Two-Dimensional Magnetotelluric Parallel-Constrained-Inversion Using Artificial-Fish-Swarm Algorithm

Hu，Zuzhi1; Shi，Yanling1; Liu，Xuejun1; He，Zhanxiang2,3; Xu，Ligui1; Mi，Xiaoli1; Liu，Juan1

2023-02-01

10.3390/magnetochemistry9020034

Magnetochemistry   Impact Factor & Quartile

2312-7481

An important way to improve the resolution of electromagnetic exploration is by using known seismic and logging data. Based on previous work, 2D magnetotelluric (MT) parallel-constrained-inversion, based on an artificial-fish-swarm algorithm is further developed. The finite-difference (FD) method with paralleling frequency is used for 2D MT-forward-modeling, to improve computational efficiency. The results of the FD and finite-element (FE) methods show that the accuracy of FD is comparable to FE in the case of suitable mesh-generation; however, the calculation speed is ten times faster than that of the FE. The artificial-fish-swarm algorithm is introduced and applied to parallel-constrained-inversion of 2D MT data. The results of the synthetic-model test show that the artificial-fish-swarm-inversion based on paralleling forward can recover the model well and effectively improve the inversion speed. The processing and interpretation results of the field data are verified by drilling, which shows that the proposed inversion-method has good practicability.

artificial fish swarm finite-difference method magnetotelluric parallel-constrained-inversion

SCI

English

Corresponding

Science and Technology Planning Project of Shenzhen Municipality[KQTD 20170810111725321];National Natural Science Foundation of China[No. 41874085];

WOS:000940909900001

2-s2.0-85148643443

Scopus

1.BGP Inc,CNPC,Zhuozhou,072751,China
2.Guangdong Provincial Key Laboratory of Geophysical High-Resolution Imaging Technology,SUSTech,Shenzhen,518055,China
3.Department of Earth and Space Science,SUSTech,Shenzhen,518055,China

Hu，Zuzhi,Shi，Yanling,Liu，Xuejun,et al. Two-Dimensional Magnetotelluric Parallel-Constrained-Inversion Using Artificial-Fish-Swarm Algorithm[J]. Magnetochemistry,2023,9(2).

Hu，Zuzhi.,Shi，Yanling.,Liu，Xuejun.,He，Zhanxiang.,Xu，Ligui.,...&Liu，Juan.(2023).Two-Dimensional Magnetotelluric Parallel-Constrained-Inversion Using Artificial-Fish-Swarm Algorithm.Magnetochemistry,9(2).

Hu，Zuzhi,et al."Two-Dimensional Magnetotelluric Parallel-Constrained-Inversion Using Artificial-Fish-Swarm Algorithm".Magnetochemistry 9.2(2023).