SEMI Net: Seismic-Electromagnetic Joint Inversion Network-Reference-Cited by-同舟云学术

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SEMI Net: Seismic-Electromagnetic Joint Inversion Network

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wang Yonghao¹^ORCID,Jia Zhuo¹^ORCID,Lu Wenkai¹^ORCID

Affiliation:

1. Institute for Artificial Intelligence (THUAI), Beijing National Research Center for Information Science and Technology (BNRist), and the Department of Automation, State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China

Funder

Major Research Project on Scientific Instrument Development, China National Natural Science Foundation

National Key Research and Development Program of China

NSFC

Natural Science Basic Research Program of Shaanxi

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10439017.pdf?arnumber=10439017

Reference63 articles.

1. A High-Resolution Nonlinear Inversion Method of Reservoir Parameters and Its Application to Oil/Gas Exploration

2. Tunnel seismic tomography method for geological prediction and its application

3. Recent advances in simulation-optimization groundwater management modeling

4. Joint Inversion of Geophysical Data

5. Model-Based Synthetic Geoelectric Sampling for Magnetotelluric Inversion With Deep Neural Networks

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