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.
Authors
- Zheng Yi Wu
- Zelin Peng (ORCID: https://orcid.org/0009-0002-4066-7929)
- Wenchao Teng
- Yongjun Wang (ORCID: https://orcid.org/0000-0002-3230-0214)
- Liangjun Li (ORCID: https://orcid.org/0000-0001-9370-4995)
Institutions
- Wenzhou Polytechnic (CN)
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