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    <journal-meta>
      <journal-id journal-id-type="issn">2411-3336</journal-id>
      <journal-id journal-id-type="eissn">2541-9404</journal-id>
      <journal-title-group>
        <journal-title xml:lang="ru">Записки Горного института</journal-title>
        <journal-title xml:lang="en">Journal of Mining Institute</journal-title>
      </journal-title-group>
      <publisher>
        <publisher-name xml:lang="ru">Санкт-Петербургский горный университет императрицы Екатерины ΙΙ</publisher-name>
        <publisher-name xml:lang="en">Empress Catherine II Saint Petersburg Mining University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id custom-type="edn" pub-id-type="custom">OLPTNY</article-id>
      <article-id custom-type="pmi" pub-id-type="custom">pmi-16651</article-id>
      <article-id pub-id-type="uri">https://pmi.spmi.ru/pmi/article/view/16651</article-id>
      <article-categories>
        <subj-group subj-group-type="section-heading" xml:lang="ru">
          <subject>Геотехнология и инженерная геология</subject>
        </subj-group>
        <subj-group subj-group-type="section-heading" xml:lang="en">
          <subject>Geotechnical Engineering and Engineering Geology</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title xml:lang="en">Application of machine learning to modeling Herschel – Bulkley drilling fluid parameters for optimizing wellbore cleaning</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Применение машинного обучения при моделировании параметров бурового раствора реологической модели Гершеля – Балкли  для оптимизации промывки скважины</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="eastern">
            <surname>Nikitin</surname>
            <given-names>Vasiliy I.</given-names>
          </name>
          <name-alternatives>
            <name name-style="eastern" xml:lang="ru">
              <surname>Никитин</surname>
              <given-names>В. И.</given-names>
            </name>
            <name name-style="western" xml:lang="en">
              <surname>Nikitin</surname>
              <given-names>Vasiliy I.</given-names>
            </name>
          </name-alternatives>
          <email>nikitin_vi@pers.spmi.ru</email>
          <contrib-id contrib-id-type="orcid">0000-0002-1332-2485</contrib-id>
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          <aff>
            <institution xml:lang="ru">Санкт-Петербургский горный университет императрицы Екатерины II (Санкт-Петербург, Россия)</institution>
          </aff>
          <aff>
            <institution xml:lang="en">Empress Catherine II Saint Petersburg Mining University (Saint Petersburg, Russia)</institution>
          </aff>
        </aff-alternatives>
        <contrib contrib-type="author">
          <name name-style="eastern">
            <surname>Dvoynikov</surname>
            <given-names>Mikhail V.</given-names>
          </name>
          <name-alternatives>
            <name name-style="eastern" xml:lang="ru">
              <surname>Двойников</surname>
              <given-names>М. В.</given-names>
            </name>
            <name name-style="western" xml:lang="en">
              <surname>Dvoynikov</surname>
              <given-names>Mikhail V.</given-names>
            </name>
          </name-alternatives>
          <email>dvoynikov_mv@pers.spmi.ru</email>
          <contrib-id contrib-id-type="orcid">0000-0002-3798-9938</contrib-id>
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        </contrib>
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          <aff>
            <institution xml:lang="ru">Санкт-Петербургский горный университет императрицы Екатерины II (Санкт-Петербург, Россия)</institution>
          </aff>
          <aff>
            <institution xml:lang="en">Empress Catherine II Saint Petersburg Mining University (Saint Petersburg, Russia)</institution>
          </aff>
        </aff-alternatives>
        <contrib contrib-type="author">
          <name name-style="eastern">
            <surname>Kupavykh</surname>
            <given-names>Kirill S.</given-names>
          </name>
          <name-alternatives>
            <name name-style="eastern" xml:lang="ru">
              <surname>Купавых</surname>
              <given-names>К. С.</given-names>
            </name>
            <name name-style="western" xml:lang="en">
              <surname>Kupavykh</surname>
              <given-names>Kirill S.</given-names>
            </name>
          </name-alternatives>
          <email>Kupavykh_KS@pers.spmi.ru</email>
          <contrib-id contrib-id-type="orcid">0000-0002-6759-5614</contrib-id>
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        </contrib>
        <aff-alternatives id="aff3">
          <aff>
            <institution xml:lang="ru">Санкт-Петербургский горный университет императрицы Екатерины II (Санкт-Петербург, Россия)</institution>
          </aff>
          <aff>
            <institution xml:lang="en">Empress Catherine II Saint Petersburg Mining University (Saint Petersburg, Russia)</institution>
          </aff>
        </aff-alternatives>
        <contrib contrib-type="author">
          <name name-style="eastern">
            <surname>Panteleeva</surname>
            <given-names>Tatiana A.</given-names>
          </name>
          <name-alternatives>
            <name name-style="eastern" xml:lang="ru">
              <surname>Пантелеева</surname>
              <given-names>Т. А.</given-names>
            </name>
            <name name-style="western" xml:lang="en">
              <surname>Panteleeva</surname>
              <given-names>Tatiana A.</given-names>
            </name>
          </name-alternatives>
          <email>panteleeva_TA@pers.spmi.ru</email>
          <contrib-id contrib-id-type="orcid">0009-0000-7468-7528</contrib-id>
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            <institution xml:lang="ru">Санкт-Петербургский горный университет императрицы Екатерины II (Санкт-Петербург, Россия)</institution>
