Drilling and Completion Anomaly Detection in Daily Reports by Deep Learning and Natural Language Processing Techniques

Autor:	Hongbao Zhang, Zaifu Huang, Jin Xin, Lulu Liao, Jian Song, Bao Hongzhi, Zhifa Wang, Xinjin Chen, Yijin Zeng, Yang Xu
Rok vydání:	2020
Předmět:	Completion (oil and gas wells) Computer science business.industry Deep learning Drilling Anomaly detection Artificial intelligence business computer.software_genre computer Natural language processing
Zdroj:	Proceedings of the 8th Unconventional Resources Technology Conference.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::34458c755fc71781dba28cec43bd55a1 https://doi.org/10.15530/urtec-2020-2885 Zobrazit plný text záznamu