--> ABSTRACT: Integrated PC-Compatible Petrographic Database for Petroleum Reservoir Characterization, by L. A. Wilcox, T. S. Dyman, J. B. Sosebee, Jr.; #91003 (1990).

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ABSTRACT: Integrated PC-Compatible Petrographic Database for Petroleum Reservoir Characterization

L. A. Wilcox, T. S. Dyman, J. B. Sosebee, Jr.

Integrating petrographic data for reservoir characterization can be a complicated task. Data may be in different units, may vary in precision and analytical method, and may come from several different sources. Data relationships established using data elements from different sources may be incomplete because data files are not properly integrated. By merging files into one easy-to-access database, commercially available software can be used for graphical and statistical analyses.

A relational database of petrographic data was constructed using data files from middle Cretaceous sandstones of southwest Montana and from Pennsylvanian sandstones of the Anadarko basin, Oklahoma. The database is compatible with commercially available well and reservoir data files and U.S. Geological Survey geochemical data files. The database includes three components or files: compositional, diagenetic, and physical characterization. Compositional data include counts of framework and accessory grains from thin sections or sieve analyses; diagenetic data include paragenetic sequences and presence-absence of alteration products; physical characterization data include porosity, permeability, and mechanical properties of rocks. ENABLE was selected to manage the database because of its apabilities to generate and

integrate ad hoc and formal reports, spreadsheet calculations, matrices, and other relational databases. Files of data in the required formats were then read to appropriate applications software to generate graphical displays, probability distributions, and bivariate and multivariate statistical analyses. Maps, cross sections, and x-y plots illustrate spatial variations in diagenetic alteration, porosity, and compositional heterogeneity. Statistical analyses define important diagenetic and compositional variables and the spatial distribution of these variables.

Benefits to the user include easy-to-use operation with commercially available software, ease of file manipulation and integration for optimum data analysis, and graphically and statistically displayed data to characterize the exploration potential of reservoir rocks.

AAPG Search and Discovery Article #91003©1990 AAPG Annual Convention, San Francisco, California, June 3-6, 1990