Analysis and numerical assessment of the possibility of determining the depth of occurrence of ore anomalies for the passive method of induced polarization | Научно-инновационный портал СФУ

Analysis and numerical assessment of the possibility of determining the depth of occurrence of ore anomalies for the passive method of induced polarization

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 29 July 2021 through 31 July 2021; 180356; 180356

Год издания: 2022

Идентификатор DOI: 10.1063/5.0093487

Аннотация: The article evaluates the possibility of determining the depth of occurrence of ore anomalies using computer modelling for a homogeneous environment with the solution of Maxwell's equations by the finite element method. The parameters of the medium: the relative dielectric constant is taken equal to 10, the electrical conductivity of the medium is 10-3 S / m, the depth of the ore body simulator (OBS) is 800 meters. In the course of modelling, a curve was obtained for the dependence of the coefficient of induced polarization (IP) on the earth's surface on the signal-to-noise ratio; this dependence shows the dependence of the IP value on the depth of the OBS. Thus, the numerical estimate of the IP parameter on the day surface of the Earth indicates the possibility of a comprehensive assessment of the depth of occurrence of ore anomalies, taking into account the profiling data on the size of the ore anomaly and the IP coefficients. © 2022 Author(s).

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Издание

Журнал: AIP Conference Proceedings

Выпуск журнала: Vol. 2467

Номера страниц: 60028

ISSN журнала: 0094243X

Издатель: 2nd International Conference on Advances in Materials, Systems and Technologies, CAMSTech 2021

Персоны

  • Potylitsyn V.S. (Siberian Federal University, Krasnoyarsk, Russian Federation)
  • Belolipetskii P.V. (Siberian Federal University, Krasnoyarsk, Russian Federation)
  • Kudinov D.S. (Siberian Federal University, Krasnoyarsk, Russian Federation)
  • Romanov V.V. (Siberian Federal University, Krasnoyarsk, Russian Federation)

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