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Reconstruction of a 2D geoelectric model by numerical inversion of galvanic and induction logging signals

https://doi.org/10.18303/2619-1563-2022-1-118

Abstract

The practice of two-dimensional inversion of electrolog signals leads to the conclusion that the results obtained to a large extent depend on the set of devices. Russian geophysical companies mainly use lateral logging (measuring by a set of gradient sondes), focusing lateral logging, high-frequency electromagnetic sounding and low-frequency induction logging, including multi-sonde tool. The article considers the possibilities of determining the parameters of permeable formations by two-dimensional inversion of synthetic signals for these tools, on the example of a geoelectric model of the Lower Cretaceous deposits in Western Siberia. The model includes permeable formations with mud filtrate invasion zones. The different starting value of the invasion depth determines the accuracy of estimating the parameters of the invaded zone by inverting the data of various sets of sonde signals.

About the Authors

A. A. Lapkovskaya
http://www.ipgg.sbras.ru/ru/institute/staff/lapkovskayaaa1
Trofimuk Institute of Petroleum Geology and Geophysics SB RAS
Russian Federation

Koptyug Ave., 3, Novosibirsk, 630090



K. V. Sukhorukova
http://www.ipgg.sbras.ru/ru/institute/staff/suhorukovakv
Trofimuk Institute of Petroleum Geology and Geophysics SB RAS
Russian Federation

Koptyug Ave., 3, Novosibirsk, 630090



O. V. Nechaev
http://www.ipgg.sbras.ru/ru/institute/staff/nechayevov
Trofimuk Institute of Petroleum Geology and Geophysics SB RAS
Russian Federation

Koptyug Ave., 3, Novosibirsk, 630090



A. M. Petrov
http://www.ipgg.sbras.ru/ru/institute/staff/petrovam
Trofimuk Institute of Petroleum Geology and Geophysics SB RAS
Russian Federation

Koptyug Ave., 3, Novosibirsk, 630090



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For citations:


Lapkovskaya A.A., Sukhorukova K.V., Nechaev O.V., Petrov A.M. Reconstruction of a 2D geoelectric model by numerical inversion of galvanic and induction logging signals. Russian Journal of Geophysical Technologies. 2022;(1):118-133. (In Russ.) https://doi.org/10.18303/2619-1563-2022-1-118

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