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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.1d1" xml:lang="kk"><front><journal-meta><journal-id journal-id-type="publisher">Қазақстанның мұнай-газ саласының хабаршысы</journal-id><journal-title-group><journal-title>Қазақстанның мұнай-газ саласының хабаршысы</journal-title></journal-title-group><issn publication-format="print">2707-4226</issn><issn publication-format="electronic">2957-806X</issn><publisher><publisher-name>KMG Engineering</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">108647</article-id><article-id pub-id-type="doi">10.54859/kjogi108647</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Study of the pore structure and calculation of macroscopic characteristics of rocks based on X-ray microcomputed tomography images</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Bolysbek</surname><given-names>Darezhat A.</given-names></name><email>bolysbek.darezhat@gmail.com</email><uri content-type="orcid">https://orcid.org/0000-0001-8936-3921</uri><xref ref-type="aff" rid="aff-1"/><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Kulzhabekov</surname><given-names>Alibek B.</given-names></name><bio>&lt;p&gt;PhD&lt;/p&gt;</bio><email>alibek.kuljabekov@gmail.com</email><uri content-type="orcid">https://orcid.org/0000-0003-4384-6463</uri><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Bekbau</surname><given-names>Bakbergen Y.</given-names></name><bio>&lt;p&gt;PhD&lt;/p&gt;</bio><email>bakbergen.bekbau@gmail.com</email><uri content-type="orcid">https://orcid.org/0000-0003-2410-1626</uri><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Uzbekaliyev</surname><given-names>Kenboy S.</given-names></name><email>kzkenbai@gmail.com</email><uri content-type="orcid">https://orcid.org/0009-0000-6917-4963</uri><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff id="aff-1">Satbayev University</aff><aff id="aff-2">Al-Farabi Kazakh National University</aff><pub-date date-type="epub" iso-8601-date="2023-07-18" publication-format="electronic"><day>18</day><month>07</month><year>2023</year></pub-date><volume>5</volume><issue>2</issue><fpage>17</fpage><lpage>30</lpage><history><pub-date date-type="received" iso-8601-date="2023-04-28"><day>28</day><month>04</month><year>2023</year></pub-date><pub-date date-type="accepted" iso-8601-date="2023-06-21"><day>21</day><month>06</month><year>2023</year></pub-date></history><permissions><copyright-statement>Copyright © 2023, Bolysbek D.A., Kulzhabekov A.B., Bekbau B.Y., Uzbekaliyev K.S.</copyright-statement><copyright-year>2023</copyright-year></permissions><abstract>&lt;p&gt;&lt;strong&gt;Background:&lt;/strong&gt; Absolute and relative phase permeability and capillary pressure are important parameters in predicting oil and gas production from reservoirs, especially when acidizing the bottomhole zone of a well. They are mainly determined during long and resource-intensive laboratory experiments. Thus, additional approaches are required for the operational determination of the above parameters. The pore-network modeling based on microcomputed tomography data allows, firstly, to study the pore space of rock samples taking into account rock dissolution, secondly, to calculate the main macroscopic properties of rock samples without destroying them, and thirdly, to create a database of digital cores for further research&lt;/p&gt;&#13;
&lt;p&gt;&lt;strong&gt;Aim:&lt;/strong&gt; Study of the pore space of two carbonate rock samples and the flow of fluids in them using the General Electric V|tome|X S240 MT and using the Avizo and PNFLOW software package.&lt;/p&gt;&#13;
&lt;p&gt;&lt;strong&gt;Materials and methods:&lt;/strong&gt; This article uses microcomputed tomography with a spatial resolution of ~19 m and pore-network modeling of fluid flow in porous media to study the pore space of carbonate rock samples and determine absolute and phase permeabilities, as well as capillary pressure.&lt;/p&gt;&#13;
&lt;p&gt;&lt;strong&gt;Results:&lt;/strong&gt; It is shown that an increase in the value of the Marker Extent parameter leads to a decrease in the number of pores and an overestimated absolute permeability due to improper pore separation, while a decrease in the value of this parameter made it possible to identify smaller pores. It is also shown that absolute permeability and porosity have different relationships before and after rock dissolution with high correlation coefficients that range from 0.62 to 0.81. It has been shown that rock dissolution will significantly affect the relative phase permeability of the samples.&lt;/p&gt;&#13;
