An Intelligent MT Data Inversion Method With Seismic Attribute Enhancement

Author:

Zhou Hongyu1ORCID,Guo Rui1ORCID,Li Maokun1ORCID,Yang Fan1ORCID,Xu Shenheng1ORCID,Chen Maoshan2,Wang Yongtao2,Tao Deqiang2,Hu Zuzhi2,Cui Xianwen3,Wang Qinian3,Zhu Jiangbo3,Huang Suhe3

Affiliation:

1. Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China

2. BGP Inc., CNPC, Zhuozhou, China

3. Geological Exploration Technology Institute of Anhui Province, Hefei, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Shuimu Tsinghua Scholar Program of Tsinghua University

National Key Research and Development Program of China

Beijing Innovation Center for Future Chip, Institute for Precision Medicine, Tsinghua University

Biren Technology

Bureau of Geophysical Prospecting (BGP) Inc.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Reference66 articles.

1. Reduction of the geological noise in magnetotelluric soundings

2. PyTorch: An imperative style, high-performance deep learning library;paszke;Proc Adv Neural Inf Process Syst,2019

3. The so‐called static corrections in magnetotelluric measurements

4. Inversion algorithms for large-scale geophysical electromagnetic measurements

5. Removal of local surface conductivity effects from low frequency mantle response curves;larsen;Acta Geodaetica Geophysica Montanistica Hungarica,1977

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Intelligent MT Data Inversion Method Constrained by Seismic Texture;2023 International Applied Computational Electromagnetics Society Symposium (ACES-China);2023-08-15

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