Machine learning-based coalbed methane well production prediction and fracturing parameter optimization

Machine learning-based coalbed methane well production prediction and fracturing parameter optimization

The coalbed methane (CBM) blocks in the southern Qinshui Basin exhibit strong reservoir heterogeneity, resulting in challenges for accurate productivity prediction of gas wells. Furthermore, the absence of tailored fracturing designs has caused substantial variations in post-fracturing production pe...

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Bibliographic Details
Main Author: HU Qiujia, LIU Chunchun, ZHANG Jianguo, CUI Xinrui, WANG Qian, WANG Qi, LI Jun, HE Shan
Format: Article
Language:zho
Published: Editorial Department of Petroleum Reservoir Evaluation and Development 2025-04-01
Series:Youqicang pingjia yu kaifa
Subjects:
|coalbed methane|random forest algorithm|multi-task learning|particle swarm optimization algorithm|production prediction|fracturing parameter optimization
Online Access:https://red.magtech.org.cn/fileup/2095-1426/PDF/1743493938479-1664102772.pdf
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https://red.magtech.org.cn/fileup/2095-1426/PDF/1743493938479-1664102772.pdf

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