Progress on joint inversion of electromagnetic constraints combined with multiple methods and multiple information
ZHANG Shuoning1,2,3, YU Guo1,2,3, HE Zhanxiang1,2,3
1. Shenzhen Key Laboratory of Deep Offshore Oil and Gas Exploration Technology, Shenzhen, Guangdong 518055, China; 2. Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology, Shenzhen, Guangdong 518055, China; 3. Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
Abstract：Electromagnetic exploration plays an important role in oil and gas exploration，deep mineral resources survey，geothermal groundwater exploration，imaging of deep earth structures，and underwater military target reconnaissance.This paper systematically summarizes the research progress on joint inversion of electromagnetic constraints combined with multiple methods and information，introduces the research status from the perspective of method application，and focuses on the construction form，existing problems，and technical difficulties of the objective function for different inversion methods.In areas with more known information such as seismic data，different types of constraint functions are constructed by utilizing priori information to improve the tectonic imaging accuracy in saline and igneous rock development areas and reduce the inversion non-uniqueness.In areas where the magnetotelluric （MT） and controlled source electromagnetic （CSEM） data have been collected，the two methods can be employed to carry out joint inversion with their respective advantages.Various forms such as joint inversion with sequential constraints and joint inversion based on a unified objective function are developed.Additionally，CSEM and MT make up for each other in-depth inversion to improve the target inversion accuracy and reduce non-uniqueness.This paper discusses the selection of objective functions and weighting factors for this type of joint inversion.According to actual application effects，the most important and potential joint inversion is the inversion of electromagnetic and seismic data.Joint inversion has gone through from seismic constrained electromagnetic inversion to physical model-based and cross-gradient method-based joint inversion.This paper also analyzes the difficulty in constructing a reasonable connection between velocity and resistivity models and explains that the weighting factor setting of velocity and resistivity models in the objective functions is still the key and difficult points.Finally，this paper proposes to combine electromagnetic joint inversion，artificial intelligence algorithms，and three-dimensional visualization analysis.It also points out that large-scale parallel computation and other new methods and technologies can be adopted in the future，and joint acquisition systems can be developed to provide more effective data volumes for the multi-physical field joint inversion.
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