Automated selection of gravity anomalies during the search for minerals

Authors

  • T.L. Mikheeva S.I. Subbotin Institute of Geophysics, National Academy of Sciences of Ukraine, Kiev, Ukraine, Ukraine
  • O.P. Lapina S.I. Subbotin Institute of Geophysics, National Academy of Sciences of Ukraine, Kiev, Ukraine, Ukraine
  • G.M. Drogytska S.I. Subbotin Institute of Geophysics, National Academy of Sciences of Ukraine, Kiev, Ukraine, Ukraine

DOI:

https://doi.org/10.24028/gj.v47i2.322550

Keywords:

three-dimensional modeling, inverse problem, selection method, oil fields, pluton, gabbro-anorthosite

Abstract

The computer automated system is aimed at the study and development of methods of interpreting data of gravity and magnetic fields in the exploration of mineral deposits.

Examples are presented that take into account all the a priori information about the physical and geometric parameters of anomaly-creating objects. A three-dimensional algorithm of gravity selection using an approximation model in the form of a three-bar structure was applied for the territory of the Torgai oil-and-gas-bearing region of the Republic of Kazakhstan, where oil deposits are discovered, and oil and gas shows are recorded in wells and for gabbro-anorthosite massifs of the central part of the Korsun-Novomyrhorod pluton of the Ukrainian Shield. In the first example, the contours of promising areas for conducting direct hydrocarbon searches were obtained. In the second, gabbro-anorthosite bodies were selected and outlined in the upper part of the section, and the depth of their distribution was established. These models can be used to obtain additional reliable geological information.

References

Bulakh, E.G. (2010). Direct and inverse problems of gravimetry and magnetometry. Kyiv: Naukova Dumka, 463 p. (in Russian).

Korchagin, I.N., Levashov, S.P., Mikheeva, T.L., Orlova, M.I., Prilukov, V.V., Yakimchuk, N.A., Yakimchuk, Yu.N., & Shumik, S.V. (2004). Elements of multi-step strategies in technologies for automated selection of gravity and magnetic anomalies. In Theoretical and applied aspects of geoinformatics (Vol. 1, pp. 143—158). Kiev (in Russian).

Kuadykov, B. (2020). Atlas of oil and gas fields of the Republic of Kazakhstan. Oil and Gas, (5), 146—150 (in Russian).

Lapina, E.P., Mikheeva, T.L., & Panchenko, N.V. (2016). Localization of geological objects using magnetometric data with the introduction of automated selection algorithms. Geophysical Journal, 38(6), 160—173. https://doi.org/10.24028/gzh.0203-3100.v38i6.2016.91904 (in Russian).

Mikheeva, T.L., Drohytska, H.M., & Lapina, O.P. (2023). Gravitational modeling of ore gabroids of the Korsun-Novomyrhorod pluton. Geophysical Journal, 45(6), 127—140. https://doi.org/10.24028/gj.v45i6.293311 (in Ukrainian).

Mikheeva, T.L., Drogitska, G.M., & Lapina, O.P. (2024). Results of gravity modeling of the central part of the Korsun-Novomyrgorodsky Pluin (Ukrainian Shield). Geophysical Journal, 46(6), 120—137. https://doi.org/10.24028/gj.v46i6.312203 (in Ukrainian).

Starostenko, V.I. (1978). Robust numerical methods in gravimetry problems. Kyiv: Naukova Dumka, 228 p. (in Russian).

Starostenko, V.I., & Oganesyan, S.M. (2001). 3D problems according to Adamar and their approximate solution by the regularization method according to A.N. Tikhonov. Geophysical Journal, 23(6), 3—20 (in Russian).

Published

2025-04-07

How to Cite

Mikheeva, T., Lapina, O., & Drogytska, G. (2025). Automated selection of gravity anomalies during the search for minerals. Geofizicheskiy Zhurnal, 47(2). https://doi.org/10.24028/gj.v47i2.322550

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