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Special Topics & Reviews in Porous Media: An International Journal
ESCI SJR: 0.277 SNIP: 0.52 CiteScore™: 1.3

ISSN Печать: 2151-4798
ISSN Онлайн: 2151-562X

Special Topics & Reviews in Porous Media: An International Journal

DOI: 10.1615/SpecialTopicsRevPorousMedia.v3.i2.10
pages 97-103

RESERVOIR ROCK TYPE ANALYSIS USING STATISTICAL PORE SIZE DISTRIBUTION

Ali Abedini
Petroleum Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, Regina, SK, Canada S4S 0A2
Farshid Torabi
Petroleum Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, Regina, SK, S4S 0A2, Canada; Department of Petroleum Engineering, School of Chemical and Petroleum Engineering, Shiraz University, Iran
Paitoon Tontiwachwuthikul
Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan, S4S 0A2 Canada

Краткое описание

Reservoir rock type determination is one of the main parameters that plays a governing role in the simulation and prediction of hydrocarbon reservoir behavior. Hence, it is of great importance to use a method that is capable of determining the rock type accurately. In the present study, a statistical pore size distribution model was used to analyze a reservoir rock type. A parametric probability distribution function was proposed to determine the pore size distribution. Then, the mathematical capillary pressure and J -function models were generated based on this proposed probability function. The results of the mathematical capillary pressure were well matched to the experimental data of the capillary pressure. Therefore, the parameters that are associated with the distribution function were estimated by fitting the capillary model to the measured capillary pressure for each rock sample. As a consequence, the estimated parameters were used to specify a unique pore size distribution function for each rock sample. Finally, the obtained pore size distribution functions classified the rock samples into three discrete rock types that have similar distribution curves.


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