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Title: Modeling of time-lapse seismic monitoring using CO2 leakage simulations for a model CO2 storage site with realistic geology: Application in assessment of early leak-detection capabilities

Abstract

Time-lapse surface seismic surveys have been widely used at carbon sequestration sites for site characterization, monitoring subsurface CO2 plume migration, and detecting potential CO2 leakage from a storage reservoir. Monitoring in the first permeable unit directly above the primary seal is important for early detection of CO2 leakage. Forward modeling of time-lapse seismic data can be used to assess the utility of the seismic method for CO2 leakage detection. We develop a workflow for forward modeling of time-lapse seismic data, including constructing seismic velocity models using flow simulation outputs, modeling of pre-stack and post-stack synthetic seismic data following seismic data processing sequence and analysis of processed synthetic time-lapse seismic data. We apply the forward modeling and analysis workflow to assessing the detectability and the earliest detection time of seismic monitoring using the hypothetical CO2 leakage scenarios for a model geologic storage site with realistic geology. We then derive the detection thresholds using the simulated normalized root-mean-square (NRMS) differences for the no-leakage case at a range of signal-to-noise ratios, representing the background noise levels in seismic data. We then compare NRMS differences triggered by the CO2 leakage to the detection thresholds at each time step to quantify the detectability and themore » earliest detection time of seismic monitoring. We analyze the effects of the acquisition parameters and elastic parameters on the produced synthetic seismic data and earliest detection time. Our modeling results indicate that high signal-to-noise ratio is needed to detect the CO2 leakage at the model site. Minimizing the background noise in seismic data is crucial for improving the detectability of the seismic method. Increasing the shot density or increasing the dominant frequency of the source wavelet is likely to increase the possibility of the leakage detection and reduce the time needed for the detection. The elastic parameters used in the rock physics modeling have significant effects on the resultant seismic velocity models and synthetic seismic data, highlighting their critical roles in understanding and interpreting time-lapse seismic reflection data associated with CO2monitoring, verification and accounting activities.« less

Authors:
 [1];  [2];  [3]; ORCiD logo [4]
+ Show Author Affiliations
  1. National Energy Technology Lab. (NETL) and Oak Ridge Inst. for Science and Education (ORISE), Pittsburgh, PA, (United States)
  2. National Energy Technology Lab. (NETL) and Oak Ridge Inst. for Science and Education (ORISE), Pittsburgh, PA, (United States); Univ. of Pittsburgh, PA (United States). Dept. of Geology and Environmental Science
  3. National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States)
  4. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States); National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States); Oak Ridge Inst. for Science and Education (ORISE), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1473811
Alternate Identifier(s):
OSTI ID: 1496441
Report Number(s):
LA-UR-18-20332
Journal ID: ISSN 1750-5836
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
International Journal of Greenhouse Gas Control
Additional Journal Information:
Journal Volume: 76; Journal Issue: C; Journal ID: ISSN 1750-5836
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 97 MATHEMATICS AND COMPUTING; Carbon sequestration; Leak detection; Seismic monitoring; Seismic modeling; Rock physics modeling

