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<p>Joint inversion of multiple geophysical datasets is a powerful approach to reducing the inherent non-uniqueness and uncertainty in subsurface imaging. However, traditional coupling constraints, such as the cross-gradient method, often struggle with the significant resolution disparity between magnetic and magnetotelluric (MT) data, leading to structural blurring or mutual interference. To address these challenges, we propose a novel coupling operator termed the Minimum Physical Property Variation Support Coupling (MPVS). By integrating the dot product of physical property variations with the minimum support functional, the MPVS operator introduces a spatially adaptive penalty mechanism: it imposes a heavy regularization penalty on structurally inconsistent regions while relaxing the constraint in regions exhibiting structural consistency. This synergy allows for the precise modulation of the degree of consistency through the minimum support function. We demonstrate the mechanism of our proposed new coupling strategy through a theoretical test, followed by two two-dimensional synthetic modeling tests that verify its effectiveness and practical applicability under diverse conditions. Numerical results from a dual-block synthetic model demonstrate that the MPVS operator successfully overcomes the inherent limitations of the cross-gradient method. Specifically, it prevents high-resolution MT results from being distorted by the diffuse nature of magnetic inversion, while simultaneously guiding the magnetic susceptibility model toward a more compact and geologically plausible geometry. Furthermore, the coupling strength is controlled by the focusing factor; a larger focusing factor promotes higher structural consistency between the two methods, whereas a smaller factor allows the results to converge toward their respective individual inversions. Finally, synthetic tests on a complex model further validate the robust applicability of the MPVS coupling framework in handling intricate scenarios. This MPVS based joint MT and magnetic inversion framework provides a robust and flexible solution for the integrated interpretation of multi-physics data in complex geological environments.</p> Graphical abstract <p></p>

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Joint inversion of magnetotelluric and magnetic data using minimum physical property variation support coupling

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年8月4日

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  • Zuwei Huang,
  • Takao Koyama,
  • Peng Yu,
  • Chongjin Zhao,
  • Luolei Zhang

摘要

Joint inversion of multiple geophysical datasets is a powerful approach to reducing the inherent non-uniqueness and uncertainty in subsurface imaging. However, traditional coupling constraints, such as the cross-gradient method, often struggle with the significant resolution disparity between magnetic and magnetotelluric (MT) data, leading to structural blurring or mutual interference. To address these challenges, we propose a novel coupling operator termed the Minimum Physical Property Variation Support Coupling (MPVS). By integrating the dot product of physical property variations with the minimum support functional, the MPVS operator introduces a spatially adaptive penalty mechanism: it imposes a heavy regularization penalty on structurally inconsistent regions while relaxing the constraint in regions exhibiting structural consistency. This synergy allows for the precise modulation of the degree of consistency through the minimum support function. We demonstrate the mechanism of our proposed new coupling strategy through a theoretical test, followed by two two-dimensional synthetic modeling tests that verify its effectiveness and practical applicability under diverse conditions. Numerical results from a dual-block synthetic model demonstrate that the MPVS operator successfully overcomes the inherent limitations of the cross-gradient method. Specifically, it prevents high-resolution MT results from being distorted by the diffuse nature of magnetic inversion, while simultaneously guiding the magnetic susceptibility model toward a more compact and geologically plausible geometry. Furthermore, the coupling strength is controlled by the focusing factor; a larger focusing factor promotes higher structural consistency between the two methods, whereas a smaller factor allows the results to converge toward their respective individual inversions. Finally, synthetic tests on a complex model further validate the robust applicability of the MPVS coupling framework in handling intricate scenarios. This MPVS based joint MT and magnetic inversion framework provides a robust and flexible solution for the integrated interpretation of multi-physics data in complex geological environments.

Graphical abstract