Geoelectrical modeling of time-domain electrical resistivity and induced polarization data for imaging marble building stone

Document Type : Original Article

Authors

1 School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran.

2 تهران، شهرقدس، خیابان مفتح شمالی، پلاک 222، واحد 1

3 School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran

10.22077/jgm.2025.9258.1045

Abstract

Integrated geoelectrical data modeling aims to produce subsurface electrical models for mineral deposit exploration. These models improve understanding of subsurface lithology and structures. Quantitative interpretation using numerical inversion is crucial for accurate results. This study employs 2D inversion of time-domain electrical resistivity and induced polarization data from three profiles to investigate marble deposits in Iran's Fasa region. This research aims to identify and differentiate the bedrock from the marble deposit. The methods used in this study include electrical resistivity tomography through dipole-dipole and pole-dipole configurations. Based on the obtained results, the separation of the marble stone from the background is illustrated using electrical characteristics. Additionally, the boundaries and the greater continuity of the building stone mass are also discussed. The thickness of the marble layer was determined to range between 10 and 30 meters, In comparison, the surface sandstone/limestone layer displayed thickness variations from zero up to 30 meters, characterized by notably lower electrical resistivity. Furthermore, the induced polarization models revealed the existence of a limestone/marl bed containing marble at depths ranging from 30 to 40 meters. Additionally, the electrical resistivity models indicated that the marble layer located in the southern region is of superior quality compared to that found in the mountain ridge. In the modeling, an attempt has been made to minimize the difference between the observed and predicted apparent values, and accordingly, the RMS error rate was less than 2.

Keywords

Journal of Geomine
Volume 3, Issue 1
March 2025
Pages 70-81

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