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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">vmait</journal-id><journal-title-group><journal-title xml:lang="ru">Computational Mathematics and Information Technologies</journal-title><trans-title-group xml:lang="en"><trans-title>Computational Mathematics and Information Technologies</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2587-8999</issn><publisher><publisher-name>Донской государственный технический университет</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.23947/2587-8999-2025-9-3-7-15</article-id><article-id custom-type="elpub" pub-id-type="custom">vmait-199</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>Computational Mathematics (Вычислительная математика)</subject></subj-group></article-categories><title-group><article-title>Многостадийный сеточно-характеристический метод повышенного порядка точности для задач акустики</article-title><trans-title-group xml:lang="en"><trans-title>Multistage Grid-Characteristic Method of Increased Order of Accuracy for Acoustic Problems</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0005-7429-6611</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ми</surname><given-names>С.</given-names></name><name name-style="western" xml:lang="en"><surname>Mi</surname><given-names>Xin</given-names></name></name-alternatives><bio xml:lang="ru"><p>Синь Ми, аспирант кафедры информатики и вычислительной математики</p><p>141701, Московская область, г. Долгопрудный, Институтский переулок, 9</p></bio><bio xml:lang="en"><p>Xin Mi, PhD Student at the Department of Computer Science and Computational Mathematics</p><p>9, Institutskii lane, Dolgoprudny, 141701</p></bio><email xlink:type="simple">xinawafe@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3113-7299</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Голубев</surname><given-names>В. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Golubev</surname><given-names>V. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Василий Иванович Голубев, профессор кафедры информатики и вычислительной математики</p><p>141701, Московская область, г. Долгопрудный, Институтский переулок, 9</p><p> </p></bio><bio xml:lang="en"><p>Vasily I. Golubev, Professor at the Department of Computer Science and Computational Mathematics</p><p>9, Institutskii lane, Dolgoprudny, 141701</p></bio><email xlink:type="simple">golubev.vi@mipt.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский физико-технический институт</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Moscow Institute of Physics and Technology</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Московский физико-технический институт; Федеральное государственное автономное учреждении «Федеральный научный центр Научно-исследовательский институт системных исследований Национального исследовательского центра «Курчатовский институт»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Moscow Institute of Physics and Technology; Scientific Research Institute for System Analysis of the National Research Centre «Kurchatov Institute»</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>30</day><month>09</month><year>2025</year></pub-date><volume>9</volume><issue>3</issue><fpage>7</fpage><lpage>15</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ми С., Голубев В.И., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Ми С., Голубев В.И.</copyright-holder><copyright-holder xml:lang="en">Mi X., Golubev V.I.</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.cmit-journal.ru/jour/article/view/199">https://www.cmit-journal.ru/jour/article/view/199</self-uri><abstract><sec><title>Введение</title><p>Введение. Сейсмическая разведка является широко применяемой технологией поиска месторождений углеводородов. Важным этапом данного процесса является расчёт распространения сейсмических волн в геологической модели среды с заданными физическими характеристиками. Ввиду высокой вычислительной сложности задачи на практике активно используется акустическое приближение, позволяющее корректно описать распространение продольных волн. Наиболее часто для сейсмического моделирования используются конечно-разностные схемы на сдвинутых кубических расчётных сетках. Несмотря на простоту их реализации и высокую вычислительную эффективность, такие подходы демонстрируют недостаточную точность при моделировании сложных геологических структур, включая криволинейные границы раздела геологических слоёв. Перспективным направлением является разработка новых вычислительных методов высокого порядка точности на криволинейных расчётных сетках. В настоящей работе представлен устойчивый сеточно-характеристический метод пятого порядка аппроксимации, успешно применённый для решения задачи о распространении акустических волн в двумерной постановке.