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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">99689</article-id><article-id pub-id-type="doi">10.54859/kjogi99689</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Implementation of stochastic inversion method using pseudo-wells based on an example from oil field located in South Torgay sedimentary basin</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Sadykov</surname><given-names>A. D.</given-names></name><email>asadykov@niikmg.kz</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff id="aff-1">KMG Engineering LLP</aff><pub-date date-type="epub" iso-8601-date="2021-12-15" publication-format="electronic"><day>15</day><month>12</month><year>2021</year></pub-date><volume>3</volume><issue>4</issue><fpage>25</fpage><lpage>31</lpage><history><pub-date date-type="received" iso-8601-date="2022-01-28"><day>28</day><month>01</month><year>2022</year></pub-date><pub-date date-type="accepted" iso-8601-date="2022-01-28"><day>28</day><month>01</month><year>2022</year></pub-date></history><permissions><copyright-statement>Copyright © 2021, Sadykov A.D.</copyright-statement><copyright-year>2021</copyright-year></permissions><abstract>&lt;p&gt;Development of modern inversion transformations in seismic data interpretation area is associated with strive of getting full insight on structure of the explored and developed accumulations using simple, fast and efficient methods. Nature of current seismic inversion methods is variable; therefore, choice of inversion technology conditioned by target that needs to be achieved, as well as, reservoir parameters, amount and quality of data. Of course, time limits set to find optimal solution must be taken into account, since they are guided by industry needs.&lt;/p&gt;&#13;
&lt;p&gt;In the present paper, we reviewed implementation of the stochastic inversion method based on pseudo-wells that are estimated for a trace of extended elastic inversion (EEI) for purpose to find best-fitting solution for a given trace based on an example for an oil field located within South Torgay sedimentary basin. This method could be interesting for mapping of specified litho-types, clarification of the geological model, precise placement of the appraisal well drilling locations etc.&lt;/p&gt;&#13;
&lt;p&gt;Method and productivity were evaluated based on time and existing computing power.&lt;/p&gt;</abstract><kwd-group xml:lang="en"><kwd>Stochastic inversion</kwd><kwd>extended elastic impedance</kwd><kwd>colored inversion</kwd><kwd>pseudo-wells</kwd></kwd-group><kwd-group xml:lang="kk"><kwd>стохастикалық инверсия</kwd><kwd>кеңейтілген серпімді импеданс</kwd><kwd>түсті инверсия</kwd><kwd>псевдоұңғыма</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>стохастическая инверсия</kwd><kwd>расширенный упругий импеданс</kwd><kwd>цветная инверсия</kwd><kwd>псевдоскважины</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Ayeni G., Huck A. and De Groot P.. Extending reservoir property prediction with pseudo-wells. – First Brake, 2008.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Whitcombe D.N., Connoly P.A., et al. Extended elastic impedance for fluid and lithology prediction. – Geophysics, v. 67, 2002.</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Detection of gas in sandstone reservoirs using AVO analysis: A 3-D seismic case history using the Geostack technique. – https://doi.org/10.1190/1.1443695.</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Batzle M.and Wang Z.. Seismic properties for pore fluids. – Geophysics, v. 57, 1992.</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Connolly P.A. and Hughes M.J.. Stochastics inversion by matching to large numbers of pseudo-wells. – Geophysics, 2016, v. 81, р. M7-M22. DOI https://doi.org/10.1190/geo2014-0582.1</mixed-citation></ref></ref-list></back></article>
