Oblique-incidence reflectivity difference method combined with deep learning for predicting anisotropy of invisible-bedding shale-Reference-Cited by-同舟云学术

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Oblique-incidence reflectivity difference method combined with deep learning for predicting anisotropy of invisible-bedding shale

Published:2020-11 Issue: Volume:6 Page:795-801
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Chen Ru,Ren Zewei,Meng Zhaohui,Zhan Honglei,Miao Xinyang,Zhao Kun,Lű Huibin,Jin Kuijuan,Hao Shijie,Yue Wenzheng,Yang Guozhen

Funder

National Nature Science Foundation of China

Science Foundation of China University of Petroleum, Beijing, China

University-Industry Collaborative Education Program

Publisher

Elsevier BV

Subject

General Energy

Reference26 articles.

1. Numerical investigation of bedding plane parameters of transversely isotropic shale;Chong;Rock Mech. Rock Eng.,2017

2. Energy: A reality check on the shale revolution;Hughes;Nature,2013

3. Natural gas from shale bursts onto the scene;Kerr;Science,2010

4. Stress anisotropy and velocity anisotropy in low porosity shale;Kuila;Tectonophysics,2011

5. Incidence-angle dependence of optical reflectivity difference from an ultrathin film on a solid surface;Landry;Opt. Lett.,2006

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