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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">geophystech</journal-id><journal-title-group><journal-title xml:lang="ru">Геофизические технологии</journal-title><trans-title-group xml:lang="en"><trans-title>Russian Journal of Geophysical Technologies</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2619-1563</issn><publisher><publisher-name>IPGG SB RAS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18303/2619-1563-2018-3-5</article-id><article-id custom-type="elpub" pub-id-type="custom">geophystech-35</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>МЕТОД АВТОМАТИЗИРОВАННОГО ИЗВЛЕЧЕНИЯ ДИСПЕРСИОННЫХ КРИВЫХ НА ОСНОВЕ ВРЕМЕННО-ЧАСТОТНОГО РАСПРЕДЕЛЕНИЯ СЕЙСМИЧЕСКИХ ДАННЫХ</article-title><trans-title-group xml:lang="en"><trans-title>METHOD OF AUTOMATED EXTRACTING OF DISPERSION CURVES BASED  ON TIME-FREQUENCY DISTRIBUTION OF SEISMIC DATAv</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>Яблоков</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Yablokov</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>аспирант Геолого-геофизического факультета Новосибирского государственного университета (НГУ), младший научный сотрудник Института нефтегазовой геологии и геофизики СО РАН (ИНГГ СО РАН), младший научный сотрудник Института горного дела СО РАН (ИГД СО РАН). </p><p>630090, Новосибирск, просп. Акад. Коптюга, 3;  630091, Новосибирск, Красный проспект, 54;  630090, Новосибирск, ул. Пирогова, 2.</p></bio><bio xml:lang="en"><p>Koptug Avenue, 3, Novosibirsk, 630090; Krasny Avenue, 54, Novosibirsk, 630091; , Pirogova str., 2, Novosibirsk, 630090.</p></bio><email xlink:type="simple">YablokovAV@ipgg.sbras.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>Сердюков</surname><given-names>А. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Serdyukov</surname><given-names>A. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>кандидат физико-математических наук, доцент кафедры высшей математики Физического факультета НГУ, старший научный сотрудник ИНГГ СО РАН, научный сотрудник ИГД СО РАН.</p><p>630090, Новосибирск, просп. Акад. Коптюга, 3;  630091, Новосибирск, Красный проспект, 54;  630090, Новосибирск, ул. Пирогова, 2.</p></bio><bio xml:lang="en"><p>Koptug Avenue, 3, Novosibirsk, 630090; Krasny Avenue, 54, Novosibirsk, 630091; , Pirogova str., 2, Novosibirsk, 630090.</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Институт нефтегазовой геологии и геофизики им. А.А. Трофимука СО РАН; Институт горного дела им. Н.А. Чинакала СО РАН; Новосибирский государственный университет.<country>Россия</country></aff><aff xml:lang="en">Trofimuk Institute of Petroleum Geology and Geophysics SB RAS; Chinakal Institute of Mining SB RAS; Novosibirsk State University.<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>20</day><month>02</month><year>2019</year></pub-date><volume>0</volume><issue>3</issue><fpage>48</fpage><lpage>58</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Яблоков А.В., Сердюков А.С., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Яблоков А.В., Сердюков А.С.</copyright-holder><copyright-holder xml:lang="en">Yablokov A.V., Serdyukov A.S.</copyright-holder><license 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.rjgt.ru/jour/article/view/35">https://www.rjgt.ru/jour/article/view/35</self-uri><abstract><p>В работе рассматривается метод многоканального анализа поверхностных волн. Предлагается автоматизированный способ выделения поверхностных волн на основе временно-частотного представления сейсмограмм и их дальнейшего пространственного спектрального анализа. Такой подход является помехоустойчивым и обеспечивает полностью автоматическое извлечение плавных и реалистичных дисперсионных кривых, что приводит к более достоверному определению скоростных разрезов поперечных сейсмических волн методом многоканального анализа поверхностных волн. В статье приводятся результаты тестирования разработанного подхода с использованием зашумленных синтетических и реальных сейсмических данных.</p></abstract><trans-abstract xml:lang="en"><p>The paper discusses the method of multichannel analysis of surface waves. We propose an automated method of surface waves extraction, based on the time-frequency representation of seismograms and their subsequent spatial spectral analysis. This approach is robust for the extraction of smooth and realistic dispersion curves in automatic mode. This provides a more reliable assessment of high-velocity sections of shear waves by the method of multichannel analysis of surface waves. The article presents the results of testing of the developed approach with using noisy synthetic and real seismic data.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Сейсморазведка</kwd><kwd>поверхностные волны</kwd><kwd>спектральный анализ</kwd><kwd>верхняя часть разреза</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Seismic</kwd><kwd>surface waves</kwd><kwd>spectral analysis</kwd><kwd>near-surface section</kwd></kwd-group><funding-group xml:lang="ru"><funding-statement>Грант № МК-6451.2018.5</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">Boiero D., Socco L.V. 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