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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">geophystech</journal-id><journal-title-group><journal-title xml:lang="ru">Геофизические технологии</journal-title><trans-title-group xml:lang="en"><trans-title>Russian Journal of Geophysical Technologies</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2619-1563</issn><publisher><publisher-name>IPGG SB RAS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18303/2619-1563-2024-1-83</article-id><article-id custom-type="elpub" pub-id-type="custom">geophystech-349</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></article-categories><title-group><article-title>Исследование особенностей микроструктуры баженовских отложений и выбор оптимальной модели для создания цифрового двойника породы</article-title><trans-title-group xml:lang="en"><trans-title>Research of the microstructure features of Bazhenov deposits and selection of the optimal model for creating a digital twin of the rock</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0003-7169-1347</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ускова</surname><given-names>Е. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Uskova</surname><given-names>E. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>УСКОВА Елена Игоревна – магистр, </p><p>121205, Москва, тер. инновационного центра Сколково, Большой б-р, д. 30, стр. 1.</p></bio><bio xml:lang="en"><p>30, bld. 1, Bolshoy b-r, Skolkovo Innovation Center, Moscow, 121205.</p></bio><email xlink:type="simple">elena.uskova@skoltech.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0002-3423-8570</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бурухин</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Burukhin</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>БУРУХИН Александр Александрович – старший научный сотрудник , </p><p>121205, Москва, тер. инновационного центра Сколково, Большой б-р, д. 30, стр. 1.</p></bio><bio xml:lang="en"><p>30, bld. 1, Bolshoy b-r, Skolkovo Innovation Center, Moscow, 121205.</p></bio><email xlink:type="simple">A.Burukhin@skoltech.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3580-9120</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Черемисин</surname><given-names>А. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Cheremisin</surname><given-names>A. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>ЧЕРЕМИСИН Алексей Николаевич – профессор, </p><p>121205, Москва, тер. инновационного центра Сколково, Большой б-р, д. 30, стр. 1.</p></bio><bio xml:lang="en"><p>30, bld. 1, Bolshoy b-r, Skolkovo Innovation Center, Moscow, 121205.</p></bio><email xlink:type="simple">A.Cheremisin@skoltech.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Сколковский институт науки и технологии<country>Россия</country></aff><aff xml:lang="en">Skolkovo Institute of Science and Technology<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>18</day><month>07</month><year>2024</year></pub-date><volume>0</volume><issue>1</issue><issue-title>Спецвыпуск</issue-title><fpage>83</fpage><lpage>91</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ускова Е.И., Бурухин А.А., Черемисин А.Н., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Ускова Е.И., Бурухин А.А., Черемисин А.Н.</copyright-holder><copyright-holder xml:lang="en">Uskova E.I., Burukhin A.A., Cheremisin A.N.</copyright-holder><license 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.rjgt.ru/jour/article/view/349">https://www.rjgt.ru/jour/article/view/349</self-uri><abstract><p>Проведено исследование пространственной микроструктуры образцов баженовской свиты по данным FIB-SEM для подготовки цифровой модели и расчета фильтрационно-емкостных свойств. Цифровое моделирование керна направлено на дополнение традиционных лабораторных исследований образцов горных пород возможностями вычислительного эксперимента и позволяет не только прогнозировать количество углеводородов, которые могут быть извлечены из месторождения, но и планировать оптимальные методы его разработки. Возможности технологии цифрового керна апробированы на высокопроницаемых породах, в то время как для нетрадиционных остаются вопросы к выбору и описанию пористой среды, связанные, в первую очередь, с необходимостью перехода на субмикронный и наномасштаб. В рамках настоящего исследования показаны сложности, связанные с подготовкой цифровой модели на основе FIB-SEM материала баженовской свиты, а также моделированием и валидацией свойств.</p></abstract><trans-abstract xml:lang="en"><p>The spatial microstructure of the Bazhenov Formation samples was studied according to FIB-SEM data to prepare a digital model and calculate filtration-capacitance properties. Digital core modeling is aimed at complementing traditional laboratory studies of rock samples with computational experiment capabilities and allows not only to predict the amount of hydrocarbons that can be extracted from a field, but also to plan optimal methods for its development. The possibilities of digital core technology have been tested on highly permeable rocks, while for non-traditional ones there are still questions about the choice and description of a porous medium, primarily related to the need to switch to the submicron and nano scale. The present study shows the difficulties associated with the preparation of a digital model based on FIB-SEM material of the Bazhenov Formation, as well as modeling and validation of properties.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>цифровой керн</kwd><kwd>баженовская свита</kwd><kwd>нетрадиционные коллектора</kwd><kwd>кероген</kwd><kwd>FIB-SEM</kwd></kwd-group><kwd-group xml:lang="en"><kwd>digital core</kwd><kwd>Bazhenov Formation</kwd><kwd>unconventional reservoirs</kwd><kwd>kerogen</kwd><kwd>FIB-SEM</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Балашов А.В., Савенков Е.Б. Цифровой керн. Моделирование кернотечений в поровом пространстве пород коллекторов // Деловой журнал Neftegaz.RU. 2019. № 7. С. 80–85.</mixed-citation><mixed-citation xml:lang="en">Balashov A.V., Savenkov E.B. Digital core. 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