Sahoo, S., Singh, A., Biswas, S. and Sharma, S.P. (2021) 3D Subsurface Characterization of Banded Iron Formation Mineralization Using Large-Scale Gravity Data: A Case Study in Parts of Bharatpur, Dausa and Karauli Districts of Rajasthan, India. Natural Resources Research, 30, 3121-3138.
https://doi.org/10.1007/s11053-021-09880-y

has been cited by the following article:

• TITLE: The Use of Edge Enhancement Methods and Euler Deconvolution to Estimate an Ore Deposit Depth from Gravity Data

  AUTHORS: Meriem Lghoul

  KEYWORDS: Benslimane, Tilt Angle Derivative, 3D Euler Deconvolution, Depth, Total Horizontal Derivative of the Tilt Angle Derivative

  JOURNAL NAME: Open Journal of Geology, Vol.12 No.11, November 16, 2022

  ABSTRACT: The Hercynian massif of the central Jebilet (Morocco) is characterized by the outcrop of many gossans with great economic importance. This work focuses on interpreting gravity data of Benslimane gossan, located about thirty kilometres to the North-West of Marrakech. The residual gravity map of the study area highlights several anomalies which coincide with the mining and geological contexts. Applying edge detection methods, for example, tilt angle derivative (TDR), the total horizontal derivative of the tilt angle derivative (HDR_TDR) and the 3D Euler deconvolution, allowed us to estimate the depth of the Benslimane deposit. As a result, the average depth of the ore deposit was estimated to exceed 200 m. The results are promising, and the processing methods must be applied to the other gossan in the Jebilet massif for further exploration studies.