Development of improved method for evaluation of reservoir properties of formation

Olena Martus () and Viktor Agarkov
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Olena Martus: National University «Yuri Kondratyuk Poltava Polytechnic»
Viktor Agarkov: State Enterprise «Kharkivstandartmetrologiya»

Technology audit and production reserves, 2022, vol. 5, issue 1(67), 33-37

Abstract: The object of research in the paper is the process of fluid transfer through the pore space of the reservoir rock. The traditional method of assessing reservoir properties has a significant number of sources of uncertainty. In this article, to compensate for the shortcomings of the existing method of reservoir characterization, an algorithm of actions is proposed with an increase in the accuracy and representativeness of its results. The workflow of the pre-alpha version of the software for the existing pore space representation algorithm is presented. In this work, the step-by-step actions necessary to create an application that can reproduce the pore space and mass transfer processes in it by reading the data of the magnetic resonance imaging (MRI) of the rock were analytically determined. In particular, the use of ready-made open code is proposed, which displays the rock according to the pictures and also reproduces the fluid flow processes in the rock reservoir. Still, there is no adapted framework for the ordinary user. The use of such an application, proposed by the authors, will lead to a much lower degree of the reservoir properties uncertainty, will help to more reliably reflect the reservoir properties of the reservoir rock, and provide a more reliable impression of the reservoir operation at the design stage of its development. The proposed software, based on already existing developments in open access on the GitHub platform, will help the user to fully use the existing tools for building a three-dimensional model of a porous sample based on the data of MRI images of the rock. After finalizing the user interface with the help of the user interface design and front-end development, the engineering staff will be able to conduct research on the rock at a macroscopic level.

Keywords: fluid transfer; porous media; pre-alfa version; reservoir rock; uncertainty degree (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:baq:taprar:v:5:y:2022:i:1:p:33-37

DOI: 10.15587/2706-5448.2022.266572

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