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Keywords: bi-lstm
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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3863926-MS
... using DL models. Among three wells, LSTM and Bi-LSTM perform relatively closer in three counties with non-linear production history and reported as Frio with (R 2 ± 84%, Error ± 9), La Salle ( R 2 ± 97%, Error ± 4) and Zavala (R 2 ± 91%, Error ± 5). Among all tested models, Bi-LSTM showed superior...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3707202-MS
... learning and deep neural network to estimate and predict the geomechanical properties of the Permian Basin. The log-derived prediction algorithm includes (a) Single-Well prediction, 75% of log data of a single well is used as a specimen for training the Bi-LSTM, and the rest 25% of data of the same well...

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