Nonlinear constrained joint inversion of MT and gravity data
HU Zuzhi1, SHI Yanling1, LIU Yun-xiang1, LIU Xuejun1, SUN Weibin1, HE Zhan-xiang2,3
1. GME&Geochemical Surveys of BGP, CNPC, Zhuozhou, Hebei 072751, China; 2. Academy for Advanced Interdisciplinary Stu-dies, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China; 3. Department of Earth and Space Sciences, Sou-thern University of Science and Technology, Shen-zhen, Guangdong 518055, China
Abstract:It's an important way to improve the resolution of the gravity,magnetic and electromagnetic exploration to apply the constrained and joint inversion of electromagnetic and gravity data using the known seismic,geological and logging data.The joint inversion in this study is mainly based on the relationship between resistivity and density by logging data statistics.Nonlinear artificial fish swarm inversion algorithm and parallel design were used,combined with the constraints of priori information such as logging data,seismic and geological interpretation sections,to realize the parallel joint inversion of magnetotelluric(MT) and gravity data,and the resolution of MT and gravity data was improved.The inversion results of model and field data demonstrated the feasibility of the proposed nonlinear constrained joint inversion.
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HU Zuzhi, SHI Yanling, LIU Yun-xiang, LIU Xuejun, SUN Weibin, HE Zhan-xiang. Nonlinear constrained joint inversion of MT and gravity data. Oil Geophysical Prospecting, 2020, 55(1): 226-232.
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