EGU21-11690
https://doi.org/10.5194/egusphere-egu21-11690
EGU General Assembly 2021
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

A modified-boundary condition algorithm for efficient 3D forward modeling of CSEM data

Rahul Dehiya
Rahul Dehiya
  • Earth and Climate Science, Indian Institute of Science Education and Research, Pune, India (rahul.dehiya@iiserpune.ac.in)

I present a newly developed 3D forward modeling algorithm for controlled-source electromagnetic data. The algorithm is based on the finite-difference method, where the source term vector is redefined by combining a modified boundary condition vector and source term vector. The forward modeling scheme includes a two-step modeling approach that exploits the smoothness of the electromagnetic field. The first step involves a coarse grid finite-difference modeling and the computation of a modified boundary field vector called radiation boundary field vector. In the second step, a relatively fine grid modeling is performed using radiation boundary conditions. The fine grid discretization does not include stretched grid and air medium. The proposed algorithm derives computational efficiency from a stretch-free discretization, air-free computational domain, and a better initial guess for an iterative solver. The numerical accuracy and efficiency of the algorithm are demonstrated using synthetic experiments. Numerical tests indicate that the developed algorithm is one order faster than the finite-difference modeling algorithm in most of the cases analyzed during the study. The radiation boundary method concept is very general; hence, it can be implemented in other numerical schemes such as finite-element algorithms.

How to cite: Dehiya, R.: A modified-boundary condition algorithm for efficient 3D forward modeling of CSEM data, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-11690, https://doi.org/10.5194/egusphere-egu21-11690, 2021.

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