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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.2024.2.7</article-id><article-id custom-type="elpub" pub-id-type="custom">geores-268</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>О связи коэффициента Пуассона с геофизическими характеристиками горных пород</article-title><trans-title-group xml:lang="en"><trans-title>On the relationship of Poisson’s ratio with geophysical characteristics of rocks</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>Шустов</surname><given-names>Д. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Shustov</surname><given-names>D. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Денис Владимирович Шустов – кандидат тех. наук, доцент, ведущий научный сотрудник</p><p>614990, Пермь, Комсомольский пр., д. 29</p></bio><bio xml:lang="en"><p>Denis V. Shustov – Cand. Sci. (Engineering), Associate Professor, Leading Researcher</p><p>29, Komsomolsky pr., Perm, 614990</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кашников</surname><given-names>Ю. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kashnikov</surname><given-names>Yu. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Юрий Александрович Кашников – доктор тех. наук, профессор, зав. кафедрой МДГиГИс</p><p>614990, Пермь, Комсомольский пр., д. 29</p></bio><bio xml:lang="en"><p>Yurii A. Kashnikov – Dr. Sci. (Engineering), Professor, Head of Mine Surveying, Geodesy and Geographic Information Systems Department</p><p>29, Komsomolsky pr., Perm, 614990</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кухтинский</surname><given-names>А. Э.</given-names></name><name name-style="western" xml:lang="en"><surname>Kukhtinskii</surname><given-names>A. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Артем Эдуадрович Кухтинский – старший научный сотрудник</p><p>614990, г. Пермь, Комсомольский пр., д. 29</p></bio><bio xml:lang="en"><p>Artem E. Kukhtinskii – Senior Researcher</p><p>29, Komsomolsky pr., Perm, 614990</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ефимов</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Efimov</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Артём Александрович Ефимов – кандидат геол.- минерал. наук, старший научный сотрудник</p><p>614990, Пермь, Комсомольский пр., д. 29</p></bio><bio xml:lang="en"><p>Artyom A. Efimov – Cand. Sci. (Geology and Mineralogy), Senior Researcher</p><p>29, Komsomolsky pr., Perm, 614990</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Пермский национальный исследовательский политехнический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Perm National Research Polytechnic University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>07</day><month>07</month><year>2024</year></pub-date><volume>26</volume><issue>2</issue><elocation-id>69–75</elocation-id><permissions><copyright-statement>Copyright &amp;#x00A9; Шустов Д.В., Кашников Ю.А., Кухтинский А.Э., Ефимов А.А., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Шустов Д.В., Кашников Ю.А., Кухтинский А.Э., Ефимов А.А.</copyright-holder><copyright-holder xml:lang="en">Shustov D.V., Kashnikov Y.A., Kukhtinskii A.E., Efimov A.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/268">https://www.geors.ru/jour/article/view/268</self-uri><abstract><p>В настоящее время отсутствуют надежные универсальные зависимости коэффициента Пуассона от геомеханических и геофизических характеристик продуктивных объектов. В работе исследовано влияние геофизических параметров на коэффициент Пуассона для продуктивных объектов нефтяных месторождений с применением методов машинного обучения. Анализ проводился на основе данных нескольких нефтяных и газовых месторождений, для которых получены зависимости коэффициента Пуассона от естественной радиоактивности пород и скорости продольной волны. Эти зависимости установлены на основе данных трехосных испытаний образцов в пластовых условиях, проведенных на установке ПИК-уИДК/ПЛ в Пермском национальном исследовательском политехническом университете. Кроме того, дан краткий обзор существующих стандартов по проведению трехосных испытаний. В работе отмечена важность стандартизации методов определения коэффициента Пуассона и других упругих параметров пород для обеспечения сравнимости результатов исследований различных месторождений и их применимости в различных геологических условиях. Предложенный метод анализа данных основан на использовании линейной регрессии и методов машинного обучения для установления стабильных уравнений связи между коэффициентом Пуассона и геофизическими параметрами, полученными с помощью различных геофизических исследований скважин. Эти зависимости позволяют более точно оценивать коэффициент Пуассона для различных типов пород и месторождений, что является важным шагом в развитии методов оценки упругих свойств пород на нефтяных месторождениях. Полученные результаты могут быть использованы для более точного моделирования и прогнозирования процессов разработки нефтяных месторождений, что способствует повышению эффективности добычи углеводородов и оптимизации производственных процессов в нефтяной промышленности.</p></abstract><trans-abstract xml:lang="en"><p>Currently, there are no reliable universal dependencies of the Poisson’s ratio on the geomechanical and geophysical characteristics of productive objects. This study aims to investigate the influence of geophysical parameters on the Poisson’s ratio for oilfield productive objects using machine learning methods. The analysis is based on data from several oil and gas fields, presenting results of dependencies between the Poisson’s ratio and parameters such as natural radioactivity of rocks and P-wave velocity. The elastic parameters were identified through triaxial tests of rock samples under reservoir conditions conducted on the PIK-UIDK/PL triaxial system at Perm National Research Polytechnic University. A brief overview of existing standards for conducting triaxial tests is also provided. The importance of standardizing methods for determining the Poisson’s ratio and other elastic parameters of rocks is emphasized to ensure comparability of research results from different fields and their applicability in various geological conditions. The proposed data analysis method relies on linear regression and machine learning methods to establish stable relationships between the Poisson’s ratio and geophysical parameters obtained from various well logging studies. These dependencies allow for more accurate estimation of the Poisson’s ratio for different types of rocks and fields, representing a significant step in developing methods for assessing elastic properties of rocks in oil fields. The obtained results can be used for more precise modeling and forecasting of oil field development processes, contributing to increased efficiency in hydrocarbon extraction and optimization of production processes in the oil industry.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>коэффициент Пуассона</kwd><kwd>геомеханика</kwd><kwd>трехосные испытания</kwd><kwd>машинное обучение</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Poisson’s ratio</kwd><kwd>geomechanics</kwd><kwd>triaxial tests</kwd><kwd>machine learning</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">ГосТ 21153.8-88. Породы горные. Метод определения предела прочности при объемном сжатии. (1988). М.: Изд-во стандартов, 17 с.</mixed-citation><mixed-citation xml:lang="en">Asoodeh M. (2013). Prediction of Poisson’s Ratio from Conventional Well Log Data: A Committee Machine with Intelligent Systems Approach. 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