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
- Authors: Bugaev A.S.1, Erokhin G.N.2, Ryabykh S.A.3, Smirnov A.S.4
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Affiliations:
- V.A. Kotelnikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences
- I. Kant Baltic Federal University
- “GIRS-M” LLC
- Gazprom VNIIGAZ LLC
- Issue: Vol 514, No 1 (2024)
- Pages: 131-140
- Section: GEOPHYSICS
- Submitted: 31.01.2025
- Published: 27.06.2024
- URL: https://rjmseer.com/2686-7397/article/view/650030
- DOI: https://doi.org/10.31857/S2686739724010159
- ID: 650030
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