Citation Formats

Wang, Zan, Harbert, William P., Dilmore, Robert M., and Huang, Lianjie. Modeling of time-lapse seismic monitoring using CO2 leakage simulations for a model CO2 storage site with realistic geology: Application in assessment of early leak-detection capabilities. United States: N. p., 2018. Web. doi:10.1016/j.ijggc.2018.06.011.
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Wang, Zan, Harbert, William P., Dilmore, Robert M., & Huang, Lianjie. Modeling of time-lapse seismic monitoring using CO2 leakage simulations for a model CO2 storage site with realistic geology: Application in assessment of early leak-detection capabilities. United States. https://doi.org/10.1016/j.ijggc.2018.06.011
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Wang, Zan, Harbert, William P., Dilmore, Robert M., and Huang, Lianjie. Thu . "Modeling of time-lapse seismic monitoring using CO2 leakage simulations for a model CO2 storage site with realistic geology: Application in assessment of early leak-detection capabilities". United States. https://doi.org/10.1016/j.ijggc.2018.06.011. https://www.osti.gov/servlets/purl/1473811.
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@article{osti_1473811,
title = {Modeling of time-lapse seismic monitoring using CO2 leakage simulations for a model CO2 storage site with realistic geology: Application in assessment of early leak-detection capabilities},
author = {Wang, Zan and Harbert, William P. and Dilmore, Robert M. and Huang, Lianjie},
abstractNote = {Time-lapse surface seismic surveys have been widely used at carbon sequestration sites for site characterization, monitoring subsurface CO2 plume migration, and detecting potential CO2 leakage from a storage reservoir. Monitoring in the first permeable unit directly above the primary seal is important for early detection of CO2 leakage. Forward modeling of time-lapse seismic data can be used to assess the utility of the seismic method for CO2 leakage detection. We develop a workflow for forward modeling of time-lapse seismic data, including constructing seismic velocity models using flow simulation outputs, modeling of pre-stack and post-stack synthetic seismic data following seismic data processing sequence and analysis of processed synthetic time-lapse seismic data. We apply the forward modeling and analysis workflow to assessing the detectability and the earliest detection time of seismic monitoring using the hypothetical CO2 leakage scenarios for a model geologic storage site with realistic geology. We then derive the detection thresholds using the simulated normalized root-mean-square (NRMS) differences for the no-leakage case at a range of signal-to-noise ratios, representing the background noise levels in seismic data. We then compare NRMS differences triggered by the CO2 leakage to the detection thresholds at each time step to quantify the detectability and the earliest detection time of seismic monitoring. We analyze the effects of the acquisition parameters and elastic parameters on the produced synthetic seismic data and earliest detection time. Our modeling results indicate that high signal-to-noise ratio is needed to detect the CO2 leakage at the model site. Minimizing the background noise in seismic data is crucial for improving the detectability of the seismic method. Increasing the shot density or increasing the dominant frequency of the source wavelet is likely to increase the possibility of the leakage detection and reduce the time needed for the detection. The elastic parameters used in the rock physics modeling have significant effects on the resultant seismic velocity models and synthetic seismic data, highlighting their critical roles in understanding and interpreting time-lapse seismic reflection data associated with CO2monitoring, verification and accounting activities.},
doi = {10.1016/j.ijggc.2018.06.011},
journal = {International Journal of Greenhouse Gas Control},
number = C,
volume = 76,
place = {United States},
year = {Thu Jun 28 00:00:00 EDT 2018},
month = {Thu Jun 28 00:00:00 EDT 2018}
}
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https://doi.org/10.1016/j.ijggc.2018.06.011
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Works referenced in this record:

Seismic properties of pore fluids
journal, November 1992

  • Batzle, Michael; Wang, Zhijing
  • GEOPHYSICS, Vol. 57, Issue 11
  • DOI: 10.1190/1.1443207

General Theory of Three‐Dimensional Consolidation
journal, February 1941

  • Biot, Maurice A.
  • Journal of Applied Physics, Vol. 12, Issue 2
  • DOI: 10.1063/1.1712886

Physics and Seismic Modeling for Monitoring CO2 Storage
journal, January 2006

  • Carcione, José M.; Picotti, Stefano; Gei, Davide
  • Pure and Applied Geophysics, Vol. 163, Issue 1
  • DOI: 10.1007/s00024-005-0002-1

Brine Displacement and Leakage Detection Using Pressure Measurements in Aquifers Overlying CO2 Storage Reservoirs
journal, February 2009

Latest time-lapse seismic data from Sleipner yield new insights into CO2 plume development
journal, February 2009

Continuous active-source seismic monitoring of C O2 injection in a brine aquifer
journal, September 2007

  • Daley, Thomas M.; Solbau, Ray D.; Ajo-Franklin, Jonathan B.
  • GEOPHYSICS, Vol. 72, Issue 5
  • DOI: 10.1190/1.2754716

Field testing of fiber-optic distributed acoustic sensing (DAS) for subsurface seismic monitoring
journal, June 2013

  • Daley, Thomas M.; Freifeld, Barry M.; Ajo-Franklin, Jonathan
  • The Leading Edge, Vol. 32, Issue 6
  • DOI: 10.1190/tle32060699.1

Elasticity of high‐porosity sandstones: Theory for two North Sea data sets
journal, September 1996

Planned seismic imaging using explicit one-way operators
journal, September 2005

  • Ferguson, Robert J.; Margrave, Gary F.
  • GEOPHYSICS, Vol. 70, Issue 5
  • DOI: 10.1190/1.2073885

Progress in monitoring strategies for risk reduction in geologic CO2 storage
journal, August 2016

  • Harbert, William; Daley, Thomas M.; Bromhal, Grant
  • International Journal of Greenhouse Gas Control, Vol. 51
  • DOI: 10.1016/j.ijggc.2016.05.007

A variational approach to the theory of the elastic behaviour of multiphase materials
journal, March 1963

The Elastic Behaviour of a Crystalline Aggregate
journal, May 1952

Geophysical monitoring at the Ketzin pilot site for CO 2 storage: New insights into the plume evolution
journal, January 2015

Early detection of brine and CO2 leakage through abandoned wells using pressure and surface-deformation monitoring data: Concept and demonstration
journal, December 2013

Seismic repeatability, normalized rms, and predictability
journal, July 2002

  • Kragh, Ed; Christie, Phil
  • The Leading Edge, Vol. 21, Issue 7
  • DOI: 10.1190/1.1497316