&lt;p&gt;&lt;strong&gt;Conclusion:&lt;/strong&gt; The dissolution of the rock led to a decrease in the residual oil saturation in both samples. In the case of oil displacement by water, as a result of rock dissolution, the residual oil saturation decreased from 38% to 22% and from 53% to 43% for the two samples under study. These results are important for understanding the flow of fluids in carbonate samples.&lt;/p&gt;</abstract><kwd-group xml:lang="en"><kwd>carbonate samples</kwd><kwd>X-ray microcomputed tomography</kwd><kwd>modeling</kwd><kwd>macroscopic characteristics</kwd><kwd>dissolution</kwd></kwd-group><kwd-group xml:lang="kk"><kwd>карбонат үлгілер</kwd><kwd>рентгендік микрокомпьютерлік томография</kwd><kwd>модельдеу</kwd><kwd>макроскопиялық сипаттамалар</kwd><kwd>еру</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>карбонатные образцы</kwd><kwd>рентгеновская микрокомпьютерная томография</kwd><kwd>моделирование</kwd><kwd>макроскопические характеристики</kwd><kwd>растворение</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Cnudde V., Boone M.N. High-resolution X-ray computed tomography in geosciences, a review of the current technology and applications // Earth-Science Reviews. 2013. Vol. 123. P. 1–17. doi: 10.1016/j.earscirev.2013.04.003.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Golparvar A., Zhou Y., Wu K., et al. A comprehensive review of pore scale modeling methodologies for multiphase flow in porous media // Adv Geo-Energy Res. 2018. Vol. 2, N 4. P. 418–440. doi:10.26804/ager.2018.04.07.</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Zel I., Kenessarin M., Kichanov S., et al. Pore Segmentation Techniques for Low-Resolution Data, Application to the Neutron Tomography Data of Cement Materials // J Imaging. 2022. Vol. 8, N 9. P. 242. doi:10.3390/jimaging8090242.</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Piovesan A., Achille C., Ameloot R., et al. Pore network model for permeability characterization of three-dimensionally-printed porous materials for passive microfluidics // Phys Rev E. 2019. Vol. 99, N 3. doi:10.1103/PhysRevE.99.033107.</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Md Ferdous A., Asadul H. A New Cluster Analysis-Marker-Controlled Watershed Method for Separating Particles of Granular Soils // Materials. 2017. Vol. 10, N 10. P. 1195. doi:10.3390/ma10101195.</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation>Soulaine C., Gjetvaj F., Garing C., et al. The Impact of Sub-Resolution Porosity of X-ray Microtomography Images on the Permeability // Transport in Porous Media. 2016. Vol. 113, N 1. P. 227–243. doi:10.1007/s11242-016-0690-2.</mixed-citation></ref><ref id="B7"><label>7.</label><mixed-citation>Bultreys T., Van Hoorebeke L., Cnudde V. Multi-scale, micro-computed tomography-based pore network models to simulate drainage in heterogeneous rocks // Adv Water Resour. 2015. Vol. 78. P. 36–49. doi:10.1016/j.advwatres.2015.02.003.</mixed-citation></ref><ref id="B8"><label>8.</label><mixed-citation>Raeini A.Q, Bijeljic B., Blunt M.J. Modelling two-phase flow in porous media at the pore scale using the volume-of-fluid method // J Comput Phys. 2012. Vol 231, N 17. P. 5653–5668.</mixed-citation></ref><ref id="B9"><label>9.</label><mixed-citation>Akasheva Zh.K., Bolysbek D.A., Assilbekov B.K. Study of carbonate rock dissolution using x-ray microcomputed tomography: impact of acid flow rate // News of the national academy of sciences of the republic of Kazakhstan series of geology and technical sciences. 2023. Vol. 1, N 457, 20–32. doi.org/10.32014/2023.2518-170X.256</mixed-citation></ref><ref id="B10"><label>10.</label><mixed-citation>Amira-Avizo Software [интернет]. Thermo Fisher Scientific [дата обращения: 28.04.2023]. Доступ по ссылке: https://www.fei.com/software/amira-avizo/.</mixed-citation></ref><ref id="B11"><label>11.</label><mixed-citation>Youssef S, Rosenberg E, Gland N., et al. High Resolution CT and Pore-Network Models to Assess Petrophysical Properties of Homogeneous and Heterogeneous Carbonates. SPE/EAGE Reservoir Characterization and Simulation Conference; 2007 Oct 28–31; Abu Dhabi, UAE. Paper Number: SPE-111427-MS.</mixed-citation></ref><ref id="B12"><label>12.</label><mixed-citation>Pnflow simulation code [интернет]. Github [дата обращения: 28.04.2023]. Доступ по ссылке: https://github.com/aliraeini/pnflow.</mixed-citation></ref></ref-list></back></article>