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. Используется сеточно-характеристический метод с интерполяционным полиномом пятой степени, построенном на расширенном пространственном шаблоне. Выделен класс криволинейных сеток, позволяющий сохранить достигнутую при решении одномерной задачи точность расчёта. При этом с помощью метода многошагового расщепления удается сохранить порядок схемы по времени и по пространству в многомерной постановке.</p></sec><sec><title>Результаты исследования</title><p>Результаты исследования. Представлены формулы вычислительного алгоритма, эмпирически подтверждено достижение заявленного порядка сходимости, рассчитаны волновые картины динамического процесса.</p></sec><sec><title>Обсуждение</title><p>Обсуждение. Результаты расчётов демонстрируют меньшую численную диссипацию предложенного вычислительного алгоритма. Платой за это является значимое увеличение времени расчёта.</p></sec><sec><title>Заключение</title><p>Заключение. Разработанный расчётный алгоритм обеспечивает высокую точность расчёта сейсмических фронтов, что критически важно в задачах сейсморазведки в слоистых геологических массивах.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Introduction</title><p>Introduction. Seismic exploration is a widely used technology for locating hydrocarbon deposits. An important stage of this process is the simulation of seismic wave propagation in a geological model of the medium with specified physical characteristics. Due to the high computational cost of this problem, the acoustic approximation is widely used in practice, allowing for the correct description of longitudinal wave propagation. The most common approach to seismic modeling is the use of finite-difference schemes on staggered Cartesian computational grids. Despite their simplicity of implementation and high computational efficiency, such methods exhibit insufficient accuracy when modelling complex geological structures, including curvilinear interfaces between geological layers. A promising direction is the development of new high-order computational methods on curvilinear computational grids. This paper presents a stable fifth-order grid-characteristic method successfully applied to solving the problem of acoustic wave propagation in the two-dimensional case.</p></sec><sec><title>Materials and Methods</title><p>Materials and Methods. The study employs a grid-characteristic method with a fifth-degree interpolation polynomial constructed on an extended spatial stencil. A class of curvilinear grids is identified that makes it possible to retain the accuracy achieved when solving a one-dimensional problem. Furthermore, the use of a multistage splitting method allows the preservation of the scheme’s order in both time and space for multidimensional formulations.</p></sec><sec><title>Results</title><p>Results. The formulas of the computational algorithm are presented, the achievement of the declared convergence order is empirically confirmed, and wavefield patterns of the dynamic process are calculated.</p></sec><sec><title>Discussion</title><p>Discussion. The results demonstrate lower numerical dissipation of the proposed computational algorithm. The trade-off for this improvement is a significant increase in computation time.</p></sec><sec><title>Conclusion</title><p>Conclusion. The developed computational algorithm ensures high accuracy in calculating seismic fronts, which is critically important for seismic exploration tasks in layered geological massifs.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>сейсмическая разведка</kwd><kwd>сейсмические волны</kwd><kwd>математическое моделирование</kwd><kwd>криволинейные сетки</kwd><kwd>акустическая среда</kwd><kwd>сеточно-характеристический метод</kwd><kwd>операторное расщепление</kwd></kwd-group><kwd-group xml:lang="en"><kwd>seismic exploration</kwd><kwd>seismic waves</kwd><kwd>mathematical modelling</kwd><kwd>curvilinear grid</kwd><kwd>acoustic medium</kwd><kwd>gridcharacteristic method</kwd><kwd>operator splitting</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа выполнена в рамках государственного задания НИЦ «Курчатовский институт» – НИИСИ по теме № FNEF–2024–0002 «Математическое моделирование многомасштабных динамических процессов и системы виртуального окружения» (1023032900401–5–1.2.1). Исследования Ми Синь были поддержаны Китайским советом по стипендиям.</funding-statement><funding-statement xml:lang="en">The work was carried out within the framework of the state task of the NRC «Kurchatov Institute» – SRISA on the topic № FNEF–2024–0002 «Mathematical modeling of multi-scale dynamic processes and virtual environment systems» (1023032900401–5–1.2.1). Mi Xinʼs research work was supported by a scholarship from the China Scholarship Council.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Kallivokas L.F., Fathi A., Kucukcoban S., Stokoe II K.H., Bielak J., Ghattas O. Site characterization using full waveform inversion. 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