ASSESSMENT OF ELECTRICAL PROPERTIES OF ROCKS BASED ON VELOCITY ANALYSIS OF ELECTROMAGNETIC CDP DATA

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Abstract

An algorithm for estimating the specific electrical resistance of rocks has been developed based on the velocity analysis of the method of reflected electromagnetic waves data obtained using various offset distance between the receiver and transmitter - electromagnetic CDP (ECDP). The interval electrical resistivity assessment at a point (“virtual well”) based on ECDP data, in contrast to the algorithms of electrical exploration methods, does not require a priori information; measurement data are sufficient. An example of a virtual well describing the dependence of electrical resistance on depth, 500 meters deep, obtained during an experimental study in the cryolithozone, is given.

About the authors

O. A. Gulevich

Pushkov Institute of Terrestrial Magnetism, Ionosphere and Radio Wave Propagation, Russian Academy of Sciences (IZMIRAN); Timer LLC; MSU

Email: oxana.gulevich@mail.ru
ORCID iD: 0000-0002-3883-5965
Scopus Author ID: 56663135100
ResearcherId: AAX-8829-2021
Faculty of Physics, candidate of physical and mathematical sciences 2015-2015

L. B. Volkomirskaya

IZMIRAN

Email: mila.48@inbox.ru
ORCID iD: 0000-0001-7474-1053
candidate of physical and mathematical sciences 1998-2023

E. P. Kaygorodov

Shpilman Research and Analytical Centre for the Rational Use of the Subsoil

Email: epk1967kj@yandex.ru
ORCID iD: 0009-0004-0774-8051

References

  1. Альпин Л. М., Даев Д. С., Каринский А. Д. Теория полей, применяемых в разведочной геофизике. — Москва : Недра, 1985. — 407 с.
  2. Волкомирская Л. Б., Гулевич О. А. Способ глубинной георадиолокации и устройство для его осуществления. Патент на изобретение №RU2816128C1 от 26.03.2024 г. — Москва : ООО «Таймер», 2024.
  3. Волкомирская Л. Б., Гулевич О. А., Ляхов Г. А. и др. Георадиолокация больших глубин // Журнал радиоэлектроники. — 2019. — Т. 2019, № 4. — doi: 10.30898/1684-1719.2019.4.6.
  4. Кильпио Е. Ю., Щербаков И. А. О научных результатах в области физических наук, полученных в 2020–2021 гг. // Доклады Российской академии наук. Физика, технические науки. — 2022. — Т. 506, № 2. — С. 3—33. — doi: 10.31857/S2686740022070069.
  5. Электроразведка: пособие по электроразведочной практике для студентов геофизических специальностей / под ред. В. К. Хмелевского, И. Н. Модина, А. Г. Яковлева. — М. : ГЕРС, 2005. — 311 с.
  6. Christensen N. B. Difficulties in determining electrical anisotropy in subsurface investigations // Geophysical Prospecting. — 2000. — Vol. 48, no. 1. — P. 1–19. — doi: 10.1046/j.1365-2478.2000.00174.x.
  7. Doyoro Y. G., Chang P.-Y., Puntu J. M., et al. A review of open software resources in python for electrical resistivity modelling // Geoscience Letters. — 2022. — Vol. 9, no. 1. — doi: 10.1186/s40562-022-00214-1.
  8. Gautier M., Gautier S., Cattin R. PyMERRY: A Python solution for an improved interpretation of electrical resistivity tomography images // GEOPHYSICS. — 2023. — Vol. 89, no. 1. — F23–F39. — doi: 10.1190/geo2023-0105.1.
  9. Hou D., Wang X., Zou J. Inversion of soil resistivity by using CSAMT method // 2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE). — IEEE, 2020. — P. 1–4. — doi: 10.1109/ICHVE49031.2020.9279948.
  10. Olayinka A. I., Yaramanci U. Assessment of the reliability of 2D inversion of apparent resistivity data // Geophysical Prospecting. — 2000. — Vol. 48, no. 2. — P. 293–316. — doi: 10.1046/j.1365-2478.2000.00173.x.
  11. Volkomirskaya L. B., Gulevich O. A., Reznikov A. E., et al. Impact of Signal Registration Technology on GPR Data // Engineering and Mining Geophysics 2021. — European Association of Geoscientists & Engineers, 2021. — P. 1–9. — doi: 10.3997/2214-4609.202152005.

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