ISSN 1004-4140
CN 11-3017/P
李静和, 骆东德, 李广聪, 李长伟, 罗天涯. 积分方程法复杂介质可控源电磁勘探快速正反演研究现状及发展方向[J]. CT理论与应用研究, 2017, 26(5): 649-659. DOI: 10.15953/j.1004-4140.2017.26.05.16
引用本文: 李静和, 骆东德, 李广聪, 李长伟, 罗天涯. 积分方程法复杂介质可控源电磁勘探快速正反演研究现状及发展方向[J]. CT理论与应用研究, 2017, 26(5): 649-659. DOI: 10.15953/j.1004-4140.2017.26.05.16
LI Jing-he, LUO Dong-de, LI Guang-cong, LI Zhang-wei, LUO Tian-ya. Integral Equation Based-fast Forward and Inverse Algorithms for Complex Targets in Controlled Source Electromagnetic Exploration[J]. CT Theory and Applications, 2017, 26(5): 649-659. DOI: 10.15953/j.1004-4140.2017.26.05.16
Citation: LI Jing-he, LUO Dong-de, LI Guang-cong, LI Zhang-wei, LUO Tian-ya. Integral Equation Based-fast Forward and Inverse Algorithms for Complex Targets in Controlled Source Electromagnetic Exploration[J]. CT Theory and Applications, 2017, 26(5): 649-659. DOI: 10.15953/j.1004-4140.2017.26.05.16

积分方程法复杂介质可控源电磁勘探快速正反演研究现状及发展方向

Integral Equation Based-fast Forward and Inverse Algorithms for Complex Targets in Controlled Source Electromagnetic Exploration

  • 摘要: 复杂介质可控源电磁勘探数值模拟及反演算法的研究一直是国内外地球物理学者研究的热点。本文对复杂介质可控源电磁勘探快速正反演算法研究进行综述,重点对复杂介质快速正反演算法及应用进行分析,指出高效并行、特殊边界条件或将是其真正实用化的关键,当前仍然是极具挑战的研究方向。着重对未受关注的可控源电磁法复杂介质积分方程法正反演算法及其应用研究,如二维、2.5维快速正反演算法;地面、井筒电磁勘探实例、起伏地形异常场模拟等进行讨论。指出国内积分方程法的研究相对滞后,但应用前景较可观;特别是大尺度隐伏资源勘探领域,高精度、高效电磁勘探正反演需求较迫切。通过体积分方程法快速正反演算例分析,表明该方法可适用于大尺度勘探生产,具有较好实用性。复杂地形模拟,高效正反演算法等是积分方程法实用化的关键。

     

    Abstract: Fast forward and inverse algorithms for complex targets in controlled source electromagnetic exploration (CSEM) is a intense topic in current years. In this paper, the overview of the effective solvers used in complex targets imaging via CSEM is presented. With the analysis of application of modeling and imaging for complex targets via differential methods, it is indicated that the effective parallel computing and the needed boundary conditions are crucial important for the really application of differential methods. The 2D and 2.5D fast imaging algorithms for exploration with terrain based on integral equation (IE) modeling is few considered over the past few years, which is concluded in this paper. The fast algorithms presented in this work will be effectively applied in large scale exploration with high accuracy and resolution via CSEM. The effectiveness of the fast solvers is validated by 2D and 2.5D case studies using integral equation modeling.

     

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