Publications – Young Cho

Embedding physical flow functions into deep learning predictive models for improved production forecasting. Razak, S. M.; Cornelio, J.; Cho, Y.; Liu, H.; Vaidya, R.; and Jafarpour, B. In Unconventional Resources Technology Conference, 20–22 June 2022, pages 2098–2117, 2022. Unconventional Resources Technology Conference (URTeC)
link 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},
}

Transfer learning with recurrent neural networks for long-term production forecasting in unconventional reservoirs. Mohd Razak, S.; Cornelio, J.; Cho, Y.; Liu, H.; Vaidya, R.; and Jafarpour, B. SPE Journal, 27(04): 2425–2442. 2022. Publisher: OnePetro
link bibtex

@article{mohd_razak_transfer_2022,
	title = {Transfer learning with recurrent neural networks for long-term production forecasting in unconventional reservoirs},
	volume = {27},
	number = {04},
	journal = {SPE Journal},
	author = {Mohd Razak, Syamil and Cornelio, Jodel and Cho, Young and Liu, Hui-Hai and Vaidya, Ravimadhav and Jafarpour, Behnam},
	year = {2022},
	note = {Publisher: OnePetro},
	pages = {2425--2442},
}

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.; and Jafarpour, B. SPE Journal, 27(06): 3328–3350. 2022. Publisher: OnePetro
link bibtex

@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},
}

Transfer learning with multiple aggregated source models in unconventional reservoirs. Cornelio, J.; Razak, S. M.; Cho, Y.; Liu, H. H.; Vaidya, R.; and Jafarpour, B. In Unconventional Resources Technology Conference, 20–22 June 2022, pages 2192–2211, 2022. Unconventional Resources Technology Conference (URTeC)
link bibtex

@inproceedings{cornelio_transfer_2022,
	title = {Transfer learning with multiple aggregated source models in unconventional reservoirs},
	booktitle = {Unconventional {Resources} {Technology} {Conference}, 20–22 {June} 2022},
	publisher = {Unconventional Resources Technology Conference (URTeC)},
	author = {Cornelio, J. and Razak, S. Mohd and Cho, Y. and Liu, H. H. and Vaidya, R. and Jafarpour, B.},
	year = {2022},
	pages = {2192--2211},
}

High-Speed Compact Look-Up Table with Input Select and Registers. Cho, Y.; and Widjaja, Y. 2022.
link bibtex

@patent{cho_high-speed_nodate,
	title = {High-{Speed} {Compact} {Look}-{Up} {Table} with {Input} {Select} and {Registers}},
	nationality = {The United States},
	author = {Cho, Young and Widjaja, Yuniarto},
	year = {2022},
}

Neural Network Methods. Cornelio, J.; Razak, S.; Cho, Y.; and Jafarpour, B. 2022.
link bibtex

@patent{cornelio_neural_nodate,
	title = {Neural {Network} {Methods}},
	nationality = {The United States},
	author = {Cornelio, Jodel and Razak, Syamil and Cho, Young and Jafarpour, Behnam},
	year = {2022},
}