Simultaneous Physics and Model-Guided Seismic Inversion Based on Deep Learning-Reference-Cited by-同舟云学术

Simultaneous Physics and Model-Guided Seismic Inversion Based on Deep Learning

Published:2024 Issue: Volume:62 Page:1-11
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Jian¹^ORCID,Sun Hui²^ORCID,Zhang Gan³,Huang Xingguo⁴^ORCID,Han Li⁴^ORCID

Affiliation:

1. Faculty of Geosciences and Engineering and Sichuan Province Engineering Technology Research Center of Ecological Mitigation of Geohazards in Tibet Plateau Transportation Corridors, Southwest Jiaotong University, Chengdu, China

2. Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, China

3. Sichuan Water Development Investigation, Design and Research Company Ltd., Chengdu, China

4. College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China

Funder

National Natural Science Foundation of China

National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum, Beijing

Natural Science Foundation of Sichuan Province

National Key Research and Development Program of China

Research on Fine Exploration and Surrounding Rock Classification Technology for Deep Buried Long Tunnels Driven by Horizontal Directional Drilling and Magnetotelluric Methods Based on Deep Learning

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10637444.pdf?arnumber=10637444

Reference34 articles.

1. Intelligent seismic inversion workflow for high-resolution reservoir characterization

2. Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples

3. Robust AVO inversion for the fluid factor and shear modulus

4. Fluid Discrimination Based on Inclusion-Based Method for Tight Sandstone Reservoirs

5. Structure-oriented prestack waveform inversion