地球与行星物理论评（中英文）2025，Vol.56Issue(6)：620-640,21.DOI:10.19975/j.dqyxx.2024-058
地球物理电磁联合反演研究进展与展望
Status and prospects of joint inversion of geophysical electromagnetic data
摘要
Abstract
Geophysical electromagnetic data inversion is a typical underdetermined problem.Due to the limit-ations of observational data,individual geophysical methods often suffer from significant non-uniqueness and un-certainty,making it challenging to provide accurate and stable interpretations of subsurface geological structures.To address this issue,joint inversion techniques have emerged as a key research direction in geophysical explora-tion.By integrating the advantages of different geophysical methods,joint inversion enhances the resolution and re-liability of inversion results.In recent years,with the rapid advancement of computational technologies and novel numerical algorithms,various joint inversion approaches have been proposed and widely applied.These primarily include empirical coupling methods based on petrophysical properties,structural coupling methods utilizing spatial correlation constraints,and prior information-constrained methods based on Bayesian theory and fuzzy clustering,and so on.The core concept of these methods is to exploit the complementary information from different geophysi-cal techniques to optimize the joint inversion objective function through petrophysical relationships,spatial gradi-ent constraints,or probabilistic modeling.This reduces solution non-uniqueness and enhances the characterization of subsurface geological structures.Joint inversion techniques have demonstrated significant success in applica-tions such as mineral exploration,energy resource detection,geological mapping,and deep structural studies. Despite their promising potential,joint inversion techniques still face several challenges in practical applica-tions.These challenges include the rational construction of relationships between physical fields,the optimization of regularization strategies,the improvement of computational efficiency,and the handling of complex terrain ef-fects.Future research in joint inversion will focus on the following aspects:(1)leveraging artificial intelligence and data-driven methods to learn nonlinear mappings between petrophysical parameters from large-scale training data-sets,thereby improving inversion speed and accuracy;(2)integrating multi-source data and prior information with-in a probabilistic inversion framework to provide uncertainty quantification and enhance the reliability of inversion results;(3)employing multi-resolution optimization strategies,wherein a coarse-scale inversion captures the over-all structure before progressively refining the model to improve computational efficiency and mitigate local mini-ma issues;and(4)integrating seismic,gravity,magnetic,and electromagnetic data to enhance inversion robustness,while incorporating real-time monitoring data to better capture subsurface dynamic processes. With advancements in high-performance computing,artificial intelligence,and novel geophysical observation technologies,joint inversion methods are expected to play an increasingly crucial role in resource exploration,sub-surface structure detection,and geological hazard monitoring,providing higher-resolution and more accurate sub-surface imaging techniques for Earth science research.关键词
联合反演/电磁探测/多物理场耦合/结构耦合/先验信息Key words
joint inversion/electromagnetic exploration/multi-physics coupling/structural coupling/prior information分类
天文与地球科学引用本文复制引用
韦老闹,李永吉,殷长春,苏扬,刘云鹤..地球物理电磁联合反演研究进展与展望[J].地球与行星物理论评（中英文）,2025,56(6):620-640,21.基金项目
国家自然科学基金资助项目(42474107,42030806,42274093,42174167,42304149) （42474107,42030806,42274093,42174167,42304149）
中国博士后科学基金资助项目(BX20220130,2023M731265) （BX20220130,2023M731265）
广西重点研发计划项目(桂科AB21196028) （桂科AB21196028）
吉林省科技发展计划面上项目(20230101099JC)Supported by the National Natural Science Foundation of China(Grant Nos.42474107,42030806,42274093,42174167,42304149),China Postdoctoral Science Foundation(Grant Nos.BX20220130,2023M731265),Guangxi Key Technologies R&D Program(Grant No.Guike AB21196028),and Jilin Scientific and Technological Development Program(Grant No.20230101099JC) （20230101099JC）
