Optimization of shale gas fracturing parameters based on artificial intelligence algorithm-Reference-Cited by-同舟云学术

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Optimization of shale gas fracturing parameters based on artificial intelligence algorithm

Published:2023-12 Issue: Volume:4 Page:95-110
ISSN:2666-5441
Container-title:Artificial Intelligence in Geosciences
language:en
Short-container-title:Artificial Intelligence in Geosciences

Author:

Qian Shihao^ORCID,Dong Zhenzhen,Shi Qianqian,Guo Wei,Zhang Xiaowei,Liu Zhaoxia,Wang Lingjun,Wu Lei,Zhang Tianyang,Li Weirong

Funder

Research Institute of Petroleum Exploration and Development

Publisher

Elsevier BV

Subject

Artificial Intelligence,Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Control and Systems Engineering

Reference47 articles.

1. New pore-scale considerations for shale gas in place calculations;Ambrose,2010

2. Real-time hydraulic fracturing pressure prediction with machine learning;Ben,2020

3. Random forests;Brieman;Mach. Learn.,2001

4. Data mining: a knowledge discovery approach;Cios;Data Mining: Knowl. Discov. Approach,2007

5. Fractured shale-gas systems;Curtis;AAPG (Am. Assoc. Pet. Geol.) Bull.,2002

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