Prediction of maximum slug length considering impact of well trajectories in British Columbia shale gas fields using machine learning

Autor:	Sungil Kim, Youngwoo Yun, Jiyoung Choi, Majid Bizhani, Tea-woo Kim, Hoonyoung Jeong
Rok vydání:	2022
Předmět:	Fuel Technology Energy Engineering and Power Technology Geotechnical Engineering and Engineering Geology
Zdroj:	Journal of Natural Gas Science and Engineering. 106:104725
ISSN:	1875-5100
DOI:	10.1016/j.jngse.2022.104725
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d84ee9d4a3e496ff7f0c7c4abdeb07ab https://doi.org/10.1016/j.jngse.2022.104725 Zobrazit plný text záznamu Full Text from ScienceDirect