Integrative Analysis of the Geothermal Structure in Kepahiang: Insights from Magnetotelluric, Gravity, and Remote Sensing Techniques
DOI:
10.29303/jppipa.v9i8.4576Published:
2023-08-25Issue:
Vol. 9 No. 8 (2023): AugustKeywords:
Geothermal, Kepahiang, Lineament, Magnetotelluric, ReservoirResearch Articles
Downloads
How to Cite
Downloads
Metrics
Abstract
This research was conducted to determine the structure and depth of the reservoir using remote sensing as an initial survey to assess the geological alignment direction, employing ALOS PALSAR radar imagery. Subsequently, further surveys were conducted using the magnetotelluric and gravity methods to analyze the structure and depth of the geothermal reservoir. The magnetotelluric data were processed using Phoenix software, where the data was transformed from the time domain to the frequency domain using Fourier transformation, and processed to obtain apparent resistivity and phase. The MT data was integrated with gravity data, and the gravity data underwent standard correction procedures to obtain the Complete Bouguer Anomaly (CBA) map. Two-dimensional (2D) inversion using the NLCG algorithm and 2D forward modeling of the gravity data were performed. The dominant alignment pattern obtained was northwest-southeast, with an orientation of 320° NW or 140° SE. Based on the results of geological alignment, a profile is produced that is perpendicular to the straightness. The results from the 2D inversion and gravity forward modeling indicated that the geothermal reservoir is likely located beneath the caprock at an estimated depth of approximately 1800 m, with resistivity values ranging from 32 to 256 Ohm-m and a density value is 2.6 gr/cc.
References
Abdel, Z. M., Saibi, H., Mansour, K., Khalil, A., & Soliman, M. (2018). Geothermal Exploration Using Airborne Gravity and Magnetic Data at Siwa Oasis, Western Desert, Egypt. Renewable and Sustainable Energy Reviews, 82, 3824–3832. https://doi.org/10.1016/j.rser.2017.10.088
Arsadipura, S., Djukardi, D., & Kholid, M. (2011). Penyelidikan Geofisika Terpadu Gaya Berat, Geomagnet dan Geolistrik Daerah Panas Bumi Kepahiang, Kecamatan Kaba Wetan, Kabupaten Kepahiang, Provinsi Bengkulu. Prosiding Hasil Kegiatan Pusat Sumber Daya Geologi, 1, 653–663.
Bayer, P., Attard, G., Blum, P., & Menberg, K. (2019) The Geothermal Potential of Cities. Renewable and Sustainable Energy Reviews, 106, 17–30. https://doi.org/10.1016/j.rser.2019.02.019
Budiraharjo, S., Utama, W., Warnana, D. D., & Darmawan, A. (2017). Analisis Inversi 2D Metode Occam untuk Memodelkan Resistivitas Bawah Permukaan Data Magnetotellurik. Jurnal Geosaintek, 3(1), 1-12. https://doi.org/10.12962/j25023659.v3i1.2950
Cagniard, L. (1953). Basic Theory of the Magnetoâ€Telluric Method of Geophysical Prospecting. Geophysics, 18(3), 605–635. https://doi.org/10.1190/1.1437915
Chave, A., & Jones, A. (2012). The Magnetotelluric Method: Theory and Practice. Cambridge: Cambridge University Press. https://doi.org/10.1017/ CBO9781139020138
Kusnadi, D., Nurhadi, M., & Suparman, S. (2014). Penyelidikan Terpadu Geologi dan Geokimia Daerah Panas Bumi Kabupaten Kepahiang, Bengkulu. Prosiding Hasil Kegiatan Pusat Sumber Daya Geologi, Bandung, Indonesia, 435-445. Retrieved from https://123dok.com/document/yd2rwr1q
Gamble, T., Goubau, W. M., & Clarke, J. (1979). Magnetotellurics with a Remote Magnetic Reference. Geophysics, 44, 53–68. https://doi.org/10.1190/1.1440923
Gasperikova, E., Rosenkjaer, G. K., Arnason, K., Newman, G. A., & Lindsey, N. J. (2015). Resistivity Characterization of the Krafla and Hengill Geothermal Fields through 3D MT Inverse Modeling. Geothermics, 57, 246–257. https://doi.org/10.1016/j.geothermics.2015.06.015
Herlambang, R. F., & Novranza, K. (2016). Pemetaan Kelurusan Menggunakan Remote Sensing dan Korelasinya terhadap Distribusi Manifestasi Permukaan di Daerah Potensi Geothermal Kepahiang, Bengkulu. Prosiding Seminar Nasional Fisika (E-Journal), 5, SNF2016-EPA. https://doi.org/10.21009/0305020412
Hochstein, M. P., & Sudarman, S. (1993). Geothermal Resources of Sumatra. Geothermics, 22(3), 181-200. https://doi.org/10.1016/0375-6505(93)90042-L
Iqbal, M., & Juliarka, B. R. (2019). Analisis Kerapatan Kelurusan (Liniament Density) di Lapangan Panas Bumi Suoh-Sekincau, Lampung. Journal of Science and Applicative Technology, (S.I.), 3(2), 61-67. https://doi.org/10.35472/jsat.v3i2.212
Isa, M., Cesarian, D. P., Abir, I. A., Yusibani, E., Surbakti, M. S., & Umar, M. (2020). Remote Sensing Satellite Imagery and In-Situ Data for Identifying Geothermal Potential Sites: Jaboi, Indonesia. International Journal of Renewable Energy Development, 9(2), 237-245. https://doi.org/10.14710/ijred.9.2.237-245
Kasbani, K. (2009). Tipe Sistem Panas Bumi di Indonesia dan Estimasi Potensi Energinya. Buletin Sumber Daya Geologi, 4(3), 23-30. https://doi.org/10.47599/bsdg.v4i3.184
Lillesand, T. M., Kiefer, R. W., & Chipman, J.W. (2004). Remote Sensing and Image Interpretation (5th Edition). New York: John Wiley & Sons Inc.
