2024
DOI: 10.3390/sym16050600
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Machine Learning-Based Research for Predicting Shale Gas Well Production

Nijun Qi,
Xizhe Li,
Zhenkan Wu
et al.

Abstract: The estimated ultimate recovery (EUR) of a single well must be predicted to achieve scale-effective shale gas extraction. Accurately forecasting EUR is difficult due to the impact of various geological, engineering, and production factors. Based on data from 200 wells in the Weiyuan block, this paper used Pearson correlation and mutual information to eliminate the factors with a high correlation among the 31 EUR influencing factors. The RF-RFE algorithm was then used to identify the six most important factors … Show more

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