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Proceedings Papers

Predicting Hydrocarbon Production Behavior in Heterogeneous Reservoir Utilizing Deep Learning Models

Fatick Nath, Sarker Asish, Happy R. Debi, Mohammed Omar S. Chowdhury, Zackary J. Zamora, Sergio Muñoz
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3863926-MS
https://doi.org/10.15530/urtec-2023-3863926
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Proceedings Papers

Rock Thin-Section Analysis and Mineral Detection Utilizing Deep Learning Approach

Fatick Nath, Sarker Asish, Shaon Sutradhar, Zhiyang Li, Nazmul Shahadat, Happy R. Debi, S. M. Shamsul Hoque
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3865660-MS
https://doi.org/10.15530/urtec-2023-3865660
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View Paper titled, Rock Thin-Section Analysis and Mineral Detection Utilizing Deep Learning Approach
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Proceedings Papers

Prediction and Analysis of Geomechanical Properties using Deep Learning: A Permian Basin Case Study

Fatick Nath, Karina Murillo, Sarker Monojit Asish, Deepak Ganta, Valeria Limon, Edgardo Aguirre, Gabriel Aguirre, Happy R. Debi, Jose L. Perez, Cesar Netro, Flavio Borjas
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3707202-MS
https://doi.org/10.15530/urtec-2022-3707202
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View Paper titled, Prediction and Analysis of Geomechanical Properties using Deep Learning: A Permian Basin Case Study
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