A Dynamic Residual Learning Approach to Improve Physics-Constrained Neural Network Predictions in Unconventional Reservoirs. Mohd Razak, S., Cornelio, J., Cho, Y., Liu, H., Vaidya, R., & Jafarpour, B. In Middle East Oil, Gas and Geosciences Show, 2023. OnePetro. ![A Dynamic Residual Learning Approach to Improve Physics-Constrained Neural Network Predictions in Unconventional Reservoirs [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper bibtex 3 downloads @inproceedings{mohd_razak_dynamic_2023-1,
title = {A {Dynamic} {Residual} {Learning} {Approach} to {Improve} {Physics}-{Constrained} {Neural} {Network} {Predictions} in {Unconventional} {Reservoirs}},
url = {https://onepetro.org/SPEMEOS/proceedings/23MEOS/D021S084R005/517253},
urldate = {2024-02-12},
booktitle = {Middle {East} {Oil}, {Gas} and {Geosciences} {Show}},
publisher = {OnePetro},
author = {Mohd Razak, Syamil and Cornelio, Jodel and Cho, Young and Liu, Hui-Hai and Vaidya, Ravimadhav and Jafarpour, Behnam},
year = {2023},
}
Downloads: 3
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