文献
J-GLOBAL ID:202202247261416454
整理番号:22A0397624
高減衰貯留層の周波数および角度依存地震特性のBayesインバージョンを用いた炭化水素検出のための改善アプローチ【JST・京大機械翻訳】
An Improved Approach for Hydrocarbon Detection Using Bayesian Inversion of Frequency- and Angle-Dependent Seismic Signatures of Highly Attenuative Reservoirs
著者 (5件):
He Yan-Xiao
(State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, China)
,
Wang Shangxu
(State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, China)
,
Yuan Sanyi
(State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, China)
,
Tang Genyang
(State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, China)
,
Wu Xinyu
(State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, China)
資料名:
IEEE Geoscience and Remote Sensing Letters
(IEEE Geoscience and Remote Sensing Letters)
巻:
19
ページ:
ROMBUNNO.7500105.1-5
発行年:
2022年
JST資料番号:
W1397A
ISSN:
1545-598X
CODEN:
IGRSBY
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)