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Prikladnaya Mekhanika i Tekhnicheskaya Fizika, 2003, Volume 44, Issue 6, Pages 56–63 (Mi pmtf2558)  
This article is cited in 1 scientific paper (total in 1 paper)

Method of probabilistic convolutions for interpreting data of electromagnetic logging

M. I. Èpova, V. I. Pen’kovskiib, N. K. Korsakovab, I. N. Eltsova

a Institute of Geophysics, Siberian Division, Russian Academy of Sciences, Novosibirsk, 630090
b Lavrentyev Institute of Hydrodynamics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk
Full-text PDF (229 kB) Citations (1)
Abstract: A new method is proposed for processing the data of electromagnetic logging in wells. The method is based on the hydrodynamic analysis of drilling mud filtrate penetration into the oil stratum, determination of the field of electrical resistances of the near-well zone with its subsequent averaging by convolutions with a kernel in the form of a logarithmically normal distribution of probe sensitivity.
Keywords: electromagnetic logging, immiscible filtration, salt exchange, oil saturation, drilling mud filtrate.
Received: 04.04.2003
English version:
Journal of Applied Mechanics and Technical Physics, 2003, Volume 44, Issue 6, Pages 796–802
DOI: https://doi.org/10.1023/A:1026279503198
Bibliographic databases:
Document Type: Article
UDC: 532.546:550.820.7
Language: Russian
Citation: M. I. Èpov, V. I. Pen’kovskii, N. K. Korsakova, I. N. Eltsov, “Method of probabilistic convolutions for interpreting data of electromagnetic logging”, Prikl. Mekh. Tekh. Fiz., 44:6 (2003), 56–63; J. Appl. Mech. Tech. Phys., 44:6 (2003), 796–802
Citation in format AMSBIB
\Bibitem{EpoPenKor03}
\by M.~I.~\`Epov, V.~I.~Pen’kovskii, N.~K.~Korsakova, I.~N.~Eltsov
\paper Method of probabilistic convolutions for interpreting data of electromagnetic logging
\jour Prikl. Mekh. Tekh. Fiz.
\yr 2003
\vol 44
\issue 6
\pages 56--63
\mathnet{http://mi.mathnet.ru/pmtf2558}
\elib{https://elibrary.ru/item.asp?id=17274850}
\transl
\jour J. Appl. Mech. Tech. Phys.
\yr 2003
\vol 44
\issue 6
\pages 796--802
\crossref{https://doi.org/10.1023/A:1026279503198}
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    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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