4D seismic monitoring of CO2 sequestration
journal, February 2010

Assessing the technical risk of a 4-D seismic project
journal, September 1997

  • Lumley, David E.; Behrens, Ronald A.; Wang, Zhijing
  • The Leading Edge, Vol. 16, Issue 9
  • DOI: 10.1190/1.1437784

Conformity assessment of monitoring and simulation of CO 2 storage: A case study from the Ketzin pilot site
journal, November 2015

  • Lüth, Stefan; Ivanova, Alexandra; Kempka, Thomas
  • International Journal of Greenhouse Gas Control, Vol. 42
  • DOI: 10.1016/j.ijggc.2015.08.005

Reservoir monitoring using permanent sources and vertical receiver antennae: The Céré-la-Ronde case study
journal, June 2001

  • Meunier, Julien; Huguet, Frédéric; Meynier, Patrick
  • The Leading Edge, Vol. 20, Issue 6
  • DOI: 10.1190/1.1439008

Elastic properties of clay minerals
journal, June 2008

  • Mondol, Nazmul Haque; Jahren, Jens; Bjørlykke, Knut
  • The Leading Edge, Vol. 27, Issue 6
  • DOI: 10.1190/1.2944161

Modeling changes in pressure due to migration of fluids into the Above Zone Monitoring Interval of a geologic carbon storage site
journal, January 2017

  • Namhata, Argha; Zhang, Liwei; Dilmore, Robert M.
  • International Journal of Greenhouse Gas Control, Vol. 56
  • DOI: 10.1016/j.ijggc.2016.11.012

Critical porosity: A key to relating physical properties to porosity in rocks
journal, March 1998

  • Nur, Amos; Mavko, Gary; Dvorkin, Jack
  • The Leading Edge, Vol. 17, Issue 3
  • DOI: 10.1190/1.1437977

Assessment of 4D seismic repeatability and CO 2 detection limits using a sparse permanent land array at the Aquistore CO 2 storage site
journal, March 2015

  • Roach, Lisa A. N.; White, Donald J.; Roberts, Brian
  • GEOPHYSICS, Vol. 80, Issue 2
  • DOI: 10.1190/geo2014-0201.1

Injectable Contrast Agents for Enhanced Subsurface Mapping and Monitoring
journal, July 2017

Active Source Monitoring of Cross-Well Seismic Travel Time for Stress-Induced Changes
journal, February 2007

  • Silver, P. G.; Daley, T. M.; Niu, F.
  • Bulletin of the Seismological Society of America, Vol. 97, Issue 1B
  • DOI: 10.1785/0120060120

A New Equation of State for Carbon Dioxide Covering the Fluid Region from the Triple‐Point Temperature to 1100 K at Pressures up to 800 MPa
journal, November 1996

  • Span, Roland; Wagner, Wolfgang
  • Journal of Physical and Chemical Reference Data, Vol. 25, Issue 6
  • DOI: 10.1063/1.555991

Elastic properties of dry clay mineral aggregates, suspensions and sandstones
journal, October 2003

Utilizing the onset of time-lapse changes: a robust basis for reservoir monitoring and characterization
journal, January 2014

  • Vasco, D. W.; Daley, Thomas M.; Bakulin, Andrey
  • Geophysical Journal International, Vol. 197, Issue 1
  • DOI: 10.1093/gji/ggt526

An overview of the monitoring program design for the FutureGen 2.0 CO2 storage site
journal, August 2016

  • Vermeul, Vince R.; Amonette, James E.; Strickland, Chris E.
  • International Journal of Greenhouse Gas Control, Vol. 51
  • DOI: 10.1016/j.ijggc.2016.05.023

A Bayesian approach to CO2 leakage detection at saline sequestration sites using pressure measurements
journal, November 2014

Design Support of an Above Cap-rock Early Detection Monitoring System using Simulated Leakage Scenarios at the FutureGen2.0 Site
journal, January 2014

Bayesian hierarchical models for soil CO2 flux and leak detection at geologic sequestration sites
journal, January 2011

  • Yang, Ya-Mei; Small, Mitchell J.; Junker, Brian
  • Environmental Earth Sciences, Vol. 64, Issue 3
  • DOI: 10.1007/s12665-011-0903-5

Coda-wave interferometry analysis of time-lapse VSP data for monitoring geological carbon sequestration
journal, July 2010

  • Zhou, Rongmao; Huang, Lianjie; Rutledge, James T.
  • International Journal of Greenhouse Gas Control, Vol. 4, Issue 4
  • DOI: 10.1016/j.ijggc.2010.01.010
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    Works referencing / citing this record:

    Kimberlina 1.2 Velocity Models and Seismic Data
    dataset, January 2021

    • Harbert, William; Dilmore, Robert; Huang, Lianjie
    • National Energy Technology Laboratory - Energy Data eXchange; NETL
    • DOI: 10.18141/1832899
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