Numerical Modeling of Anisotropic Elastic-Wave Sensitivity Propagation for Optimal Design of Time-Lapse Seismic Surveys
作者机构:Los Alamos National LaboratoryGeophysics GroupMS D452Los AlamosNM 87545USA
出 版 物:《Communications in Computational Physics》 (计算物理通讯(英文))
年 卷 期:2020年第28卷第6期
页 面:442-458页
核心收录:
学科分类:070801[理学-固体地球物理学] 07[理学] 0708[理学-地球物理学] 0704[理学-天文学] 0702[理学-物理学]
基 金:DOE NNSA U.S. Department of Energy, USDOE Hess Corporation National Nuclear Security Administration, NNSA, (89233218CNA000001) Los Alamos National Laboratory, LANL
主 题:Anisotropy elastic-wave sensitivity time-lapse seismic monitoring
摘 要:Reliable subsurface time-lapse seismic monitoring is crucial for many geo-physical applications,such as enhanced geothermal system characterization,geologic carbon utilization and storage,and conventional and unconventional oil/gas reservoir characterization,*** develop an elastic-wave sensitivity propagation method for optimal design of cost-effective time-lapse seismic surveys considering the fact that most of subsurface geologic layers and fractured reservoirs are anisotropic instead of *** anisotropic media,we define monitoring criteria using qP-and qS-wave sensitivity energies after decomposing qP-and qS-wave components from the total elastic-wave sensitivity wavefield using a hybrid time-and frequency-domain *** should therefore be placed at locations with significant qP-and qS-wave sensitivity energies for cost-effective time-lapse seismic monitoring in an anisotropic geology *** numerical modeling results for a modified anisotropic Hess model demonstrate that,compared with the isotropic case,subsurface anisotropy changes the spatial distributions of elastic-wave sensitivity ***,it is necessary to consider subsurface anisotropies when designing the spatial distri-bution of geophones for cost-effective time-lapse seismic *** finding suggests that it is essential to use our new anisotropic elastic-wave sensitivity modeling method for optimal design of time-lapse seismic surveys to reliably monitor the changes in subsurface reservoirs,fracture zones or target monitoring regions.