文献
J-GLOBAL ID:202202225248387972
整理番号:22A0903853
人工知能法を用いた傾斜環状における摩擦圧力損失の厳密なモデリング【JST・京大機械翻訳】
Rigorous modeling of frictional pressure loss in inclined annuli using artificial intelligence methods
著者 (5件):
Bemani Amin
(Department of Petroleum Engineering, Amirkabir University of Technology (Polytechnic of Tehran), Tehran, Iran)
,
Kazemi Alireza
(Department of Petroleum and Chemical Engineering, Sultan Qaboos University, Muscat, Oman)
,
Ahmadi Mohammad
(Department of Petroleum Engineering, Amirkabir University of Technology (Polytechnic of Tehran), Tehran, Iran)
,
Yousefzadeh Reza
(Department of Petroleum Engineering, Amirkabir University of Technology (Polytechnic of Tehran), Tehran, Iran)
,
Moraveji Mostafa Keshavarz
(Department of Chemical Engineering, Amirkabir University of Technology (Polytechnic of Tehran), Tehran, Iran)
資料名:
Journal of Petroleum Science and Engineering
(Journal of Petroleum Science and Engineering)
巻:
211
ページ:
Null
発行年:
2022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)