A Risk-Based Adaptive Monitoring Planning Tool Based on Elastic-Wave Sensitivities for Cost-Effective Seismic Monitoring for Geologic Carbon Storage
Description:
Geologic carbon storage (GCS) is a viable approach to reducing CO2 emissions into the atmosphere. The risk of CO2 leakage from GCS operations is of concern to regulators, operators, and the public. Monitoring is indispensable for a GCS project to detect CO2 leakage and account for CO2 mass in storage formations. The US DOE sponsors the National Risk Assessment Partnership (NRAP) project to develop a risk-based adaptive monitoring planning (RAMP) tool for the selection, evaluation, and optimization of monitoring technologies. RAMP will be useful to support the deployment of large-scale GCS projects. This presentation focuses on optimal 2D surface seismic monitoring design through elastic-wave sensitivity analysis for detecting and imaging CO2 plumes. We simulate a hypothetical GCS scenario at the Kimberlina site in Southern San Joaquin Valley, California, and generate 2D elastic-wave sensitivity data with respect to seismic velocity models at six timesteps (80, 85, 90, 95, 100, and 125 years) after the start of CO2 injection with a focus on the post injection phase. We develop a 2D seismic survey design tool using simulated elastic-wave sensitivity data. An optimal monitoring design provides seismic source and receiver locations with high sensitivities to the target monitoring region(s). This source-receiver configuration varies with time for either detection or imaging and is adaptive with time according to CO2 migration and/or leakage. For cost-effective monitoring, the RAMP tool provides the minimum number of sources and receivers required to meet the monitoring objectives.
Acknowledgments
This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344, by Lawrence Berkeley National Laboratory under Contract DE-AC02-05CH1123, by Los Alamos National Laboratory under Contract 89233218CNA000001, and work at National Energy Technology Laboratory was performed under Field Work Proposal No. 1025009. This manuscript was reviewed and released LLNL-ABS 859038.
Session: Seismic Monitoring, Modelling and Management Needed for Geothermal Energy and Geologic Carbon Storage [Poster Session]
Type: Poster
Date: 5/2/2024
Presentation Time: 08:00 AM (local time)
Presenting Author: Yuan
Student Presenter: No
Invited Presentation:
Authors
Yuan Tian Presenting Author Corresponding Author tian7@llnl.gov Lawrence Livermore National Laboratory |
Xianjin Yang yang25@llnl.gov Lawrence Livermore National Laboratory |
Lianjie Huang ljh@lanl.gov Los Alamos National Laboratory |
Kai Gao kaigao@lanl.gov Los Alamos National Laboratory |
Veronika Vasylkivska Veronika.Vasylkivska@netl.doe.gov National Energy Technology Laboratory |
Erika Gasperikova egasperikova@lbl.gov Lawrence Berkeley National Laboratory |
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A Risk-Based Adaptive Monitoring Planning Tool Based on Elastic-Wave Sensitivities for Cost-Effective Seismic Monitoring for Geologic Carbon Storage
Session
Seismic Monitoring, Modelling and Management Needed for Geothermal Energy and Geologic Carbon Storage