Localization and development of residual oil reserves using geochemical studies based on neural network algorithms

At the late stage of field development, residual oil reserves undergo a significant change from mobile to sedentary and stationary. These reserves are mainly located in technogenically and production altered, watered layers and areas of deposits.Localization and development of such sources of hydroc...

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Główni autorzy:	V. A. Sudakov, R. I. Safuanov, A. N. Kozlov, T. M. Porivaev, A. A. Zaikin, R. A. Zinykov, A. A. Lutfullin, I. Z. Farhutdinov, I. Z. Tylyakov
Format:	Artigo
Język:	Inglês
Wydane:	Georesursy Ltd. 2024-04-01
Seria:	Georesursy
Hasła przedmiotowe:	software package convolutional neural network neural network algorithms oil field localization of oil reserves geochemical studies selection of geological and technical measures
Dostęp online:	https://www.geors.ru/jour/article/view/97
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