An optimized 2D/3D finite-difference seismic wave propagator using rotated staggered grid for complex elastic anisotropic structures

IF 4.2 2区 地球科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Oumeng Zhang , Douglas R. Schmitt
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引用次数: 0

Abstract

The synergy of computing power and physical simulation has enabled deeper insights into geological processes and properties. In geophysics, seismic anisotropy is one such crucial yet often oversimplified property, where wave propagation velocity varies with direction. To simulate the seismic wave propagation in complex anisotropic media, the rotated staggered grid (RSG) scheme was introduced decades ago. However, publicly available software for this purpose has been scarce. To address this gap, we present a newly implemented wave solver, integrated with the open-source finite-difference package Devito, that supports the simulation of seismic wave propagation in both 2D and 3D complex anisotropic media at variable spatial orders. Our implementation includes strategies to mitigate checkerboard artifacts and optimizations to reduce the number of derivative operations, thereby enhancing performance and efficiency. This wave solver aims to assist the geophysics community in more accurately modeling seismic wave propagation in intricate materials, ultimately improving our understanding of geological processes, physical properties of earth material, and subsurface structures.
基于旋转交错网格的复杂弹性各向异性结构二维/三维有限差分地震波传播器优化
计算能力和物理模拟的协同作用使人们能够更深入地了解地质过程和性质。在地球物理学中,地震各向异性是一种至关重要但往往过于简单的性质,即波的传播速度随方向而变化。为了模拟地震波在复杂各向异性介质中的传播,几十年前就引入了旋转交错网格(RSG)格式。然而,用于此目的的公开可用软件很少。为了解决这个问题,我们提出了一个新实现的波浪求解器,集成了开源的有限差分包Devito,支持在可变空间顺序的二维和三维复杂各向异性介质中地震波传播的模拟。我们的实现包括减轻棋盘构件和优化的策略,以减少衍生操作的数量,从而提高性能和效率。此波解算器旨在帮助地球物理学界更准确地模拟地震波在复杂材料中的传播,最终提高我们对地质过程、地球材料物理性质和地下结构的理解。
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来源期刊
Computers & Geosciences
Computers & Geosciences 地学-地球科学综合
CiteScore
9.30
自引率
6.80%
发文量
164
审稿时长
3.4 months
期刊介绍: Computers & Geosciences publishes high impact, original research at the interface between Computer Sciences and Geosciences. Publications should apply modern computer science paradigms, whether computational or informatics-based, to address problems in the geosciences.
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