Predicting gas flow rate in fractured shale reservoirs using discrete fracture model and GA-BP neural network method-Reference-Cited by-同舟云学术

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Predicting gas flow rate in fractured shale reservoirs using discrete fracture model and GA-BP neural network method

Published:2024-02 Issue: Volume:159 Page:315-330
ISSN:0955-7997
Container-title:Engineering Analysis with Boundary Elements
language:en
Short-container-title:Engineering Analysis with Boundary Elements

Author:

Liu Jianfeng,He Xin,Huang Haoyong,Yang Jianxiong^ORCID,Dai Jingjing,Shi Xiangchao,Xue Fujun,Rabczuk Timon

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics,General Engineering,Analysis

Reference70 articles.

1. Resource potential, exploration and devel-opment prospect of shale gas in the whole world;Dong;Geol Bull China,2011

2. Study of a simulation of degree of fracturing production and resulting gas flow in shale gas reservoirs;Zhao;Petrol Drill Techn,2018

3. Formation of vertical fractures by means of highly viscous liquid;Khristianovic,1955

4. A rapid method of predicting width and extent of hydraulically induced fractures;Geertsma;J Petrol Technol,1969

5. Widths of hydraulic fractures;Perkins;J Petrol Technol,1961

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