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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">tizza</journal-id><journal-title-group><journal-title xml:lang="ru">Трудноизвлекаемые запасы</journal-title><trans-title-group xml:lang="en"><trans-title>Hard-to-recover reserves</trans-title></trans-title-group></journal-title-group><publisher><publisher-name>Высшая школа нефти</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">tizza-29</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>Сравнительный анализ методов моделирования трещиноватых коллекторов: от дискретных моделей трещин к апскейлингу в модели двойной среды и одинарной пористости</article-title><trans-title-group xml:lang="en"><trans-title>Comparative analysis of fractured reservoir modeling methods: from discrete fracture networks to upscaling into dual-porosity and single-porosity models</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>Терентьев</surname><given-names>А. А.</given-names></name></name-alternatives><email xlink:type="simple">a.terentev@agni-rt.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Альметьевский государственный технологический университет «Высшая школа нефти»</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>30</day><month>06</month><year>2026</year></pub-date><volume>1</volume><issue>2</issue><fpage>16</fpage><lpage>22</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Терентьев А.А., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Терентьев А.А.</copyright-holder><copyright-holder xml:lang="en">Терентьев А.А.</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://xn--g1abxh.xn----8sbeg1c7ah8a.xn--p1ai/jour/article/view/29">https://xn--g1abxh.xn----8sbeg1c7ah8a.xn--p1ai/jour/article/view/29</self-uri><abstract><p>В статье рассматриваются подходы к гидродинамическому моделированию трещиновато-пористых коллекторов. Цель работы – сравнительный анализ трёх моделей (EDFM, двойной проницаемости и одинарной пористости) по времени расчёта, возможности адаптации интегральных технологических показателей и способности воспроизводить пространственную выработку запасов.  Исследование выполнено на тестовой модели с 25 трещинами (апертура 3 мм, проницаемость трещин 100 Д, проницаемость матрицы 1 мД). Модель двойной проницаемости и модель одинарной пористости адаптировались под EDFM через модификацию сигма-фактора, проницаемости и концевых точек относительных фазовых проницаемостей. Для ремасштабирования свойств DFN в модель двойной среды использовался метод flow-based upscaling. Установлено, что по времени расчёта модель двойной проницаемости и модель одинарной пористости быстрее модели EDFM. Адаптация интегральных технологических показателей может быть выполнена успешно для обеих упрощённых моделей. Однако пространственная выработка запасов (карты массовых подвижных запасов нефти) при этом оказывается разной для каждого подхода. Результаты показывают, что адаптации только по интегральным показателям недостаточно для прогноза выработки запасов.</p></abstract><trans-abstract xml:lang="en"><p>The article discusses approaches to hydrodynamic modeling of fractured porous reservoirs. The purpose of the work is a comparative analysis of three models (EDFM, dual permeability, and single porosity) in terms of computational time, the possibility of adapting integral technological indicators, and the ability to reproduce spatial reserve depletion patterns. The study was performed on a synthetic test model with 25 fractures (aperture 3 mm, fracture permeability 100 D, matrix permeability 1 mD). The dual-permeability and single-porosity models were calibrated to the reference EDFM model by modifying the sigma factor, permeability, and endpoints of relative permeability curves. The flow-based upscaling method was used to upscale properties from the discrete fracture network (DFN) to the dual-medium model. It was found that the dual-permeability and single-porosity models are faster than EDFM in terms of computational time. Calibration of integral production indicators can be successfully accomplished for both simplified models. However, the spatial pattern of reserve depletion (maps of mobile oil reserves) differs for each approach. The results show that calibration based on integral indicators alone is insufficient for predicting reserve depletion patterns.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>трещиновато-пористый коллектор</kwd><kwd>DFN</kwd><kwd>DFM</kwd><kwd>EDFM</kwd><kwd>модель двойной пористости</kwd><kwd>адаптация</kwd><kwd>flow-based upscaling</kwd><kwd>пространственная выработка запасов</kwd><kwd>гидродинамическое моделирование</kwd></kwd-group><kwd-group xml:lang="en"><kwd>fractured porous reservoir</kwd><kwd>DFN</kwd><kwd>DFM</kwd><kwd>EDFM</kwd><kwd>dual porosity model</kwd><kwd>calibration</kwd><kwd>flow-based upscaling</kwd><kwd>spatial reserve depletion</kwd><kwd>hydrodynamic modeling</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">Chen T., Sheng H., Zhang Y., Kang F. (2025). 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