Modeling and interpretation of geomagnetic data related to geothermal sources, Northwest of Delijan

Rahim Zahedi, Sareh Daneshgar, Mohammad Ali Nasle Seraji and Hamidreza Asemi

Renewable Energy, 2022, vol. 196, issue C, 444-450

Abstract: Several hot springs and the geology of Northwest of Delijan, Iran, suggest that there is a large geothermal system beneath the area. In 2021, magnetometry methods were used to determine the geothermal structures causing magnetic anomalies of the 300 km2 area surrounding Delijan hot springs. In this research the data are corrected and processed to identify the structural characteristics of the geothermal system in the region and the depth of the geothermal source using the resulting magnetic anomaly maps. After detecting the primary anomalies, the depth and the structural index of the region are estimated using the Euler method. The main source of primary magnetic anomalies in the region is a large pseudo-conical magnetic mass, more the 2000 m deep. The forward model and 3D inversion of data are conducted using ModelVision software and Mag3D computer code, based on the results of the Euler method. The Mag3D is based on the Li-Oldenburg algorithm, by which the best possible solution for magnetic masses is iteratively achieved. The results of modeling and inversion revealed that there is a large magnetic anomaly at 2500–5000 below the surface that is interpreted as a geothermal system source. The results of the current study are in good agreement with the geological information of the region.

Keywords: Magnetometry; Euler method; Modeling; Inversion; Geothermal; Delijan (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:196:y:2022:i:c:p:444-450

DOI: 10.1016/j.renene.2022.07.004

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