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Proceedings Papers

Supervised machine learning sedimentological characterization workflow: A tool to bridge the gap between qualitative and quantitative facies interpretation and uncertainty quantification

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Anis Seksaf, Boris Kostic, Chloé Château, Daniel Clay, Kamel Tamene, Meriem Bertouche, Jan Van Der Wal, Raja Ramalingam, Abd El-Aziz Sabry, Boland Ghadeer Taleb, Chen Chao
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4092128
https://doi.org/10.1190/image2024-4092128.1
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