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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="ru"><front><journal-meta><journal-id journal-id-type="publisher">Вестник нефтегазовой отрасли Казахстана</journal-id><journal-title-group><journal-title>Вестник нефтегазовой отрасли Казахстана</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">108727</article-id><article-id pub-id-type="doi">10.54859/kjogi108727</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Optimizing pipeline integrity management through customized risk modeling: a case study in Kazakhstan</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Adilova</surname><given-names>Diana</given-names></name><email>d_adilova@kbtu.kz</email><uri content-type="orcid">https://orcid.org/0009-0005-9703-9087</uri><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Mirzoev</surname><given-names>Abdugaffor</given-names></name><email>gmirzoev@rosen-group.com</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff id="aff-1">JSC Kazakh-British Technical University</aff><aff id="aff-2">ROSEN Europe B.V.</aff><pub-date date-type="epub" iso-8601-date="2024-07-12" publication-format="electronic"><day>12</day><month>07</month><year>2024</year></pub-date><volume>6</volume><issue>2</issue><fpage>77</fpage><lpage>87</lpage><history><pub-date date-type="received" iso-8601-date="2024-03-14"><day>14</day><month>03</month><year>2024</year></pub-date><pub-date date-type="accepted" iso-8601-date="2024-06-24"><day>24</day><month>06</month><year>2024</year></pub-date></history><permissions><copyright-statement>Copyright © 2024, Adilova D., Mirzoev A.</copyright-statement><copyright-year>2024</copyright-year></permissions><abstract>&lt;p&gt;&lt;strong&gt;Background:&lt;/strong&gt; Nowadays industry best practices demonstrate that routine evaluation of pipeline risk enables more efficient resource allocation, particularly by focusing efforts on critical areas. Consequently, process of analyzing the risks associated with operating different facilities in petroleum industry should be considered a fundamental prerequisite for decision-making, especially while managing pipeline network’s integrity. In the Republic of Kazakhstan, the current decision-making framework is founded upon the "technical condition" management model, which differs significantly from the risk-based approach prevalent in the international oil and gas industry. Moreover, as a result of the absence of the comprehensive failure statistics in the petroleum industry of the Republic of Kazakhstan, it makes it even more complicated to implement proper quantitative risk assessment.&lt;/p&gt;&#13;
&lt;p&gt;&lt;strong&gt;Aim:&lt;/strong&gt; This article aims to demonstrate how customized risk model can be developed to reflect specific conditions and challenges related with the working environment, dangers and threats, as well as data’s quality and availability in Kazakhstan.&lt;/p&gt;&#13;
&lt;p&gt;&lt;strong&gt;Materials and methods:&lt;/strong&gt; QPRAM (quantitative pipeline risk assessment model), industrial data for the given pipeline X.&lt;/p&gt;&#13;
&lt;p&gt;&lt;strong&gt;Results:&lt;/strong&gt; The model illustrates fundamental and most important risk factors at high-resolution intervals along the pipeline’s network and was calibrated using real data from the industry to ensure that the resulting risk profiles are reflective of the possible threats and existing operating experience in the given region.&lt;/p&gt;&#13;
&lt;p&gt;&lt;strong&gt;Conclusion:&lt;/strong&gt; Through the adoption of QPRAM's guiding concepts and methods, all parties in industry may strengthen operational resilience and safety standards against potential threats, protecting the long-term stability and dependability of critical infrastructure networks.&lt;/p&gt;</abstract><kwd-group xml:lang="en"><kwd>risk assessment</kwd><kwd>Quantitative Pipeline Risk Assessment Model</kwd><kwd>pipelines</kwd><kwd>hazards</kwd><kwd>threats</kwd><kwd>probabilities of failure</kwd><kwd>consequences of failure</kwd></kwd-group><kwd-group xml:lang="kk"><kwd>тәуекелдерді бағалау</kwd><kwd>құбыр жолдарының тәуекелдерін бағалаудың сандық моделі</kwd><kwd>құбырлар</kwd><kwd>қауіптілік</kwd><kwd>қауіп-қатер</kwd><kwd>бас тарту ықтималдығы</kwd><kwd>бас тартудың салдары</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>оценка рисков</kwd><kwd>количественная модель оценки рисков трубопровода</kwd><kwd>трубопроводы</kwd><kwd>опасности</kwd><kwd>угрозы</kwd><kwd>вероятности отказа</kwd><kwd>последствия отказа</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>The American Society of Mechanical Engineers. Managing system integrity of gas pipelines, B31.8S-2022. New York : ASME, 2022. 80 p.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>American Petroleum Institute. Managing System Integrity for Hazardous Liquid Pipelines. Washington D.C. : API, 2019.</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Результаты внедрения и перспективы развития системы управления целостностью МТ ККТ, KKT. Алматы : 2018. Доступ по ссылке: https://kcp.kz/corporate/ekspluataciya</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>safety.ru [интернет]. Промышленная безопасность. Реестр аварий на промышленных объектах [дата обращения 11.11.2023]. Доступ по ссылке: https://safety.ru/accidents/#/.</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>PECB. ISO 31000 Risk Management – Principles and Guidelines. Professional Evaluation and Certification Board. Montreal, Quebec : PECB, 2015.</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation>IGEM. IGEM/TD/2 Edition 2, Transmission and Distribution (TD) – Assessing the risks from high pressure natural gas pipelines. Derbyshire : IGEM, 2015.</mixed-citation></ref><ref id="B7"><label>7.</label><mixed-citation>DNV. DNV RP F116, Integrity Management of submarine pipeline systems. Høvik, Norway : DNV, 2021.</mixed-citation></ref><ref id="B8"><label>8.</label><mixed-citation>Philip N.S., Balmer D. Risk Based Pipeline Integrity Management System – A Case Study. Berlin : OnePetro, 2016.</mixed-citation></ref><ref id="B9"><label>9.</label><mixed-citation>Stephens M.J. A Model for Sizing High Consequence Areas associated with Natural Gas Pipelines. C-FER Technologies; Oct 2000. Topical report. Report No.: 99068. Contract No. 8174.</mixed-citation></ref></ref-list></back></article>
