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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="en"><front><journal-meta><journal-id journal-id-type="publisher">Kazakhstan journal for oil &amp; gas industry</journal-id><journal-title-group><journal-title>Kazakhstan journal for oil &amp; gas industry</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">108824</article-id><article-id pub-id-type="doi">10.54859/kjogi108824</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Creation of a PVT model for a reservoir under data uncertainty</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Dukessova</surname><given-names>Nadezhda K.</given-names></name><email>n.dukessova@kmge.kz</email><uri content-type="orcid">https://orcid.org/0009-0009-7198-731X</uri><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Kunzharikova</surname><given-names>Klara M.</given-names></name><bio>&lt;p&gt;Cand. Sc. (Engineering)&lt;/p&gt;</bio><email>k.kunzharikova@kmge.kz</email><uri content-type="orcid">https://orcid.org/0009-0002-5121-0123</uri><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Abekesh</surname><given-names>Gulbakyt Zh.</given-names></name><email>g.abekesh@kmge.kz</email><uri content-type="orcid">https://orcid.org/0009-0006-2242-739X</uri><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Bektas</surname><given-names>Gaukhar Zh.</given-names></name><email>g.bektas@kmge.kz</email><uri content-type="orcid">https://orcid.org/0000-0002-5991-7978</uri><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Bissikenova</surname><given-names>Laura M.</given-names></name><email>l.bissikenova@kmge.kz</email><uri content-type="orcid">https://orcid.org/0009-0008-6294-7773</uri><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Yeltay</surname><given-names>Gyuzel G.</given-names></name><email>g.yeltay@kmge.kz</email><uri content-type="orcid">https://orcid.org/0000-0003-3547-767X</uri><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff id="aff-1">KMG Engineering</aff><pub-date date-type="epub" iso-8601-date="2025-09-26" publication-format="electronic"><day>26</day><month>09</month><year>2025</year></pub-date><volume>7</volume><issue>3</issue><fpage>105</fpage><lpage>115</lpage><history><pub-date date-type="received" iso-8601-date="2025-02-25"><day>25</day><month>02</month><year>2025</year></pub-date><pub-date date-type="accepted" iso-8601-date="2025-08-22"><day>22</day><month>08</month><year>2025</year></pub-date></history><permissions><copyright-statement>Copyright © 2025, Dukessova N.K., Kunzharikova K.M., Abekesh G.Z., Bektas G.Z., Bissikenova L.M., Yeltay G.G.</copyright-statement><copyright-year>2025</copyright-year></permissions><abstract>&lt;p&gt;&lt;strong&gt;Background&lt;/strong&gt;&lt;strong&gt;: &lt;/strong&gt;PVT modeling is a critical step in reserve estimation and reservoir simulation of oil and gas fields. Accurate reproduction of fluid properties under different pressure–temperature conditions increases confidence in calculations and improves production forecasts. The accuracy of a PVT model largely depends on the quality of laboratory fluid data, while inconsistencies or errors in experimental results can reduce the reliability of calculated parameters.&lt;/p&gt;&#13;
&lt;p&gt;&lt;strong&gt;Aim&lt;/strong&gt;&lt;strong&gt;: &lt;/strong&gt;To evaluate the quality and reliability of laboratory data on reservoir fluids from the Cretaceous horizons and to validate consistent PVT regions for model development.&lt;/p&gt;&#13;
&lt;p&gt;&lt;strong&gt;Materials&lt;/strong&gt;&lt;strong&gt; and methods:&lt;/strong&gt; The quality and reliability of laboratory studies were evaluated using PVTsim software and methodological guidelines for validating reservoir fluid properties, where fluid composition and properties were analyzed based on equations of state.&lt;/p&gt;&#13;
&lt;p&gt;&lt;strong&gt;Results&lt;/strong&gt;&lt;strong&gt;: &lt;/strong&gt;Analysis of bottomhole and recombined samples showed clear relationships between reservoir fluid properties. Several PVT regions with distinct characteristics were identified. Comparison of simulation results with laboratory data revealed discrepancies, particularly in the measured density of Albian horizon oil. Reservoir oil parameters were adjusted using the PVT model.&lt;/p&gt;&#13;
&lt;p&gt;&lt;strong&gt;Conclusion&lt;/strong&gt;&lt;strong&gt;:&lt;/strong&gt; This approach removed unreliable laboratory data, provided a more accurate description of reservoir fluid properties, and updated calculation parameters to refine resource estimates.&lt;/p&gt;</abstract><kwd-group xml:lang="en"><kwd>bottomhole samples</kwd><kwd>recombined samples</kwd><kwd>reservoir oil properties</kwd><kwd>PVT model of reservoir fluids</kwd><kwd>equation of state</kwd></kwd-group><kwd-group xml:lang="kk"><kwd>тереңдік сынамалары</kwd><kwd>рекомбинацияланған сынамалар</kwd><kwd>қабат мұнайының қасиеттері</kwd><kwd>қабат флюидтерінің PVT-моделі</kwd><kwd>күй теңдеуі</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>глубинные пробы</kwd><kwd>рекомбинированные пробы</kwd><kwd>свойства пластовой нефти</kwd><kwd>PVT-модель пластовых флюидов</kwd><kwd>уравнение состояния</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Yushchenko TS, Brusilovsky AI. A step-by-step approach to creating and tuning PVT-models of reservoir hydrocarbon systems based on the state equation. Georesources. 2022;24(3):164–181. doi: 10.18599/grs.2022.3.14. (In Russ).</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Brusilovskiy AI, Yushchenko TS. Two-phase deposits: Methodology approach to the identification of composition and PVT properties of reservoir hydrocarbon fluids using limited initial information. PROneft. Professionally about Oil. 2016;(1):68–74. (In Russ).</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>KMG Engineering. Regulation on the justification of the properties and composition of reservoir fluid. Astana, 2022.</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Bylinkin GP, Guzhikov PA. Zavisimost’ svoystv plastovoy nefti ot vida razgazirovaniya. Russian Oil and Gas Geolody. 2008;3:31–36. (In Russ).</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Guzhikov PA, Kunzharikova KM, Uteubayeva YY. Methodological approaches to justification of reservoir oil properties for estimation of reserves. Kazakhstan journal for oil &amp; gas industry. 2020;2(2):71–79. doi: 10.54859/kjogi95660.</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation>Bylinkin GP, Brusilovskiy AI. Novyy podkhod k otsenke stepeni nasyshchennosti plastovykh neftyanykh I gazokondensatnykh smesey I kriteriyev ikh phazovogo sostoyaniya. Russian Oil and Gas Geolody. 1991;9:14–18.</mixed-citation></ref></ref-list></back></article>