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          <aff>
            <institution xml:lang="en">Empress Catherine II Saint Petersburg Mining University (Saint Petersburg, Russia)</institution>
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      <pub-date pub-type="epub" iso-8601-date="2025-10-10">
        <day>10</day>
        <month>10</month>
        <year>2025</year>
      </pub-date>
      <pub-date date-type="collection">
        <year>2025</year>
      </pub-date>
      <volume>275</volume>
      <fpage>70</fpage>
      <lpage>80</lpage>
      <history>
        <date date-type="received" iso-8601-date="2025-01-28">
          <day>28</day>
          <month>01</month>
          <year>2025</year>
        </date>
        <date date-type="accepted" iso-8601-date="2025-07-02">
          <day>02</day>
          <month>07</month>
          <year>2025</year>
        </date>
        <date date-type="rev-recd" iso-8601-date="2025-10-31">
          <day>31</day>
          <month>10</month>
          <year>2025</year>
        </date>
      </history>
      <permissions>
        <copyright-statement xml:lang="ru">© 2025 В. И. Никитин, М. В. Двойников, К. С. Купавых, Т. А. Пантелеева</copyright-statement>
        <copyright-statement xml:lang="en">© 2025 Vasiliy I. Nikitin, Mikhail V. Dvoynikov, Kirill S. Kupavykh, Tatiana A. Panteleeva</copyright-statement>
        <copyright-year>2025</copyright-year>
        <copyright-holder xml:lang="ru">В. И. Никитин, М. В. Двойников, К. С. Купавых, Т. А. Пантелеева</copyright-holder>
        <copyright-holder xml:lang="en">Vasiliy I. Nikitin, Mikhail V. Dvoynikov, Kirill S. Kupavykh, Tatiana A. Panteleeva</copyright-holder>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0" xml:lang="ru">
          <license-p>Эта статья доступна по лицензии Creative Commons Attribution 4.0 International (CC BY 4.0)</license-p>
        </license>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0" xml:lang="en">
          <license-p>This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0)</license-p>
        </license>
      </permissions>
      <self-uri xlink:type="simple" xlink:href="https://pmi.spmi.ru/pmi/article/view/16651">https://pmi.spmi.ru/pmi/article/view/16651</self-uri>
      <abstract xml:lang="ru">
        <p>Буровые промывочные жидкости на водной и углеводородной основах представляют собой полидисперсные нелинейно-вязкие системы, напряженное состояние которых качественно описывается реологической моделью Гершеля – Балкли. В данной работе выдвинута гипотеза о том, что повышение качества выноса шлама может быть достигнуто путем выбора наиболее эффективной комбинации трех параметров реологической модели при проектировании свойств бурового раствора – начального напряжения сдвига, коэффициента консистенции и показателя нелинейности модели. Определение эффективной комбинации реологических параметров модели Гершеля – Балкли для обеспечения равномерного профиля скоростей осуществлялось методами корреляционного и регрессионного анализов и методом машинного обучения. Расчетная часть работы проведена в пакете символьных вычислений Wolfram Mathematica. Определены детерминированные участки зависимости количественного показателя равномерности профиля скоростей от реологических коэффициентов. Для удобства инженерных расчетов построена линейная математическая модель, отражающая связь модифицированного коэффициента эксцесса от коэффициентов трехпараметрического реологического уравнения Гершеля – Балкли. Предложенную методику можно рекомендовать для проектирования новых буровых промывочных систем и тестирования существующих для заданных технологических параметров промывки скважины.</p>
      </abstract>
      <abstract xml:lang="en">
        <p>Water- and oil-based drilling fluids are polydisperse non-Newtonian systems, the stress state of which is adequately described by the Herschel – Bulkley rheological model. This study hypothesizes that cuttings transport efficiency can be improved by selecting the most effective combination of the three parameters of the rheological model – yield stress, consistency index, and flow behavior index – when designing drilling fluid properties. The effective parameter combination of the Herschel – Bulkley model for achieving a uniform velocity profile was determined using correlation and regression analysis methods as well as machine learning techniques. The computational part of the work was performed in the Wolfram Mathematica symbolic calculation package. Deterministic regions of the dependence of the velocity profile uniformity index on the rheological coefficients were identified. For practical engineering calculations, a linear mathematical model was constructed to represent the relationship between the modified excess coefficient and the parameters of the three-parameter Herschel – Bulkley rheological equation. The proposed methodology can be recommended for designing new drilling fluid systems and testing existing ones under given wellbore cleaning conditions.</p>
      </abstract>
      <kwd-group xml:lang="ru">
        <title>Ключевые слова</title>
        <kwd>бурение скважин</kwd>
        <kwd>буровой раствор</kwd>
        <kwd>промывка скважин</kwd>
        <kwd>реологические модели</kwd>
        <kwd>качество выноса шлама</kwd>
        <kwd>неньютоновская жидкость</kwd>
        <kwd>нейронная сеть</kwd>
        <kwd>машинное обучение</kwd>
        <kwd>математическое моделирование</kwd>
      </kwd-group>
      <kwd-group xml:lang="en">
        <title>Keywords</title>
        <kwd>well drilling</kwd>
        <kwd>drilling mud</kwd>
        <kwd>wellbore cleaning</kwd>
        <kwd>rheological models</kwd>
        <kwd>cuttings removal quality</kwd>
        <kwd>non-Newtonian fluid</kwd>
        <kwd>neural network</kwd>
        <kwd>machine learning</kwd>
        <kwd>mathematical modeling</kwd>
      </kwd-group>
    </article-meta>
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  <body/>
  <back>
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