Application of direct source parameter imaging (direct local wave number) technique to the 2D gravity anomalies for depth determination of some geological structures

• Autorzy: Alvandi, Ahmad , Toktay, Hazel Deniz , Nasri, Sara
• Języki publikacji: EN

Abstrakty

EN

Analytic signal (AS) is a complex quantity defined by two components, amplitude and phase. The intensity of changes in the phase component of the analytic signal is equal to the local wavenumber, which is used to interpret gravity data from the contact, thin dyke, and horizontal cylinder models. However, one of the disadvantages of this method is its sensitivity to noise. This paper introduces an improved local wavenumber (DSPI) based on a direct analytic signal (DAS) that is more accurate in determining the depth of potential features on gravity anomalies. This method was first tried to determine the depth values of noisy and noiseless 2D synthetic model structures. After theoretical approval, the method was examined on two gravity field data from Iran (the Gol-e-Gohar iron ore mine, Kerman) and Canada (Mobrun orebody, near Noranda). The results obtained from the DSPI method have an excellent agreement with the drilling information, Radial amplitude spectrum, and the Euler deconvolution method.

Słowa kluczowe

PL

anomalia grawitacyjna

EN

gravity anomaly; direct analytic signal; direct source parameter imaging

• Czasopismo: Acta Geophysica
• Rocznik: 2022
• Tom: Vol. 70, no 2
• Strony: 659--667
• Opis fizyczny: Bibliogr. 30 poz.

Twórcy

autor

Alvandi, Ahmad

• Hamedan Province Branch, University of Applied Science and Technology (UAST), Hamedan, Iran

autor

Toktay, Hazel Deniz

• Department of Geophysical Engineering, Istanbul University - Cerrahpasa, Istanbul, Turkey,

autor

Nasri, Sara

• Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).

Identyfikatory

DOI

10.1007/s11600-022-00750-6