TY - JOUR
T1 - Resistivity imaging of Aluto-Langano geothermal field using 3-D magnetotelluric inversion
AU - Cherkose, Biruk Abera
AU - Mizunaga, Hideki
N1 - Funding Information:
This study is a part of the MSC thesis undertaken by the first author and supported by the Japan International Cooperation Agency (JICA). The authors would like to thank West JEC for providing the MT data. We also would like to extend our gratitude to the Geological Survey of Ethiopia for the permission to use the MT data from Aluto-Langano for this research. Special thanks to Mr. Solomon Kebede, Head of Geothermal Resource Exploration and Evaluation Directorate at the Geological Survey of Ethiopia, for his assistance. We also thank Gary Egbert, Anna Kelbert and Naser Meqbel for the ModEM program. We thank Naser Meqbel again for providing his 3-D grid program. Finally, we would like to acknowledge Daniel Gallagher, Kyushu University/Exploration Geophysics laboratory member for his valuable comments and correcting the grammar and spelling errors in the paper.
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2018/3
Y1 - 2018/3
N2 - Magnetotelluric (MT) method is a widely used geophysical method in geothermal exploration. It is used to image subsurface resistivity structures from shallow depths up to several kilometers of depth. Resistivity imaging using MT method in high-enthalpy geothermal systems is an effective tool to identify conductive clay layers that cover the geothermal systems and to detect a potential reservoir. A resistivity model is vital for deciding the location of pilot and production sites at the early stages of a geothermal project. In this study, a 3-D resistivity model of Aluto-Langano geothermal field was constructed to map structures related to a geothermal resource. The inversion program, ModEM was used to recover the 3-D resistivity model of the study area. The 3-D inversion result revealed the three main resistivity structures: a high-resistivity surface layer related to unaltered volcanic rocks at shallow depth, underlain by a conductive zone associated with the presence of conductive clay minerals, predominantly smectite. Beneath the conductive layer, the resistivity increases gradually to higher values related to the formation of high-temperature alteration minerals such as chlorite and epidote. The resistivity model recovered from 3-D inversion in Aluto-Langano corresponds very well to the conceptual model for high-enthalpy volcanic geothermal systems. The conductive clay cap is overlying the resistive propylitic upflow zone as confirmed by the geothermal wells in the area.
AB - Magnetotelluric (MT) method is a widely used geophysical method in geothermal exploration. It is used to image subsurface resistivity structures from shallow depths up to several kilometers of depth. Resistivity imaging using MT method in high-enthalpy geothermal systems is an effective tool to identify conductive clay layers that cover the geothermal systems and to detect a potential reservoir. A resistivity model is vital for deciding the location of pilot and production sites at the early stages of a geothermal project. In this study, a 3-D resistivity model of Aluto-Langano geothermal field was constructed to map structures related to a geothermal resource. The inversion program, ModEM was used to recover the 3-D resistivity model of the study area. The 3-D inversion result revealed the three main resistivity structures: a high-resistivity surface layer related to unaltered volcanic rocks at shallow depth, underlain by a conductive zone associated with the presence of conductive clay minerals, predominantly smectite. Beneath the conductive layer, the resistivity increases gradually to higher values related to the formation of high-temperature alteration minerals such as chlorite and epidote. The resistivity model recovered from 3-D inversion in Aluto-Langano corresponds very well to the conceptual model for high-enthalpy volcanic geothermal systems. The conductive clay cap is overlying the resistive propylitic upflow zone as confirmed by the geothermal wells in the area.
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U2 - 10.1016/j.jafrearsci.2017.12.017
DO - 10.1016/j.jafrearsci.2017.12.017
M3 - Article
AN - SCOPUS:85042142950
SN - 1464-343X
VL - 139
SP - 307
EP - 318
JO - Journal of African Earth Sciences
JF - Journal of African Earth Sciences
ER -