A data-driven shale gas production forecasting method based on the multi-objective random forest regression
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Title
A data-driven shale gas production forecasting method based on the multi-objective random forest regression
Authors
Keywords
Shale gas, Production forecasting, Machine learning, Random forest
Journal
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
Volume 196, Issue -, Pages 107801
Publisher
Elsevier BV
Online
2020-08-20
DOI
10.1016/j.petrol.2020.107801
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