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Prediction of Fluid–Brine Event Zones by Artificial Intelligence Methods Based on New Generation RTH Seismic Attributes and Drilling Data at the Kovykta Gas Condensate Field

Crossref DOI link: https://doi.org/10.1134/S1028334X23602389

Published Online: 2023-11-29

Published Print: 2024-01

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

Authors

Bugaev, A. S.

Erokhin, G. N.

Ryabykh, S. A.

Smirnov, A. S.
License Information

Text and Data Mining valid from 2023-11-29

Version of Record valid from 2023-11-29
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Article History

Received: 22 June 2023

Revised: 6 September 2023

Accepted: 12 September 2023

First Online: 29 November 2023

CONFLICT OF INTEREST

: The authors declare that they have no conflicts of interest.

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