A preliminary study on the application of machine learning model in shale gas frac-turing

With the rapid development of artificial intelligence technology, machine learning models have shown great potential in many fields. This paper focuses on the application of machine learning model in shale gas fracturing, starting from the complexity of shale gas fracturing and the limi-tations of traditional methods, expounds the application scenarios, advantages and challenges of machine learning model in this field, demonstrates its practical application effect through case analysis, and finally discusses the future development direction, aiming to provide reference for the optimization and innovation of shale gas fracturing technology.

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Publication Details

Journal
计算机科学辑要
Published
2025-05-08
DOI
https://doi.org/10.63313/cs.8010
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

A preliminary study on the application of machine learning model in shale gas frac-turing

Zheng Yi Wu, Zelin Peng, Wenchao Teng, Yongjun Wang et al.
计算机科学辑要
Hydrocarbon exploration and reservoir analysis
article

A preliminary study on the application of machine learning model in shale gas frac-turing

Zheng Yi Wu, Zelin Peng, Wenchao Teng, Yongjun Wang, Liangjun Li
article en

Abstract

With the rapid development of artificial intelligence technology, machine learning models have shown great potential in many fields. This paper focuses on the application of machine learning model in shale gas fracturing, starting from the complexity of shale gas fracturing and the limi-tations of traditional methods, expounds the application scenarios, advantages and challenges of machine learning model in this field, demonstrates its practical application effect through case analysis, and finally discusses the future development direction, aiming to provide reference for the optimization and innovation of shale gas fracturing technology.

计算机科学辑要
Wenzhou Polytechnic (CN)
Openalex Percentile: Top 89%
Hydrocarbon exploration and reservoir analysis
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