Intelligent risk identification of gas drilling based on nonlinear classification network-Reference-Cited by-同舟云学术

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Intelligent risk identification of gas drilling based on nonlinear classification network

Published:2023-10 Issue:5 Volume:20 Page:3074-3084
ISSN:1995-8226
Container-title:Petroleum Science
language:en
Short-container-title:Petroleum Science

Author:

Xia Wen-He,Zhao Zong-Xu,Li Cheng-Xiao,Li Gao,Li Yong-Jie,Ding Xing,Chen Xiang-Dong^ORCID

Publisher

Elsevier BV

Subject

Economic Geology,Geochemistry and Petrology,Geology,Geophysics,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference35 articles.

1. Analysis and research on characteristics of gas underbalanced drilling;Ai;Liaoning Chem. Indust.,2014

2. Radial basis function neural network in fault detection of automotive engines;Adnan;Int. J. Eng. Sci. Technol.,2010

3. Fast and accurate deep network learning by exponential linear units (ELUs);Clevert;Computer Science,2015

4. A practical nonlinear regression technique for horizontal well test interpretation;Cheng;Liq. Fuel. Technol.,2005

5. Face video retrieval based on the deep CNN with RBF Loss;Choi;IEEE Trans. Image Process.,2021

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