Residual Learning to Integrate Neural Network and Physics-Based Models for Improved Production Prediction in Unconventional Reservoirs. Cornelio, J., Mohd Razak, S., Cho, Y., Liu, H., Vaidya, R., & Jafarpour, B. SPE Journal, 27(06):3328–3350, 2022. Publisher: OnePetrobibtex @article{cornelio_residual_2022,
title = {Residual {Learning} to {Integrate} {Neural} {Network} and {Physics}-{Based} {Models} for {Improved} {Production} {Prediction} in {Unconventional} {Reservoirs}},
volume = {27},
number = {06},
journal = {SPE Journal},
author = {Cornelio, Jodel and Mohd Razak, Syamil and Cho, Young and Liu, Hui-Hai and Vaidya, Ravimadhav and Jafarpour, Behnam},
year = {2022},
note = {Publisher: OnePetro},
pages = {3328--3350},
}
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