文献
J-GLOBAL ID:202002279297950770
整理番号:20A2481408
深層学習を用いた掘削パラメータからのガンマ線検層生成【JST・京大機械翻訳】
Gamma ray log generation from drilling parameters using deep learning
著者 (6件):
Osarogiagbon Augustine Uhunoma
(Centre for Risk, Integrity, and Safety Engineering (C-RISE), Faculty of Engineering & Applied Science, Memorial University, St. John’s, NL, A1B 3X5, Canada)
,
Osarogiagbon Augustine Uhunoma
(Drilling Technology Laboratory (DTL), Faculty of Engineering & Applied Science, Memorial University, St. John’s, NL, A1B 3X5, Canada)
,
Oloruntobi Olalere
(Drilling Technology Laboratory (DTL), Faculty of Engineering & Applied Science, Memorial University, St. John’s, NL, A1B 3X5, Canada)
,
Khan Faisal
(Centre for Risk, Integrity, and Safety Engineering (C-RISE), Faculty of Engineering & Applied Science, Memorial University, St. John’s, NL, A1B 3X5, Canada)
,
Venkatesan Ramachandran
(Centre for Risk, Integrity, and Safety Engineering (C-RISE), Faculty of Engineering & Applied Science, Memorial University, St. John’s, NL, A1B 3X5, Canada)
,
Butt Stephen
(Drilling Technology Laboratory (DTL), Faculty of Engineering & Applied Science, Memorial University, St. John’s, NL, A1B 3X5, Canada)
資料名:
Journal of Petroleum Science and Engineering
(Journal of Petroleum Science and Engineering)
巻:
195
ページ:
Null
発行年:
2020年
JST資料番号:
T0412A
ISSN:
0920-4105
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)