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PREDICTION OF REMAINING OIL DISTRIBUTION USING FRACTAL CONDITION SIMULATION AND STREAMLINE SIMULATOR

Wang Cai-jing

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Abstract

The prediction of remaining oil saturation distribution is the most important research aspect during high water-bearing periods. It determines the scheme of secondary oil recovery and tertiary oil recovery evaluation. One of the effective method is to adopt stochastic simulation for fine reservoir description and establish several fine geology models taking full advantage well testing data. The appropriate model is selected by fine reservoir modeling and comparing its result and the actual data. Finally, the remaining oil saturation distribution is predicted through numeric simulation using water displacing oil streamline simulator. Examples indicate that this method can be carried out rapidly with high precision, and can be widely applied.

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What this paper is about

The prediction of remaining oil saturation distribution is the most important research aspect during high water-bearing periods. It determines the scheme of secondary oil recovery and tertiary oil recovery evaluation. One of the effective method is to adopt stochastic simulation for fine reservoir description and establish several fine geology models taking full advantage well testing data. The appropriate model is selected by fine reservoir modeling and comparing its result and the actual data. Finally, the remaining oil saturation distribution is predicted through numeric simulation using water displacing oil streamline simulator. Examples indicate that this method can be carried out rapidly with high precision, and can be widely applied.

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Available abstract

The prediction of remaining oil saturation distribution is the most important research aspect during high water-bearing periods. It determines the scheme of secondary oil recovery and tertiary oil recovery evaluation. One of the effective method is to adopt stochastic simulation for fine reservoir description and establish several fine geology models taking full advantage well testing data. The appropriate model is selected by fine reservoir modeling and comparing its result and the actual data. Finally, the remaining oil saturation distribution is predicted through numeric simulation using water displacing oil streamline simulator. Examples indicate that this method can be carried out rapidly with high precision, and can be widely applied.

Key concepts: Reservoir simulation, Petroleum engineering, Fractal, Saturation (graph theory), Stochastic simulation, Water saturation, Geology, Computer science

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