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Machine learning-based coalbed methane well production prediction and fracturing parameter optimization
- “The reservoir heterogeneity of the coalbed methane block in the southern part of the Qinshui Basin is strong, making it difficult to predict the production capacity of gas wells. In addition, the lack of targeted design for fracturing construction has led to significant differences in production effects between wells after fracturing. Experts use the random forest algorithm based on multi task learning strategy to optimize fracturing parameters, providing theoretical support and practical reference for efficient development of coalbed methane in the southern part of the Qinshui Basin.”
- Vol. 15, Issue 2, Pages: 266-273(2025)
Received:29 August 2024,
Published:26 April 2025
DOI: 10.13809/j.cnki.cn32-1825/te.2025.02.011
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