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contributor authorFaramarzi-Palangar, Mohsen
contributor authorSedaee, Behnam
contributor authorEmami Niri, Mohammad
date accessioned2022-02-05T22:36:03Z
date available2022-02-05T22:36:03Z
date copyright2/9/2021 12:00:00 AM
date issued2021
identifier issn0195-0738
identifier otherjert_143_11_112901.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4277822
description abstractThe correct definition of rock types plays a critical role in reservoir characterization, simulation, and field development planning. In this study, we use the critical pore size (linf) as an approach for reservoir rock typing. Two linf relations were separately derived based on two permeability prediction models and then merged together to drive a generalized linf relation. The proposed rock typing methodology includes two main parts: in the first part, we determine an appropriate constant coefficient, and in the second part, we perform reservoir rock typing based on two different scenarios. The first scenario is based on the forming groups of rocks using statistical analysis, and the second scenario is based on the forming groups of rocks with similar capillary pressure curves. This approach was applied to three data sets. In detail, two data sets were used to determine the constant coefficient, and one data set was used to show the applicability of the linf method in comparison with FZI for rock typing.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Further Investigation on the Application of Critical Pore Size as an Approach for Reservoir Rock Typing
typeJournal Paper
journal volume143
journal issue11
journal titleJournal of Energy Resources Technology
identifier doi10.1115/1.4049735
journal fristpage112901-1
journal lastpage112901-13
page13
treeJournal of Energy Resources Technology:;2021:;volume( 143 ):;issue: 011
contenttypeFulltext


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