3D pixel-based stochastic lithofacies modeling in a tidal sandstone reservoir

The geological facies modeling is a crucial problem in the overall reservoir characterization as it affects the reservoir heterogeneities and fluid flow performance prediction. The main purpose of the research is to adopt the stochastic lithofacies modeling in a tidal sandstone reservoir (Main Pay)...

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Главные авторы:	Bondarenko, M. A., Бондаренко, М. А.
Formato:	Статья
Idioma:	Russian
Publicado em:	European Association of Geoscientists and Engineers, EAGE 2019
Assuntos:	Flow of fluids Geology Natural resources exploration Oil fields Pixels Sandstone Shale Stochastic systems Sand
Acesso em linha:	https://www.scopus.com/record/display.uri?eid=2-s2.0-84957921533&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=north+caucasus+federal+university&sid=a11d19de522aac52d11697b0805da4b1&sot=afnl&sdt=sisr&cluster=scopubyr%2c%222015%22%2ct&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&ref=%283D+pixel-based+stochastic+lithofacies+modeling+in+a+tidal+sandstone+reservoir%29&relpos=0&citeCnt=1&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/4267
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spelling	ir-20.500.12258-42672020-09-11T14:17:23Z 3D pixel-based stochastic lithofacies modeling in a tidal sandstone reservoir Bondarenko, M. A. Бондаренко, М. А. Flow of fluids Geology Natural resources exploration Oil fields Pixels Sandstone Shale Stochastic systems Sand The geological facies modeling is a crucial problem in the overall reservoir characterization as it affects the reservoir heterogeneities and fluid flow performance prediction. The main purpose of the research is to adopt the stochastic lithofacies modeling in a tidal sandstone reservoir (Main Pay) of South Rumaila Oil Field to build the geological structure of the reservoir. Based on the core measurements, the reservoir has three main lithofacies: Sand, Shaly Sand, and Shale as the literature indicates that it encompasses mainly of sandstone with some interbedded shale zones. In addition, the main pay formation was deposited in a tidal sand-rich environment that the sand channels are stacked and prevailed everywhere across the formation. The Sequential Indicator Simulation (SISIM) has been used to build the categorical image, pixel by pixel considering the nonparametric condition distribution. SISIM depends on the variogram to address and model the variation between any two spatial points from the available data. Therefore, 12 different variograms have been built given the three lithofacies in four different directions: 0°, 45°, 90°, and 135° The resulted lithofacies models given the three lithotypes have indicated good matching with the original formation depositional environment of tidal dominated and sand-rich environment 2019-02-13T14:00:03Z 2019-02-13T14:00:03Z 2015 Статья Al-Mudhafar, W.J.M., Bondarenko, M. 3D pixel-based stochastic lithofacies modeling in a tidal sandstone reservoir // Geomodel 2015 - 17th Scientific-Practical Conference on Oil and Gas Geological Exploration and Development. - 2015. - Pages 70-74 https://www.scopus.com/record/display.uri?eid=2-s2.0-84957921533&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=north+caucasus+federal+university&sid=a11d19de522aac52d11697b0805da4b1&sot=afnl&sdt=sisr&cluster=scopubyr%2c%222015%22%2ct&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&ref=%283D+pixel-based+stochastic+lithofacies+modeling+in+a+tidal+sandstone+reservoir%29&relpos=0&citeCnt=1&searchTerm= http://hdl.handle.net/20.500.12258/4267 ru Geomodel 2015 - 17th Scientific-Practical Conference on Oil and Gas Geological Exploration and Development application/pdf European Association of Geoscientists and Engineers, EAGE
institution	СКФУ
collection	Репозиторий
language	Russian
topic	Flow of fluids Geology Natural resources exploration Oil fields Pixels Sandstone Shale Stochastic systems Sand
spellingShingle	Flow of fluids Geology Natural resources exploration Oil fields Pixels Sandstone Shale Stochastic systems Sand Bondarenko, M. A. Бондаренко, М. А. 3D pixel-based stochastic lithofacies modeling in a tidal sandstone reservoir
description	The geological facies modeling is a crucial problem in the overall reservoir characterization as it affects the reservoir heterogeneities and fluid flow performance prediction. The main purpose of the research is to adopt the stochastic lithofacies modeling in a tidal sandstone reservoir (Main Pay) of South Rumaila Oil Field to build the geological structure of the reservoir. Based on the core measurements, the reservoir has three main lithofacies: Sand, Shaly Sand, and Shale as the literature indicates that it encompasses mainly of sandstone with some interbedded shale zones. In addition, the main pay formation was deposited in a tidal sand-rich environment that the sand channels are stacked and prevailed everywhere across the formation. The Sequential Indicator Simulation (SISIM) has been used to build the categorical image, pixel by pixel considering the nonparametric condition distribution. SISIM depends on the variogram to address and model the variation between any two spatial points from the available data. Therefore, 12 different variograms have been built given the three lithofacies in four different directions: 0°, 45°, 90°, and 135° The resulted lithofacies models given the three lithotypes have indicated good matching with the original formation depositional environment of tidal dominated and sand-rich environment
format	Статья
author	Bondarenko, M. A. Бондаренко, М. А.
author_facet	Bondarenko, M. A. Бондаренко, М. А.
author_sort	Bondarenko, M. A.
title	3D pixel-based stochastic lithofacies modeling in a tidal sandstone reservoir
title_short	3D pixel-based stochastic lithofacies modeling in a tidal sandstone reservoir
title_full	3D pixel-based stochastic lithofacies modeling in a tidal sandstone reservoir
title_fullStr	3D pixel-based stochastic lithofacies modeling in a tidal sandstone reservoir
title_full_unstemmed	3D pixel-based stochastic lithofacies modeling in a tidal sandstone reservoir
title_sort	3d pixel-based stochastic lithofacies modeling in a tidal sandstone reservoir
publisher	European Association of Geoscientists and Engineers, EAGE
publishDate	2019
url	https://www.scopus.com/record/display.uri?eid=2-s2.0-84957921533&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=north+caucasus+federal+university&sid=a11d19de522aac52d11697b0805da4b1&sot=afnl&sdt=sisr&cluster=scopubyr%2c%222015%22%2ct&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&ref=%283D+pixel-based+stochastic+lithofacies+modeling+in+a+tidal+sandstone+reservoir%29&relpos=0&citeCnt=1&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/4267
work_keys_str_mv	AT bondarenkoma 3dpixelbasedstochasticlithofaciesmodelinginatidalsandstonereservoir AT bondarenkoma 3dpixelbasedstochasticlithofaciesmodelinginatidalsandstonereservoir
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3D pixel-based stochastic lithofacies modeling in a tidal sandstone reservoir

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