Design of an Optimal Microseismic Monitoring Network: Synthetic Study for the Kimberlina CO2 Storage Demonstration Site

Wednesday, 17 December 2014
Lianjie Huang1, Ting Chen1, Youzuo Lin1, William Foxall2, Lawrence J Hutchings3, Corinne Elisabeth Bachmann4 and Thomas M Daley4, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)Lawrence Berkeley National Lab, San Rafael, CA, United States, (3)LBNL-Earth Sciences, Berkeley, CA, United States, (4)Lawrence Berkeley National Laboratory, Berkeley, CA, United States
As part of the U.S. DOE initiative, National Risk Assessment Partnership (NRAP) to develop quantitative risk assessment methodologies for carbon capture, utilization and storage (CCUS), we explore the design of an optimal microseismic monitoring network using synthetic earthquake data for the Kimberlina CCUS pilot site in California. The overpressure field calculated by fluid flow modeling within a reservoir confined by two fault zones in the vicinity of the Kimberlina injection well is input to induced earthquake simulations carried out using the code RSQSim (Dieterich and Richards-Dinger, Seismol. Res. Let., 2012). Velocity and attenuation structures developed using geological data for the reservoir overburden and underburden are used for numerical wave propagation modeling to calculate surface ground motion time series produced by the simulated microseismic events. We then invert the time series data using a fat-ray double-difference tomography method to locate the events, and compare the results with the known locations. The tomography method is applied to time series calculated for different surface recording network configurations to study the resulting variations in event locations uncertainties, and to assess an optimal network for cost-effective, long-term monitoring for CCUS.