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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">10.18303/2619-1563-2022-1-4</article-id><article-id custom-type="elpub" pub-id-type="custom">geophystech-207</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>Методы сжатия данных прибора каротажа в процессе бурения методом переходных процессов</article-title><trans-title-group xml:lang="en"><trans-title>Methods of transient em data compression</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7276-9199</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Никитенко</surname><given-names>М. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Nikitenko</surname><given-names>M. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Доктор технических наук, ведущий научный сотрудник лаборатории многомасштабной геофизики Института нефтегазовой геологии и геофизики СО РАН. Основные научные интересы: прямые и обратные задачи электромагнитных зондирований, обоснование новых методов исследования скважин, новые способы интерпретации, разработка программного обеспечения для моделирования и инверсии данных.630090, Новосибирск, просп. Акад. Коптюга, 3</p></bio><bio xml:lang="en"><p>Koptyug Ave., 3, Novosibirsk, 630090</p></bio><email xlink:type="simple">NikitenkoMN@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>Мосин</surname><given-names>А. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Mosin</surname><given-names>A. P.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Магистр прикладной математики и информатики, специалист по прямым и обратным задачам электромагнитных каротажных зондирований, а также разработке программного обеспечения для задач геонавигации в реальном времени.16000 Park Ten Place, Houston, TX 77084</p></bio><bio xml:lang="en"><p>16000 Park Ten Place, Houston, TX 77084</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Институт нефтегазовой геологии и геофизики им. А.А. Трофимука СО РАН<country>Россия</country></aff><aff xml:lang="en">Trofimuk Institute of Petroleum Geology and Geophysics SB RAS<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">ROGII<country>Соединённые Штаты Америки</country></aff><aff xml:lang="en">ROGII<country>United States</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>14</day><month>12</month><year>2022</year></pub-date><volume>0</volume><issue>1</issue><fpage>4</fpage><lpage>16</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Никитенко М.Н., Мосин А.П., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Никитенко М.Н., Мосин А.П.</copyright-holder><copyright-holder xml:lang="en">Nikitenko M.N., Mosin A.P.</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/207">https://www.rjgt.ru/jour/article/view/207</self-uri><abstract><p>В приборе индукционного каротажа в процессе бурения методом переходных процессов кривая становления записывается на множестве времен. Передача данных для последующей интерпретации осуществляется по пульсатору гидроканала, причем количество передаваемой информации ограничено. Необходимым элементом обработки является сжатие данных. Важно установить, какие параметры и какое их количество необходимы для описания кривой э.д.с., и передавать на поверхность именно значимые параметры, которые позволяют восстановить записанную кривую с заданной точностью. В работе предложены простые и быстрые способы сжатия данных, основанные на сплайн-аппроксимации сигнала и использовании ортогонального базиса в пространстве измерений для описания каждого сигнала линейной комбинацией векторов из этого базиса. Проанализированы формы кривых становления, рассмотрены различные компоненты магнитного поля. Численными результатами установлено сколько параметров требуется для описания и восстановления сигнала глубинного электромагнитного зонда.</p></abstract><trans-abstract xml:lang="en"><p>A transient electromagnetic signal is recorded in an earth formation while drilling at multiple times. Data for subsequent interpretation is transmitted via a hydrochannel with a narrow bandwidth, for that reason the amount of transmitted information is limited. Therefore, data compression is an indispensable element of processing. It is important to determine what parameters and how many of them are necessary to describe the measured EMF curve. The idea is to transfer to the surface only significant parameters allowing to restore the recorded curve with a given accuracy. The paper proposes simple and fast data compression methods based on the spline approximation of the signal. Also, an orthogonal basis in the measurement space is used to describe each signal by a linear combination of vectors from this basis. We analyze transient curves and consider various magnetic field components. Numerical experiments show how many parameters are required to describe and reconstruct the signal of a deep-reading electromagnetic tool.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Каротаж в процессе бурения</kwd><kwd>метод переходных процессов</kwd><kwd>сжатие данных</kwd><kwd>метод сплайн-аппроксимации</kwd><kwd>метод собственных значений</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Logging while drilling</kwd><kwd>transient electromagnetic method</kwd><kwd>data compression</kwd><kwd>spline approximation method</kwd><kwd>eigenvalue metho</kwd></kwd-group><funding-group xml:lang="ru"><funding-statement>Исследование выполнено в рамках проекта ФНИ № FWZZ-2022-0026 «Инновационные аспекты электродинамики в задачах разведочной и промысловой геофизики».</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">Булаев В.И., Мунасыпов Р.А. 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