An Unsupervised Inversion Method for Seismic Brittleness Parameters Driven by the Physical Equation-Reference-Cited by-同舟云学术

An Unsupervised Inversion Method for Seismic Brittleness Parameters Driven by the Physical Equation

Published:2023 Issue: Volume:61 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wu Yinghe¹^ORCID,Pan Shulin²^ORCID,Chen Yaojie¹,Chen Jingyi³,Yi Shengbo¹,Zhang Dongjun⁴,Song Guojie⁵^ORCID

Affiliation:

1. School of Geoscience and Technology, Southwest Petroleum University, Chengdu, China

2. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation and the School of Geoscience and Technology, Southwest Petroleum University, Chengdu, China

3. Seismic Anisotropy Group, Department of Geosciences, The University of Tulsa, Tulsa, OK, USA

4. Shale Gas Research Institute, PetroChina Southwest Oil & Gasfield Company, Chengdu, China

5. School of Science, Southwest Petroleum University, Chengdu, China

Funder

Technology Cooperation Project of the CNPC-SWPU Innovation Alliance

Central Government Funds of Guiding Local Scientific and Technological Development

Nanchong Municipal Government-Universities Scientific Cooperation Project

Research and Innovation Fund for Graduate Students of Southwest Petroleum University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10119202.pdf?arnumber=10119202

Reference37 articles.

1. Seismic inversion based on L1-norm misfit function and total variation regularization

2. Semi-supervised learning seismic inversion based on Spatio-temporal sequence residual modeling neural network

3. Seismic impedance inversion using l 1-norm regularization and gradient descent methods

4. Seismic impedance inversion based on geophysical-guided cycle-consistent generative adversarial networks

5. Seismic Acoustic Impedance Inversion Using Reweighted L1-Norm Sparse Constraint

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