Machine learning-based fracturing parameter optimization for horizontal wells in Panke field shale oil

Machine learning-based fracturing parameter optimization for horizontal wells in Panke field shale oil

Abstract In the process of developing tight oil and gas reservoirs, multistage fractured horizontal wells (NFHWs) can greatly increase the production rate, and the optimal design of its fracturing parameters is also an important means to further increase the production rate. Accurate production pred...

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Bibliographic Details
Main Authors: Weirong Li, Tianyang Zhang, Xinju Liu, Zhenzhen Dong, Guoqing Dong, Shihao Qian, Zhanrong Yang, Lu Zou, Keze Lin, Tao Zhang
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Machine learning
Shale oil
Fracturing parameter optimization
Sensitivity analysis
Integrating reservoir simulation
Online Access:https://doi.org/10.1038/s41598-024-56660-8

Internet

https://doi.org/10.1038/s41598-024-56660-8

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