4.7 Article

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

Journal

RENEWABLE ENERGY
Volume 196, Issue -, Pages 444-450

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2022.07.004

Keywords

Magnetometry; Euler method; Modeling; Inversion; Geothermal; Delijan

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The study reveals the existence of a large geothermal system in the northwest of Delijan, Iran. Magnetometry methods were used to determine the magnetic anomalies caused by the geothermal structures in the area, and the depth and structural characteristics were estimated using the Euler method. Modeling and inversion results indicate a significant magnetic anomaly at a depth of 2500-5000 beneath the surface, interpreted as the source of the geothermal system.
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 km(2) 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 con-ducted 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. (c) 2022 Elsevier Ltd. All rights reserved.

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