Reservoir Characterization of A Permian Giant: Yates Field, West Texas
Scott W. Tinker, Denise H. Mruk, 1995. "Reservoir Characterization of A Permian Giant: Yates Field, West Texas", Hydrocarbon Reservoir Characterization: Geologic Framework and Flow Unit Modeling, Emily L. Stoudt, Paul M. Harris
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The Yates Field reservoir characterization project provided the geologic framework, data, and tools that support the ongoing reservoir management of Yates Field. Geologic and engineering data, including 1800 wells with digital log data; 23,000 ft of quantified core analysis and description; and six decades of production data were integrated, analyzed, and output in a format that could be used for field evaluation, management, and simulation.
The Yates Field reservoir characterization products include quantified, standardized, digital core descriptions for 118 cores in the field; a digital tops database for every well in the field; a digital cave location database; 2-D digital cross sections through every well in the field; 2-D structure and isochore maps for major and internal marker horizons, net and gross reservoir maps, net and gross shale maps, secondary calcite distribution maps, cave distribution maps, and fracture distribution maps; and a 6.8 million cell, 3-D geologic model of the complete reservoir that includes log, core, and production data.
The reservoir characterization project resulted in a quantified description of the heterogeneous matrix and fracture network in Yates Field. The efficient, ongoing management of this classic dual-porosity system has stabilized production from this 68-year-old, 4.2 billion barrel field.
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Hydrocarbon Reservoir Characterization: Geologic Framework and Flow Unit Modeling
This collection of papers presents documentation for (1) approaches to be taken in developing a geologic framework for explaining layering, heterogeneity, and compartmentalization of a reservoir; (2) the value of outcrop data in improving understanding of reservoir performance; (3) methods for integrating, analyzing, and displaying geologic, petrophysical rock property, and engineering data to be used during field evaluation, management, and simulation; (4) geostatistical approaches that are being used to characterize the spatial distribution of reservoir properties and augment geologic descriptions, and (5) methods of displaying quantitative models of reservoir properties and reservoir simulation in three dimensions.