Evaluation of hydraulic fracturing of horizontal wells in tight reservoirs based on the deep neural network with physical constraints-Reference-Cited by-同舟云学术

Evaluation of hydraulic fracturing of horizontal wells in tight reservoirs based on the deep neural network with physical constraints

Published:2023-04 Issue:2 Volume:20 Page:1129-1141
ISSN:1995-8226
Container-title:Petroleum Science
language:en
Short-container-title:Petroleum Science

Author:

Qu Hong-Yan,Zhang Jian-Long,Zhou Fu-Jian,Peng Yan,Pan Zhe-Jun,Wu Xin-Yao

Funder

National Natural Science Foundation of China

China University of Petroleum, Beijing

China National Petroleum Corporation

Science Foundation of China University of Petroleum, Beijing

Publisher

Elsevier BV

Subject

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

Reference40 articles.

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5. Initial productivity prediction method for offshore oil wells based on data mining algorithm with physical constraints;Dong;Editorial Department of Petroleum Geology and Recovery Efficiency,2022

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