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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">proneft</journal-id><journal-title-group><journal-title xml:lang="ru">PROНЕФТЬ. Профессионально о нефти</journal-title><trans-title-group xml:lang="en"><trans-title>PROneft. Professionally about Oil</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2587-7399</issn><issn pub-type="epub">2588-0055</issn><publisher><publisher-name>«Газпром нефть»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.51890/2587-7399-2021-6-1-33-39</article-id><article-id custom-type="elpub" pub-id-type="custom">proneft-7</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>РАЗРАБОТКА И ЭКСПЛУАТАЦИЯ НЕФТЯНЫХ МЕСТОРОЖДЕНИЙ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>DEVELOPMENT AND OPERATION OF OIL FIELDS</subject></subj-group></article-categories><title-group><article-title>Классификация остаточных извлекаемых и невовлекаемых запасов нефти по критерию сложности разработки (RCI)</article-title><trans-title-group xml:lang="en"><trans-title>Classification of residual recoverable and non-recoverable oil reserves by the reservoir complexity index (RCI)</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>Малышев</surname><given-names>Б. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Malyshev</surname><given-names>B. V.</given-names></name></name-alternatives><email xlink:type="simple">Malyshev.BV@gazpromneft-ntc.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>Шуваев</surname><given-names>Д. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Shuvaev</surname><given-names>D. V.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.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>Климов</surname><given-names>В. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Klimov</surname><given-names>V. Yu.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Научно-Технический Центр «Газпром нефти» (ООО «Газпромнефть НТЦ»)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Gazpromneft NTC LLC</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>03</day><month>06</month><year>2022</year></pub-date><volume>6</volume><issue>1</issue><fpage>33</fpage><lpage>39</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Малышев Б.В., Шуваев Д.В., Климов В.Ю., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Малышев Б.В., Шуваев Д.В., Климов В.Ю.</copyright-holder><copyright-holder xml:lang="en">Malyshev B.V., Shuvaev D.V., Klimov V.Y.</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://proneft.elpub.ru/jour/article/view/7">https://proneft.elpub.ru/jour/article/view/7</self-uri><abstract><p>В работе рассмотрен новый инженерный аналитический инструмент, который позволяет производить экспресс-оценку запасов нефти, классифицировать их по сложности с целью проведения последующей оптимизации системы разработки и формирования программы геолого-технических мероприятий.&#13;
Классификация запасов производится с использованием авторского подхода по определению индекса сложности разработки (RCI). Сложность разработки зависит от трех основных параметров: проницаемости пласта, запускной обводненности, которая содержит в себе параметры кривой относительной фазовой проницаемости, насыщенности и вязкости и геологической неоднородности (эффективности заводнения).&#13;
Проведена экономическая оценка рентабельности скважины при помощи рассчитанного показателя PV UDC (стоимость разработки единицы продукции, CAPEX/общая добыча нефти). Данный показатель позволяет определить экономическую привлекательность, но при этом для его расчета не требуется знание всех макропараметров и учет затрат на строительство кустовых площадок (КП).&#13;
По результатам экономической оценки и ранжирования скважин можно получить рентабельные КП и выбрать кандидатов для зарезки боковых стволов (ЗБС).&#13;
Новизна работы заключается в использовании обновленной методики расчета индекса сложности пласта для классификации остаточных извлекаемых запасов (ОИЗ), которая в сочетании с экономической моделью создает качественный инструмент для решения инженерных проблем пласта и повышения стоимости проекта.&#13;
Метод может быть перенесен на другие месторождения с незначительными модификациями при условии корректного учета экономических параметров месторождения и его геологических особенностей.</p></abstract><trans-abstract xml:lang="en"><p>The paper considers a new engineering analytical tool for express oil reserves assessment. Proposed method is based on classifying oil reserves by complexity – reservoir complexity index (RCI). It allows to optimize the development system and form a well interventions program.&#13;
