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2021•Engineering and Mining Geophysics 2021Requires access

Application of a Cultural Algorithm for 3D Inversion of Magnetotelluric Data

D. Bogdanovich, I. Pesterev, D.M. Shimianskii, A.S. Bashkeev, Kseniya Antaschuk, A. Politcina

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Abstract

Summary A modified cultural algorithm (MCA) implementation for the three-dimensional (3D) magnetotelluric (MT) inverse problem is presented. MCA uses several parameters for belief space forming. Information about number of applicants, number of parents and mutation probability is used to form belief space together with min/max interval for mutation of genes. The COPROD2 data set (Canada) is used as an MT benchmark of real field data.

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Summary A modified cultural algorithm (MCA) implementation for the three-dimensional (3D) magnetotelluric (MT) inverse problem is presented. MCA uses several parameters for belief space forming. Information about number of applicants, number of parents and mutation probability is used to form belief space together with min/max interval for mutation of genes. The COPROD2 data set (Canada) is used as an MT benchmark of real field data.

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Available abstract

Summary A modified cultural algorithm (MCA) implementation for the three-dimensional (3D) magnetotelluric (MT) inverse problem is presented. MCA uses several parameters for belief space forming. Information about number of applicants, number of parents and mutation probability is used to form belief space together with min/max interval for mutation of genes. The COPROD2 data set (Canada) is used as an MT benchmark of real field data.

Key concepts: Magnetotellurics, Benchmark (surveying), Inversion (geology), Data space, Algorithm, Inverse, Computer science, Inverse problem

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