使用嵌套四面体网格对受控源电磁数据进行三维平行各向异性反演

IF 2.8 3区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS
Zhengyong Ren, Zhengguang Liu, Jingtian Tang
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引用次数: 0

摘要

摘要 地球物理学家如今面临的挑战是如何快速可靠地解释大量受控源电磁(CSEM)数据集,以绘制现实地质环境中的地下传导结构图。使用四面体网格的理想三维 CSEM 反演算法应能区分正演建模和反演网格之间的不同分辨率要求,具有最佳并行策略,既能充分利用 CSEM 数据集固有的独立性,又能处理大规模地质-电学模型,还能纳入现实地下环境中常见的传导各向异性特征。然而,现有的地质电磁学工具往往无法满足这三个要求。针对这一差距,我们的研究利用非结构化四面体网格的潜力,为 CSEM 数据引入了一种可扩展的并行各向异性反演技术。我们首先应用四面体最长边分割法,从粗反演网格创建细化的密集、异构前向建模网格。这种细化主要集中在发射器和接收器周围区域,与较粗反演网格的拓扑结构无缝集成,实现了精确的电导率映射,并在模型更新过程中保持了电磁响应精度。我们进一步创新了源-网格双级并行策略,利用消息传递接口技术并行处理独立的 CSEM 数据集和大规模地质电气模型。在外部,我们使用有限内存的 Broyden-Fletcher-Goldfarb-Shanno 优化算法,将一个处理器专门用于反演模型更新,并将其他处理器分成若干组,每组与特定的发射源和频率相关联。在每个组的内部,我们采用基于域分解的可扩展稳健迭代求解器,使用辅助空间麦克斯韦预处理器并行快速计算分配给它的源频率集的电磁响应。此外,考虑到现场数据中可能存在电导率各向异性,我们纳入了垂直横向各向同性的情况。我们通过实例验证了我们方法的有效性,包括具有起伏地形的各向同性陆地模型、各向异性海洋模型和真实野外数据案例。合成和现场数据反演的结果表明,我们的方法在效率和实用性方面都有显著进步,特别是在解决现实地质环境中大规模三维 CSEM 数据集反演难题方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D parallel anisotropic inversion of controlled-source electromagnetic data using nested tetrahedral grids
Summary Geophysicists today face the challenge of quickly and reliably interpreting extensive controlled-source electromagnetic (CSEM) datasets to map subsurface conductivity structures within realistic geological environments. An ideal 3D CSEM inversion algorithm using tetrahedral grids should be capable of distinguishing different resolution requirements between forward modeling and inversion grids, have an optimal parallel strategy that fully exploits the inherent independence of CSEM datasets while also possessing the capability to handle large-scale geo-electrical models, and incorporate conductivity anisotropy which should be a common characteristic in realistic subsurface environments. However, existing tools in the geo-electromagnetic community often fall short of these three demands. Addressing this gap, our study introduces a scalable and parallel anisotropic inversion technique for CSEM data, capitalizing on the potential of unstructured tetrahedral grids. We first apply the tetrahedral longest-edge bisection method to create a refined dense, heterogeneous forward modeling grid from a coarse inversion grid. This refinement, focused on areas around transmitters and receivers, is seamlessly integrated within the coarser inversion grid’s topology, enabling precise conductivity mapping and preserving electromagnetic response accuracy during model updates. We further innovate with a source-mesh double-level parallel strategy, utilizing the message passing interface technique for parallel handling of independent CSEM datasets and large-scale geo-electrical models. Externally, we dedicate a processor for inversion model updates employing the Limited-memory Broyden-Fletcher-Goldfarb-Shanno optimization algorithm and divide other processors into groups, each associated with specific transmitting sources and frequencies. Internally, in each group, we employ a domain-decomposition based scalable and robust iterative solvers using the Auxiliary-Space Maxwell preconditioner to parallel quickly calculate the electromagnetic responses from its assigned source-frequency set. Additionally, recognizing the potential for electrical conductivity anisotropy in field data, we incorporate the case of vertical transverse isotropy. We validate the effectiveness of our method through examples, including an isotropic land model with undulating topography, an anisotropic marine model, and a real-field data case. Results from both synthetic and field data inversions underscore our method’s significant advancements in efficiency and practicality, particularly in addressing large-scale 3D CSEM datasets inversion challenges in realistic geological environments.
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来源期刊
Geophysical Journal International
Geophysical Journal International 地学-地球化学与地球物理
CiteScore
5.40
自引率
10.70%
发文量
436
审稿时长
3.3 months
期刊介绍: Geophysical Journal International publishes top quality research papers, express letters, invited review papers and book reviews on all aspects of theoretical, computational, applied and observational geophysics.
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