Maithya, J., Fujimitsu, Y., & Nishijima, J. (2020). Geothermics Analysis of Gravity Data to Delineate Structural Features Controlling the Eburru Geothermal System in Kenya. Geothermics, 85, 101795. https://doi.org/10.1016/j.geothermics.2019.101795
Novranza, K., & Cahyaningrum, D. (2018). Remote Sensing Technology for Mapping Area of Interest (AoI) in Electro Magnetic Survey Design in KMS Geothermal Field. Prosiding-Seminar Nasional, 15–16. Retrieved from http://senter.ee.uinsgd.ac.id/repositori/index.php/prosiding/article/view/senter2017p2
Pellerin, L., Johnston, J. M., & Hohmann, G. W. (1996). A Numerical Evaluation of Electromagnetic Methods in Geothermal Exploration. Geophysics, 61(1), 121–130. https://doi.org/10.1190/1.1443931
Qin, Q., Zhang, N., Nan, P., & Chai, L. (2011) Geothermal Area Detection Using Landsat ETM+Thermal Infrared Data and Its Mechanistic Analysis, A Case Study in Tengchong, China. Intern. J. Appl. Earth Observ. Geoinform, 13(4), 552-559. http://10.1016/j.jag.2011.02.005
Risdianto, D., & Kusnadi, D. (2010). The Application of a Probability Graph in Geothermal Exploration. Proceedings World Geothermal Congress 2010, Bali, Indonesia, 1-6. Retrieved from https://www.geothermal-energy.org/pdf/IGAstandard/WGC/2010/1188.pdf
Rodi, W., & Mackie, R. L. (2001). Nonlinear Conjugate Gradients Algorithm for 2-D Magnetotelluric Inversion. Geophysics, 66(1), 174–187. https://doi.org/10.1190/1.1444893
Iswahyudi, S., Saepuloh, A., & Widagdo, A. (2014). Delineating Outflow Zones Using Linear Features Density (LFD) Derived from Landsat Imagery at Paguyangan, Brebes, Central Java. Proceedings, 3rd International ITB Geothermal Workshop. Retrieved from https://www.researchgate.net/publication/355444540
Saibi, H., Khosravi, S., Cherkose, B. A., Smirnov, M., Kebede, Y., & Fowler, A. R. (2021). Magnetotelluric Data Analysis Using 2D Inversion: A Case Study from Al-Mubazzarah Geothermal Area (AMGA), Al-Ain, United Arab Emirates. Heliyon, 7(6), e07440. https://doi.org/10.1016/j.heliyon.2021.e07440
Saptadji, N. M. (2001). Teknik Panas Bumi, Diktat Kuliah Prodi Teknik Perminyakan. Bandung: ITB.
Sarjani, F., Yohandri, Y., & Sumantyo, J. T. S. (2017). Pengolahan Citra Satelit ALOS PALSAR Menggunakan Metode Polarimetri untuk Klasifikasi Lahan Wilayah Kota Padang. EKSAKTA, 18(1), 69-77. https://doi.org/10.24036/eksakta/vol18-iss01/21
Sihombing, R. B., & Rustadi. (2018). Metode Gaya Berat. Jurnal Geofisika Eksplorasi, 4(2), 159-172. https://doi.org/10.23960/jge.v4i2.14
Silva-Fragoso, A., Ferrari, L., Norini, G., Orozco-Esquivel, T., Corbo-Camargo, F., Bernal, J. P., Castro, C., & Arrubarrena-Moreno, M. (2021). Geology and Conceptual Model of the Domuyo Geothermal Area, Northern Patagonia, Argentina. Journal of Volcanology and Geothermal Research, 420, 107396. https://doi.org/10.1016/j.jvolgeores.2021.107396
Sugianto, A., & A.W, A. K. (2012). Survei Magnetotellurik Daerah Pana Bumi Kepahiang Kabupaten Kepahiang, Bengkulu. Pusat Sumber Daya Geologi, 19. Retrieved from http://psdg.bgl.esdm.go.id/prosiding_2012/Buku1Energi/17.SURVEIMAGNETOTELLURIKDAERAHPANASBUMIKEPAHIANG.pdf
Taqiuddin, Z., Nordiana, M., & Rosli, S. (2016). Utilizing of Geophysical Method for Geothermal Exploration in Aceh Besar (Indonesia). Intern. Res. J. Eng. Technol, 03(04), 2234-2238. Retrieved from https://www.researchgate.net/publication/307174069
Yamamoto, A. (1999). Estimating the Optimum Reduction Density for Gravity Anomaly: A Theoretical Overview. Journal of the Faculty of Science, Hokkaido University. Series 7, Geophysics, 11(3), 577–599. Retrieved from http://hdl.handle.net/2115/8850
Author Biographies
Nindia E. Larasati, Institut Teknologi Bandung
Agus Laesanpura, Institut Teknologi Bandung
Asep Sugianto, Center for Volcanology and Geological Hazard Mitigation, Bandung
License
Copyright (c) 2023 Nindia E. Larasati, Agus Laesanpura, Asep Sugianto
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
