditional vs. Double-Difference Tomography
Resid = ttobs- ttmodel
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Background
• Traditional vs. Double-Difference Tomography
Resid = ttobs- ttmodel
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Background
• Traditional vs. Double-Difference Tomography
Resid = ttobs- ttmodel Resid =
(ttobs,A- ttmodel,A) - (ttobs,B- ttmodel,B)
A B
Ref: Zhang and Thurber, 2003