The method is suggested to use three main parameters for development complexity estimation: reservoir permeability, start watercut (which contains the parameters of the curve of relative permeability, saturation and viscosity) and geological heterogeneity (pattern efficiency).&#13;
An economic estimation of the well profitability is carried out by calculating PV UDC indicator (unit development cost, CAPEX / total oil production). The advantages of this indicator is that it allows to determine the economic attractiveness and does not require macro parameters and costs for the building well pads&#13;
Due to the economic assessment and well ranking, it is possible to obtain profitable well pads and select candidates for sidetracking.&#13;
The novelty of the work lies in the use of an updated methodology for the reservoir complexity index estimation for the remaining recoverable reserves classification.&#13;
As a result, high-quality tool is created that integrates RCI and economic model. It is aimed for solving reservoir engineering problems and increasing the project cost&#13;
The proposed method can be applied to other fields with minor modifications.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>разработка</kwd><kwd>индекс сложности разработки (RCI)</kwd><kwd>проницаемость</kwd><kwd>запускная обводненность</kwd><kwd>эффективность заводнения</kwd><kwd>коэффициент извлечения нефти</kwd><kwd>геолого-технические мероприятия</kwd><kwd>стоимость разработки единицы продукции (UDC)</kwd></kwd-group><kwd-group xml:lang="en"><kwd>reservoir engineering</kwd><kwd>reservoir complexity index (RCI)</kwd><kwd>permeability</kwd><kwd>start watercut</kwd><kwd>pattern efficiency</kwd><kwd>oil recovery factor</kwd><kwd>well interventions</kwd><kwd>unit development cost (UDC)</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">Noaman El-Khatib. Waterflooding Performance. SPE Reservoir Eval. &amp; Eng., December 1999, Vol. 2, No. 6, pp. 542–549.</mixed-citation><mixed-citation xml:lang="en">Noaman El-Khatib. Waterflooding Performance. SPE Reservoir Eval. &amp; Eng., December 1999, Vol. 2, No. 6, pp. 542–549.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Laurence M. Wickens. SPE and Roy Kelly SPE, RPS Energy. Rapid Assessment of Potential Recovery Factor: A New Correlation Demonstrated on UK and USA Fields. SPE 134450.</mixed-citation><mixed-citation xml:lang="en">Laurence M. Wickens. SPE and Roy Kelly SPE, RPS Energy. Rapid Assessment of Potential Recovery Factor: A New Correlation Demonstrated on UK and USA Fields. SPE 134450.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Jia L., Kumar A., Bialas R., Lanson T.P., and Jing X.D., Shell International E&amp;P Inc.: Novel Benchmark and Analogue Method to Evaluate Heavy Oil Projects. SPE 184101-MS.</mixed-citation><mixed-citation xml:lang="en">Jia L., Kumar A., Bialas R., Lanson T.P., and Jing X.D., Shell International E&amp;P Inc.: Novel Benchmark and Analogue Method to Evaluate Heavy Oil Projects. SPE 184101-MS.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Xiao Qi Yeoh In collaboration with Gaffney, Cline &amp; Associates. Thin Oil Rim Reservoir Development</mixed-citation><mixed-citation xml:lang="en">Xiao Qi Yeoh In collaboration with Gaffney, Cline &amp; Associates. Thin Oil Rim Reservoir Development</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Naugolnov M.V., Murtazin R.I. Reservoir Value-Engineering for West Siberian Oil Fields. SPE-198374-RU, 2019. (In Russ.).</mixed-citation><mixed-citation xml:lang="en">Naugolnov M.V., Murtazin R.I. Reservoir Value-Engineering for West Siberian Oil Fields. SPE-198374-RU, 2019. (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Dykstra H. and Parsons R.L. The Prediction of Oil Recovery by Waterflooding, presented at the API Spring Meeting, Pacific Coast Div., Los Angeles, May 1948. Published in Secondary Recovery of Oil in the United States, 2nd Ed., API (1950) 160–174.</mixed-citation><mixed-citation xml:lang="en">Dykstra H. and Parsons R.L. The Prediction of Oil Recovery by Waterflooding, presented at the API Spring Meeting, Pacific Coast Div., Los Angeles, May 1948. Published in Secondary Recovery of Oil in the United States, 2nd Ed., API (1950) 160–174.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
