首页|Wave propagation across fluid-solid interfaces with LBM-LSM coupling schemes

Wave propagation across fluid-solid interfaces with LBM-LSM coupling schemes

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Seismic wave propagation in fluid-solid coupled media is currently a popular topic.However,traditional wave equation-based simulation methods have to consider complex boundary conditions at the fluid-solid interface.To address this challenge,we propose a novel numerical scheme that integrates the lattice Boltzmann method(LBM)and lattice spring model(LSM).In this scheme,LBM simulates vis-coacoustic wave propagation in the fluid area and LSM simulates elastic wave propagation in the solid area.We also introduce three different LBM-LSM coupling strategies,a standard bounce back scheme,a specular reflection scheme,and a hybrid scheme,to describe wave propagation across fluid-solid boundaries.To demonstrate the accuracy of these LBM-LSM coupling schemes,we simulate wave propagation in a two-layer model containing a fluid-solid interface.We place excitation sources in the fluid layer and the solid layer respectively,to observe the wave phenomena when seismic waves propagate to interface from different sides.The simulated results by LBM-LSM are compared with the reference wavefields obtained by the finite difference method(FDM)and the analytical solution(ANA).Our LBM-LSM coupling scheme was verified effective,as the relative errors between the LBM-LSM so-lutions and reference solutions were within an acceptable range,sometimes around 1.00％.The coupled LBM-LSM scheme is further used to model seismic wavefields across a more realistic rugged seabed,which reveals the potential applications of the coupled LBM-LSM scheme in marine seismic imaging techniques,such as reverse-time migration and full-waveform inversion.The method also has potential applications in simulating wave propagation in complex two-and multi-phase media.

Lattice Boltzmann method(LBM)Lattice spring model(LSM)LBM-LSM couplingFinite difference method(FDM)Fluid-solid configurationSeismic wave simulation

Mu-Ming Xia、Hui Zhou、Chun-Tao Jiang、Han-Ming Chen、Jin-Ming Cui、Can-Yun Wang、Chang-Chun Yang

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CAS Engineering Laboratory for Deep Resources Equipment and Technology,Institute of Geology and Geophysics,and Innovation Academy for Earth Science,Chinese Academy of Sciences,Chaoyang,Beijing,100029,China

State Key Laboratory of Petroleum Resources and Engineering,CNPC Key Lab of Geophysical Exploration,China University of Petroleum(Beijing),Changping,Beijing,102249,China

Qingdao Institute of Marine Geology,China Geological Survey,Qingdao 266237,Shandong,China

AI Sonic Technology Research Center,Research Institute of Tsinghua University in Shenzhen,Shenzhen,518057,Guangdong,China

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2024

10.1016/j.petsci.2024.05.010

石油科学(英文版)
中国石油大学（北京）

石油科学(英文版)

EI
影响因子：0.88
ISSN：1672-5107
年,卷(期)：2024.21(5)