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Identifying Geological Fault Structures Using GGMplus Satellite Data and Derivative Methods to Characterize Mount Endut Geothermal Systems via 3D-Inversion Gravity Modeling
Corresponding Author(s) : Bono Pranoto
Geomatics and Environmental Engineering,
Vol. 19 No. 3 (2025): Geomatics and Environmental Engineering
Abstract
The geological map shows that the Mount Endut area possesses a geothermal system, which is suggested by the presence of geothermal surface manifestations: the Cikawah and Handeleum hot springs. The existence of a subsurface geological fault structure along the manifestations creates good permeability for the geothermal reservoir. The purpose of this study was to utilize Global Gravity Model plus (GGMplus) gravity satellite data to prove the existence of a geological fault structure around the manifestation area with the first horizontal derivative (FHD) and second vertical derivative (SVD) methods; then, we developed a conceptual model of the geothermal system from the 3D-inversion gravity method. Results show a cap suspected of being clay, with a density of 2.52–2.58 g/cm3 at depth of 0–1250 m. The reservoir layer was suspected to be lava rock with a density of 2.60–2.66 g/cm3 at a depth of 1500–3000 m; also, the heat source layer was suspected to be an igneous intrusion with a density of 2.70–2.72 g/cm3 at depth of 1750–3000 m.
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- Sobirin R., Permadi A.N., Akbar A.M., Wildan D., Supriyanto: Analysis geothermal prospect of Mt. Endut using geochemistry methods. AIP Conference Proceedings, vol. 1862(1), 2017, 030187. https://doi.org/10.1063/1.4991291.
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References
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Alqahtani F., Ehsan M., Aboud E., Abdulfarraj M., El-Masry N.: Integrated approach using petrophysical, gravity, and magnetic data to evaluate the geothermal resources at the Rahat Volcanic Field, Saudi Arabia. Frontiers in Earth Science, vol. 11, pp. 1–16, 2023. https://doi.org/10.3389/feart.2023.1135635.
Liu Q., Schmidt M., Sánchez L.: Combination of different observation types through a multi-resolution representation of the regional gravity field using the pyramid algorithm and parameter estimation. Journal of Geodesy, vol. 96(10), pp. 1–20, 2022. https://doi.org/10.1007/s00190-022-01670-5.
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Apeh O.I., Tenzer R.: Selection of an optimum global gravitational model for geological mapping of Afikpo and Anambra Basins in Nigeria. Geodesy and Cartography, vol. 48(2), pp. 92–106, 2022. https://doi.org/10.3846/gac.2022.14551.
Lemenkova P.: GRASS GIS for topographic and geophysical mapping of the PeruChile Trench. Forum Geograficum, vol. 19(2), 2020, pp. 143–157. https://doi.org/10.5775/fg.2020.009.d.
Sehah, Prabowo U.N., Raharjo S.A., Ikhwana A.Z.: Physical modeling of magma chamber of Slamet volcano by means of satellite gravimetric data. Communications in Science and Technology, vol. 7(2), 2022, pp. 160–167. https://doi.org/10.21924/cst.7.2.2022.1001.
Ikhwandi A.F.F.P.F.L., Hadi A.I., Zakariya H., Refrizon R.: Identification of the Manna Segment Sumatran Fault using GGMplus gravity anomaly data with the second vertical derivative (SVD) method. Jurnal Ilmu Fisika Universitas Andalas, vol. 15(2), 2023, pp. 123–136. https://doi.org/10.25077/jif.15.2.123-136.2023.
Putra U.G., Jhanesta W., Iskandarsyah: Interpretation of subsurface fault through multi-level second vertical derivative gravitational data in Bittuang Geothermal Working Area, South Sulawesi, Indonesia. Journal of Geoscience, Engineering, Environment, and Technology, vol. 6(4), 2021, pp. 184–191. https://doi.org/10.25299/jgeet.2021.6.4.7744.
Legowo B., Nailatunisrina R., Purwanto H., Purnama B., Suryanto W.: Modelling of Volcano Lawu fault structure using gravity anomaly to determine landslides potential. IOP Conference Series: Earth and Environmental Science, vol. 986(1), 2022, 012025. https://doi.org/10.1088/1755-1315/986/1/012025.
Reynolds J.M.: An Introduction to Applied and Environmental Geophysics. 2nd ed., John Wiley & Sons, Chichester 2011.
Telford W.M., Geldart L.P., Sheriff R.E.: Applied Geophysics. 2nd ed. Cambridge University Press, Cambridge 1990.
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