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A Comprehensive review of data-driven approaches for forecasting production from unconventional reservoirs: best practices and future directions

Published Online: 2024-07-22

Authors

Rahmanifard, Hamid

Gates, Ian
Funding

Funding for this research was provided by:

Natural Sciences and Engineering Research Council of Canada (PGS Scholarship)

Canada First Research Excellence Fund (University of Calgary GRI Program)
License Information

Text and Data Mining valid from 2024-07-22

Version of Record valid from 2024-07-22
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Article History

Accepted: 13 July 2024

First Online: 22 July 2024

Declarations

:

: The authors declare no competing interests.

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