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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">geores</journal-id><journal-title-group><journal-title xml:lang="ru">Георесурсы</journal-title><trans-title-group xml:lang="en"><trans-title>Georesources</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1608-5043</issn><issn pub-type="epub">1608-5078</issn><publisher><publisher-name>Georesursy LLC</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18599/grs.2023.4.4</article-id><article-id custom-type="elpub" pub-id-type="custom">geores-9</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>СТАТЬИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>RESEARCH ARTICLES</subject></subj-group></article-categories><title-group><article-title>Построение адаптивных гидродинамических моделей пониженного порядка на основе метода POD-DEIM</article-title><trans-title-group xml:lang="en"><trans-title>Construction of adaptive reduced-order reservoir models based on POD‑DEIM approach</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Волосков</surname><given-names>Д. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Voloskov</surname><given-names>D. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Дмитрий Сергеевич Волосков – инженер-исследователь</p><p>121025, Москва, Большой бульвар 30, стр. 1</p></bio><bio xml:lang="en"><p>Dmitry S. Voloskov – Research Engineer</p><p>30, build. 1, Moscow, 121025</p></bio><email xlink:type="simple">dmitry.voloskov@skoltech.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Коротеев</surname><given-names>Д. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Koroteev</surname><given-names>D. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Дмитрий Анатольевич Коротеев – кандидат физ.-мат. наук, профессор</p><p>121025, Москва, Большой бульвар, 30, стр. 1 </p></bio><bio xml:lang="en"><p>Dmitry A. Koroteev – PhD, Professor</p><p>30, build. 1, Moscow, 121025</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Сколковский институт науки и технологий</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Skolkovo Institute of Science and Technology</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>28</day><month>03</month><year>2024</year></pub-date><volume>25</volume><issue>4</issue><fpage>69</fpage><lpage>81</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Волосков Д.С., Коротеев Д.А., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Волосков Д.С., Коротеев Д.А.</copyright-holder><copyright-holder xml:lang="en">Voloskov D.S., Koroteev D.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.geors.ru/jour/article/view/9">https://www.geors.ru/jour/article/view/9</self-uri><abstract><p>Предложен метод построения адаптивных гидродинамических моделей пониженного порядка POD-DEIM для задач оптимизации разработки и адаптации к историческим данным, основанный на адаптации базисов ортогональных разложений к изменяющейся конфигурации модели. Метод предполагает использование информации, содержащейся в базисах исходной модели, и дополнение их новыми компонентами вместо построения последующих моделей с нуля. Применение адаптации базисов позволяет существенно снизить вычислительные затраты на построение моделей пониженного порядка и открывает возможность применения подобных моделей для задач, требующих множественных расчетов моделей с различными конфигурациями. В работе реализована модель POD-DEIM для задачи двухфазной фильтрации и рассмотрены примеры адаптации данной модели к изменениям конфигурации скважин и геологических свойств коллектора. Предложен обобщенный подход применения моделей POD-DEIM в комбинации с методом адаптации базисов для решения оптимизационных задач, таких как оптимизация разработки, выбор оптимальных расположения, геометрии и режима скважин, а также адаптация гидродинамических моделей к историческим данным.</p></abstract><trans-abstract xml:lang="en"><p>This paper introduces a method for constructing adaptive reduced-order reservoir simulation models based on the POD-DEIM approach for field development optimization and assisted history matching problems. The approach is based on adapting the orthogonal decompositions bases to the varying model configuration. The method utilizes information contained in the bases of the original model and supplements them with new components instead of constructing a new model from scratch. Adapting the bases significantly reduces the computational costs of building reduced-order models and allows the application of such models to tasks requiring multiple simulations with different configurations. The paper presents an implementation of the POD-DEIM model for a two-phase flow problem and discusses examples of adapting this model to changes in well configuration and geological properties of the reservoir. We propose a generalized approach using POD-DEIM models in combination with the bases adaptation technique to solve optimization problems, such as field development optimization, selection of the optimal well locations, geometries, and well regimes, as well as history matching.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>гидродинамическое моделирование</kwd><kwd>модели пониженного порядка</kwd><kwd>оптимизация разработки</kwd><kwd>адаптация к историческим данным</kwd></kwd-group><kwd-group xml:lang="en"><kwd>reservoir simulation</kwd><kwd>reduced order modelling</kwd><kwd>field development optimization</kwd><kwd>assisted history matching</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа поддержана Министерством науки и высшего образования Российской Федерации по соглашению № 075-10-2022-011 в рамках программы развития НЦМУ</funding-statement><funding-statement xml:lang="en">This work was supported by the Ministry of Science and Higher Education of the Russian Federation under agreement No. 075-10-2022-011 within the framework of the development program for a world-class Research Center.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Cardoso M. 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