Embedding physical flow functions into deep learning predictive models for improved production forecasting. Razak, S. M., Cornelio, J., Cho, Y., Liu, H., Vaidya, R., & Jafarpour, B. In Unconventional Resources Technology Conference, 20–22 June 2022, pages 2098–2117, 2022. Unconventional Resources Technology Conference (URTeC). bibtex @inproceedings{razak_embedding_2022,
title = {Embedding physical flow functions into deep learning predictive models for improved production forecasting},
booktitle = {Unconventional {Resources} {Technology} {Conference}, 20–22 {June} 2022},
publisher = {Unconventional Resources Technology Conference (URTeC)},
author = {Razak, Syamil Mohd and Cornelio, Jodel and Cho, Young and Liu, Hui-Hai and Vaidya, Ravimadhav and Jafarpour, Behnam},
year = {2022},
pages = {2098--2117},
}
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