文献
J-GLOBAL ID:202202291550937546
整理番号:22A0155920
オートエンコーダベース畳込みニューラルネットワークを用いた低分解能多孔質媒体画像の透過性予測【JST・京大機械翻訳】
Permeability prediction of low-resolution porous media images using autoencoder-based convolutional neural network
著者 (9件):
Zhang HouLin
(CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, CAS Center for Excellence in Complex System Mechanics, University of Science and Technology of China, Hefei, 230027, China)
,
Yu Hao
(CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, CAS Center for Excellence in Complex System Mechanics, University of Science and Technology of China, Hefei, 230027, China)
,
Yuan XinHeng
(CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, CAS Center for Excellence in Complex System Mechanics, University of Science and Technology of China, Hefei, 230027, China)
,
Xu HengYu
(CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, CAS Center for Excellence in Complex System Mechanics, University of Science and Technology of China, Hefei, 230027, China)
,
Micheal Marembo
(CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, CAS Center for Excellence in Complex System Mechanics, University of Science and Technology of China, Hefei, 230027, China)
,
Zhang JiaNing
(CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, CAS Center for Excellence in Complex System Mechanics, University of Science and Technology of China, Hefei, 230027, China)
,
Shu HongLin
(Petrochina Zhejiang Oilfield Company, China)
,
Wang GaoCheng
(Petrochina Zhejiang Oilfield Company, China)
,
Wu HengAn
(CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, CAS Center for Excellence in Complex System Mechanics, University of Science and Technology of China, Hefei, 230027, China)
資料名:
Journal of Petroleum Science and Engineering
(Journal of Petroleum Science and Engineering)
巻:
208
号:
PC
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)