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

ISSN Print: 2151-4798
ISSN Online: 2151-562X

Special Topics & Reviews in Porous Media: An International Journal

DOI: 10.1615/SpecialTopicsRevPorousMedia.v2.i4.40
pages 293-300

ROCK TYPE DETERMINATION OF A CARBONATE RESERVOIR USING VARIOUS APPROACHES: A CASE STUDY

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

ABSTRACT

Reservoir rock type determination is one of the main parameters for simulation and prediction of the hydrocarbon reservoir behavior. Hence it is of great importance to use a method that is capable of determining the rock type accurately. In this study, some of the most useful methods, such as capillary pressure, Leverett dimensionless J-function, Winland R35 method, flow zone indicator (FZI), and discrete rock type (DRT), were applied to samples from a carbonate reservoir to determine the various reservoir rock types. The sample set consisted of 265 routine core data and 18 data sets of capillary pressure versus initial water saturation; all were analyzed using the aforementioned determination methods. Results of this study showed that both capillary pressure and Winland R35 were not accurate enough to determine rock types for this carbonate reservoir, mainly because of the high heterogeneity in the reservoir rock properties. For the same reason, the Leverett J-function method was found to be problematic in normalizing all the capillary data into one unique curve. However, FZI and DRT methods successfully classified all data into four discrete rock types, while satisfying the relationships between permeability and porosity for each of them. The calculated permeability data for each rock type classified by FZI and DRT methods were in good agreement with core permeability data.


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