Probabilistic Estimation of Geothermal Reserves in Dieng Field with JIWA Power Density and JIWA Volumetric

Authors

  • Mukhammad Sholikhuddin Universitas Pertamina
  • Dzakhi Fahri Universitas Pertamina
  • Novanto Sihotang Universitas Pertamina
  • Raka Sudira Wardana Universitas Pertamina

DOI:

https://doi.org/10.31315/jpgt.v6i1.14387

Abstract

Geothermal energy is a renewable energy source that is environmentally friendly and can be utilized for power generation. This study aims to estimate geothermal reserves in Dieng Field using Monte Carlo simulation to overcome uncertainty in the calculation of geothermal resources. The methods used include the Power Density and Volumetric Stored Heat approaches by considering geophysical, geological, and well logging data. Monte Carlo simulation produces probabilistic estimates categorized into P10, P50, and P90 scenarios. The results show that the potential geothermal reserves in Dieng Field range from 56.91 MW (P10) to 113.41 MW (P90) based on the Volumetric method and between 64.22 MW (P10) to 111.22 MW (P90) based on the Power Density method. These results provide a comprehensive picture of the geothermal potential that can be utilized, and support decision-making in the sustainable development of geothermal energy.

Author Biographies

Mukhammad Sholikhuddin, Universitas Pertamina

Faculty Of Technology Exploration and Production, Petroleum Engineering

Dzakhi Fahri, Universitas Pertamina

Faculty Of Technology Exploration and Production, Petroleum Engineering

Novanto Sihotang, Universitas Pertamina

Faculty Of Technology Exploration and Production, Petroleum Engineering

Raka Sudira Wardana, Universitas Pertamina

Head of Petroleum Engineering Study Program, Universitas Pertamina

References

Alamsyah, R. R., Maratama, I., Yusra, S. O., Atmaja, R. W., & Arrasy, I. Y. M. (2024). Project Development Update of the Dieng Unit-2 Geothermal Power Plant, Dieng Geothermal Field, Indonesia. PROCEEDINGS, 49th Workshop on Geothermal Reservoir Engineering Stanford University.

Alamsyah, R. R., Yusra, S. O., Maratama, I., & Wilmarth, M. (2023). Individual Feedzone Characterization in Two Phase Geothermal Reservoir for Preliminary Indication While Drilling: A Case Study Dieng Field, Indonesia. PROCEEDINGS, 48th Workshop on Geothermal Reservoir Engineering Stanford University.

Ashat, A., Ridwan, R., Prabata, W., Situmorang, J., Adityawan, S., Ibrahim, R. F., & Raya, W. J. B. (2019). NUMERICAL SIMULATION UPDATE of DIENG GEOTHERMAL FIELD, CENTRAL JAVA, INDONESIA. PROCEEDINGS, 49th Workshop on Geothermal Reservoir Engineering Stanford University. https://api.semanticscholar.org/CorpusID:220933247

Kencana, A. Y., Elfina, Alibazah, J. S., Fajri, R. J., Supijo, M. C., & Nurpratama, M. I. (2024). Initial State Fluid Geochemistry of the Dieng Geothermal Field, Indonesia: New Constraints for Conceptual Model. PROCEEDINGS, 49th Workshop on Geothermal Reservoir Engineering Stanford University.

Maratama, I., Alamsyah, R. R., Yusra, S. O., Reski, E., & Atmaja, R. W. (2024). Constructing the Sileri Area’s Permeability Distribution Through Integrated Analysis of Surface Fault, Mechanical Zone, and PTS Trend. PROCEEDINGS, 49th Workshop on Geothermal Reservoir Engineering Stanford University.

Ramadhan, Y., Channel, K., & Herdianita, N. R. (2013). Hotwater Geochemistry for Interpreting The Condition of Geothermal Reservoir, Dieng Plateau Case, Banjarnegara-Wonosobo Regency, Central Java. Indonesian Journal on Geoscience, 8(2), 89–96. https://doi.org/10.17014/ijog.8.2.89-96

Rosiani, D., Indayani, R., Cycilia Rymoza, V., & Setyo Rahayu, T. (2024). ESTIMASI POTENSI CADANGAN ENERGI PANAS BUMI LAPANGAN Z MENGGUNAKAN SIMULASI STOCHASTIC MONTE CARLO. Prosiding Seminar Nasional Teknologi Energi Dan Mineral, 4(1), 931–937. https://doi.org/10.53026/prosidingsntem.v4i1.357

Rosid, M. S., & Sibarani, C. (2021). Reservoir identification at Dieng geothermal field using 3D inversion modeling of gravity data. Journal of Physics: Conference Series, 1816(1), 012083. https://doi.org/10.1088/1742-6596/1816/1/012083

Saptaji, N. M. (2001). Teknik Panas Bumi. Institut Teknologi Bandung. https://scholar.google.co.id/citations?view_op=view_citation&hl=en&user=RVWcd8UAAAAJ&citation_for_view=RVWcd8UAAAAJ:u5HHmVD_uO8C

Sirait, P., Ridwan, R. H., & Battistelli, A. (2015). Reservoir Modeling for Development Capacity of Dieng Geothermal Field, Indonesia. PROCEEDINGS, Fourtieth Workshop on Geothermal Reservoir Engineering Stanford University.

Supijo, M. C., Elfajrie, I. A., Kamila, Z., Elfina, Fajri, R. J., Alibazah, J. A., Kencana, A. Y., Nurpratama, M. I., & Ashat, A. (2024). Dieng Reservoir Numerical Model: A Robust Update. PROCEEDINGS, 49th Workshop on Geothermal Reservoir Engineering Stanford University.

Widi, P. E., & Wijaya Isma. (2011). PERKIRAAN POTENSI STATIK LAPANGAN PANASBUMI GUCI DENGAN METODE SIMULASI MONTECARLO. Jurnal Ilmu Kebumian Teknologi Mineral, 24(1), 24.

Wilmarth, M., Stimac, J., & Ganefianto, G. (2021). Power Density in Geothermal Fields, 2020 Update. Proceedings World Geothermal Congress 2020+1.

Zarrouk, S. J., & Simiyu, F. (2013). A REVIEW OF GEOTHERMAL RESOURCE ESTIMATION METHODOLOGY. 35th New Zealand Geothermal Workshop: 2013 Proceedings.

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Published

2025-09-16

How to Cite

Sholikhuddin, M., Fahri, D., Sihotang, N., & Wardana, R. S. (2025). Probabilistic Estimation of Geothermal Reserves in Dieng Field with JIWA Power Density and JIWA Volumetric. Journal of Petroleum and Geothermal Technology, 6(1), 12–21. https://doi.org/10.31315/jpgt.v6i1.14387

Issue

Vol. 6 No. 1 (2025): May

Section

Articles

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