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- W2080512763 abstract "Abstract An integrated fracture modeling process is developed by incorporating different disciplines and scales from static data reservoir characterization to streamline-based dynamic data calibration. The geometry and continuity of reservoir properties need to be modeled before characterizing fractures. The geological structure based geomechanical analysis, rock physics modeling and azimuthal seismic anisotropy techniques are applied to deriving strain and stress properties, seismic anisotropy. The fracture orientations and density can be identified with these attributes and validated in wells with image logs. The obtained fracture distribution is translated into fracture properties at wells by incorporating geo-mechanical in-suit stress information to identify open fractures and to determine the effective fracture aperture. The spatial geo-mechanical information is useful in predicting the variations of fracture aperture. The coupling flow between the fractures and matrix is considered in the modeling of initial effective permeability tensor. The streamline based flow simulation is performed to match observed reservoir pressure responses at wells. The inferred permeability field can be used to examine the orientations of the major directional flow. By comparing to the fracture distributions characterized with static data, the fracture spatial connectivity can be calibrated. The calibration of fracture permeability is proved to be an efficient way to characterize the complexity of nature fracture system. Streamline simulator can efficiently handle large reservoir models. The application of the modeling process to the case study shows that this is a significant step toward making dynamic data integration in fractured reservoir characterization." @default.
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- W2080512763 date "2005-10-09" @default.
- W2080512763 modified "2023-09-25" @default.
- W2080512763 title "Streamline-Based Production-Data Integration in Fractured-Reservoir Characterization and Its Application" @default.
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- W2080512763 doi "https://doi.org/10.2118/95779-ms" @default.
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