Magnetotellurics Data Application in Medium Enthalpy Geothermal Prospects
dc.contributor.author | MUTEBI, Denis | |
dc.contributor.author | HARYANTO, Agus Didit | |
dc.contributor.author | WIWID, Joni | |
dc.contributor.author | KAZINDA, Michael | |
dc.date.accessioned | 2025-06-16T09:54:35Z | |
dc.date.available | 2025-06-16T09:54:35Z | |
dc.date.issued | 2020-06-26 | |
dc.description.abstract | The research is aimed at delineating the reservoir and defining the geothermal system of Lili-Sepporaki through the interpretation of magnetotellurics data. Lili-Sepporaki is an andesitic-trachytic volcanic rich geothermal prospect located in western Sulawesi Province, Indonesia. In essence, hydrothermal conditions affect the properties of rocks, such as resistivity, and this can be studied using magnetotellurics, a passive electromagnetic technique. Magnetotellurics data were processed and interpreted using Phoenix and WinGLink software programs. A total of five two-dimensional resistivity models and five elevation maps were produced, and these showed a general decrease in rocks’ resistivity with depth. The analysis found out that the reservoir stretches from the center, northwards. The reservoir substantially starts to be seen at a depth of 600 m below sea level and deepens towards the east and northwest. Another magnetotelluric survey should be carried out with more stations, mainly aimed at a three-dimensional inversion, to get a detailed geothermal model and also to study the dense, low resistive structure in the southeast. | |
dc.identifier.citation | MUTEBI, D., Andi Agus, N. U. R., HARYANTO, A. D., WIWID, J., & KAZINDA, M. (2020). Magnetotellurics Data Application in Medium Enthalpy Geothermal Prospects. | |
dc.identifier.other | DOI: 10.25171/InstGeoph_PAS_Publs-2020-003 | |
dc.identifier.uri | https://nru.uncst.go.ug/handle/123456789/11867 | |
dc.language.iso | en | |
dc.publisher | Geophysical Data Bases, Processing and Instrumentation | |
dc.title | Magnetotellurics Data Application in Medium Enthalpy Geothermal Prospects | |
dc.type | Article |