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A Robust Strategy of Geophysical Logging for Predicting Payable Lithofacies to Forecast Sweet Spots Using Digital Intelligence Paradigms in a Heterogeneous Gas Field

Crossref DOI link: https://doi.org/10.1007/s11053-024-10350-4

Published Online: 2024-05-14

Published Print: 2024-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ashraf, Umar

Zhang, Hucai

Thanh, Hung Vo

Anees, Aqsa https://orcid.org/0000-0002-1032-0724
Ali, Muhammad

Duan, Zhenhua

Mangi, Hassan Nasir

Zhang, Xiaonan
Funding

Funding for this research was provided by:

Innovative Research Group Project of the National Natural Science Foundation of China (41820104008)
License Information

Text and Data Mining valid from 2024-05-14

Version of Record valid from 2024-05-14
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Article History

Received: 27 January 2024

Accepted: 12 April 2024

First Online: 14 May 2024

DECLARATIONS

:

: The authors declare no competing interests.

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