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A new fluid factor and its application using a deep learning approach

Amplitude interpretation for hydrocarbon prediction is an important task in the oil and gas industry. Seismic amplitude is dominated by porosity, the volume of clay, pore-filled fluid type and lithology. A few seismic attributes are proposed to predict the existence of hydrocarbon. This paper propos...

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書誌詳細
主要な著者:	Liu, C., Ghosh, D.P., Salim, A.M.A., Chow, W.S.
フォーマット:	論文
出版事項:	2019
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057314987&doi=10.1111%2f1365-2478.12712&partnerID=40&md5=cf9e3d951f0bf61da34fb1b4d3734172 http://eprints.utp.edu.my/22222/
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