Structural Geology Identification based on Derivative Analysis Gravity Data in Tangkuban Perahu Mountain


  • Syamsurijal Rasimeng Geophysics Engineering, Engineering Faculty Universitas Lampung
  • Tectona Putra Epriyan Pratama Geophysics Engineering, Engineering Faculty, Universitas Lampung
  • Rahmat Catur Wibowo Geology Engineering Department, Engineering Faculty Universitas Lampung



Gravity, structure geology, modeling, tangkuban perahu, geothermal


The earth is composed of structures with different rock types, properties, and characteristics and can be known by applying the laws of physics in the form of geophysical methods such as the gravity method. The gravity method is a passive geophysical method that is widely used for geodynamic and exploration studies in estimating fault structures. The aim of this research is to model the subsurface geological structure based on the results of derivative analysis of gravity data related to geothermal prospects. The data used are GGMplus gravity acceleration data and topography (elevation) from each measurement point, totaling 6889. The data was then subjected to several corrections to produce a complete Bouguer anomaly. Then, the next stage is derivative analysis, which is used to obtain a subsurface geological structure model and geothermal prospects for the Tangkuban Perahu area. Based on the correlation between derivative analysis and two-dimensional modeling results, it can be seen that the Tangkuban Perahu geothermal system is controlled by structures in the form of horsts and grabens formed due to Tangkuban Perahu volcanic activity. The Tangkuban Perahu geothermal reservoir prospect is estimated to be at a depth of around 0.6 km – 2.8 km with a density ranging from 2.15 g/cc to 2.45 g/cc, which is estimated to be basalt breccia.


Download data is not yet available.


E. Huenges and P. Ledru, Geothermal energy systems: exploration, development, and utilization. 2011.

S. Sudarman, K. Pudyastuti, and S. Aspiyo, “Geothermal Development Progress In Indonesia: Geothermal Development Progress in Indonesia: COUNTRY Country Update 1995-2000,” Proceedings World Geothermal Congress 2000, pp. 455–460, 2000.

M. Sarkowi and R. C. Wibowo, “Geothermal Reservoir Identification based on Gravity Data Analysis in Rajabasa Area- Lampung,” RISET Geologi dan Pertambangan, vol. 31, no. 2, p. 77, 2021, doi: 10.14203/risetgeotam2021.v31.1164.

M. S. Mohamed El-Tokhey, Mohamed Elhabiby, Ahmed Ragheb, “Gravity and Density Relationship,” Int J Sci Eng Res, vol. 6, no. 1, pp. 1359–1363, 2015.

A. Zaenudin, R. Risman, I. G. B. Darmawan, and I. B. S. Yogi, “Analysis of gravity anomaly for groundwater basin in Bandar Lampung city based on 2D gravity modeling,” in Journal of Physics: Conference Series, Bandar Lampung: IOP Publishing, 2020, pp. 0–7. doi: 10.1088/1742-6596/1572/1/012006.

W. Andari, Karyanto, and R. Kurniawan, “Identifikasi Batas Sub-Cekungan Hidrokarbon Menggunakan Analisis SHD (Second Horizontal Derivative) dan SVD (Second Vertical Derivative) Berdasarkan Korelasi Data PT. Chevron Pasific Indonesia satu metode yang ada dalam geofisika gravitasi akibat var,” Jurnal Geofisika Eksplorasi, vol. 5, no. 1, pp. 60–74, 2019, doi: 10.23960/jge.v.

S. Soerjadji, “Geothermal Exploration Drilling and N Kamojang, West Java Indonesia Testing I,” no. June 1976, 2000.

M. Y. Kamah, A. Armando, D. L. Rahmani, and S. Paramitha, “Enhancement of subsurface geologic structure model based on gravity, magnetotelluric, and well log data in Kamojang geothermal field,” IOP Conf Ser Earth Environ Sci, vol. 103, no. 1, 2018, doi: 10.1088/1755-1315/103/1/012013.

H. Saibi, J. Nishijima, S. Ehara, and E. Aboud, “Integrated gradient interpretation techniques for 2D and 3D gravity data interpretation,” Earth, Planets and Space, vol. 58, no. 7, pp. 815–821, 2006, doi: 10.1186/BF03351986.




How to Cite

S. Rasimeng, T. P. E. . Pratama, and R. C. Wibowo, “Structural Geology Identification based on Derivative Analysis Gravity Data in Tangkuban Perahu Mountain”, JESRsf, vol. 6, no. 1, Jun. 2024.