In this paper, we have developed a novel approach to three-dimensional inversion and interpretation of multimodal geophysical data, which incorporates known geological/geophysical constraints. In a general case, the geophysical inverse problem is ill posed, i.e., it is non-unique and unstable. However, appropriate a priori information can help reduce the non-uniqueness and increase the stability of the ill-posed problem. The developed approach uses the principles of inversion "guided" by known information. In the framework of this approach, the 3D inversion itself is data driven, but a priori geological/geophysical model is used as the initial and reference model during the iterative inversion process. We have applied the developed method to the integrated interpretation of magnetotelluric, gravity, and magnetic acquired in Yamagawa geothermal field of Japan, using constraints based on seismic and well-log data acquired in the same area. The results have demonstrated that the developed method produces reliable 3D models of different physical properties, which provides a solid basis for geological interpretation of the complex subsurface structures in the survey area, critical for geothermal exploration.

Presentation Date: Wednesday, October 17, 2018

Start Time: 8:30:00 AM

Location: 213A (Anaheim Convention Center)

Presentation Type: Oral

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