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},
}
Downloads: 0
{"_id":"xBoN42rbQycWuES3g","bibbaseid":"razak-cornelio-cho-liu-vaidya-jafarpour-embeddingphysicalflowfunctionsintodeeplearningpredictivemodelsforimprovedproductionforecasting-2022","author_short":["Razak, S. M.","Cornelio, J.","Cho, Y.","Liu, H.","Vaidya, R.","Jafarpour, B."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","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":[{"propositions":[],"lastnames":["Razak"],"firstnames":["Syamil","Mohd"],"suffixes":[]},{"propositions":[],"lastnames":["Cornelio"],"firstnames":["Jodel"],"suffixes":[]},{"propositions":[],"lastnames":["Cho"],"firstnames":["Young"],"suffixes":[]},{"propositions":[],"lastnames":["Liu"],"firstnames":["Hui-Hai"],"suffixes":[]},{"propositions":[],"lastnames":["Vaidya"],"firstnames":["Ravimadhav"],"suffixes":[]},{"propositions":[],"lastnames":["Jafarpour"],"firstnames":["Behnam"],"suffixes":[]}],"year":"2022","pages":"2098–2117","bibtex":"@inproceedings{razak_embedding_2022,\n\ttitle = {Embedding physical flow functions into deep learning predictive models for improved production forecasting},\n\tbooktitle = {Unconventional {Resources} {Technology} {Conference}, 20–22 {June} 2022},\n\tpublisher = {Unconventional Resources Technology Conference (URTeC)},\n\tauthor = {Razak, Syamil Mohd and Cornelio, Jodel and Cho, Young and Liu, Hui-Hai and Vaidya, Ravimadhav and Jafarpour, Behnam},\n\tyear = {2022},\n\tpages = {2098--2117},\n}\n\n","author_short":["Razak, S. M.","Cornelio, J.","Cho, Y.","Liu, H.","Vaidya, R.","Jafarpour, B."],"key":"razak_embedding_2022","id":"razak_embedding_2022","bibbaseid":"razak-cornelio-cho-liu-vaidya-jafarpour-embeddingphysicalflowfunctionsintodeeplearningpredictivemodelsforimprovedproductionforecasting-2022","role":"author","urls":{},"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://bibbase.org/network/files/TSGsmQYQwRTFQbxgx","dataSources":["mxanbA62Fe9yzWCRj","LC4HqKNNf8Ltc3Tbs","f6RHezYguXuW4hDCW"],"keywords":[],"search_terms":["embedding","physical","flow","functions","deep","learning","predictive","models","improved","production","forecasting","razak","cornelio","cho","liu","vaidya","jafarpour"],"title":"Embedding physical flow functions into deep learning predictive models for improved production forecasting","year":2022}