Analisis Tekanan Pori dan Karakteristik Overpressure pada Lapangan “GEO”, Cekungan Sumatra Selatan

Rizky Andra Prasetya, Budhi Setiawan

Abstract


The presence of abnormal pore pressure zones in the South Sumatra Basin represents a significant technical challenge in drilling operations, with the potential to trigger serious incidents such as kicks and blowouts if not accurately predicted in advance. This study aims to estimate pore pressure values, characterize overpressure generation mechanisms, and identify their spatial distribution in the "GEO" Field, South Sumatra Basin. Pore pressure estimation was conducted using the Eaton method based on sonic log data through the construction of a Normal Compaction Trend (NCT) curve across four drilling wells, which was subsequently integrated with Gas While Drilling (GWD) data analysis as an independent validation approach. The results identified two genetically distinct overpressure mechanisms operating at different stratigraphic levels. Loading mechanism overpressure zone, attributed to disequilibrium compaction was consistently identified in association with the Air Benakat Formation and Gumai Formation intervals at depth ranges of 530–1,623 mTVD, with pore pressure values ranging from 797 to 2,811 psi. Unloading mechanism overpressure zone, characterized by distinctive sonic log and resistivity reversal phenomena, was identified within the Talang Akar Formation interval, with pore pressure values ranging from 1,254 to 2,893 psi, consistently higher than those observed in the loading zone. The spatial distribution of both overpressure zones is regional in nature and stratigraphically consistent across all analyzed wells. These findings provide a scientific contribution as the primary basis for optimizing drilling mud weight planning and casing design, thereby effectively mitigating Non-Productive Time (NPT) risks in future drilling operations at the "GEO" Field.

Keywords


Compaction, Eaton, Loading, Overpressure, Unloading

Full Text:

PDF

References


Bowers, G. L. (1995). Pore Pressure Estimation From Velocity Data: Accounting for Overpressure Mechanisms Besides Undercompaction. SPE Drilling & Completion, 10(02), 89–95. https://doi.org/10.2118/27488-PA.

Eaton, B. A. (1975). The Equation for Geopressure Prediction from Well Logs. Fall Meeting of the Society of Petroleum Engineers of AIME. https://doi.org/10.2118/5544-MS.

Liu, X., Liu, B., Lyu, F., Li, C., & Zu, S. (2026). Pore pressure prediction method based on quantum support vector regression. Engineering Applications of Artificial Intelligence, 178. https://doi.org/10.1016/j.engappai.2026.115069.

Lu, B., Wang, Z., & Zhang, Y. (2022). Progress of theories and methods for prediction and detection of pore pressure in carbonate rock. Acta Petrolei Sinica, 43, 571–580. https://doi.org/https://doi.org/10.7623/syxb202204010.

Mouchet, J. P., & Mitchell, A. (1989). Abnormal pressures while drilling : origins, prediction, detection, evaluation (2nd ed.). Editions Technip.

Ngoroyemoto, T. F. K. (2021). Evaluating the Implications of Lineaments on Petroleum Fields: South Sumatra, Indonesia. Journal of Applied Geology, 6(2), 77. https://doi.org/10.22146/jag.58161.

Peng, X., Yuan, B., Zhang, W., Wu, S., Fan, T., Wang, B., & Chen, Z. (2026). A deep learning architecture for fast simulation of subsurface in-situ pressure profile dynamics based on Conditional Wasserstein Generative Adversarial Network with Gradient Penalty. Engineering Applications of Artificial Intelligence, 164. https://doi.org/10.1016/j.engappai.2025.113277.

Radwan, A. E. (2022). A multi-proxy approach to detect the pore pressure and the origin of overpressure in sedimentary basins: An example from the Gulf of Suez rift basin. Frontiers in Earth Science, 10. https://doi.org/10.3389/feart.2022.967201..

Radwan, A. E., Abudeif, A. M., Attia, M. M., & Mohammed, M. A. (2019). Pore and fracture pressure modeling using direct and indirect methods in Badri Field, Gulf of Suez, Egypt. Journal of African Earth Sciences, 156, 133–143. https://doi.org/10.1016/j.jafrearsci.2019.04.015

Ramdhan, A. M. (2022). ANALISIS DAN PREDIKSI OVERPRESSURE DI CEKUNGAN SEDIMEN. ITB Press.

Ramdhan, A. M., & O’connor, S. (2022). Generation and estimation of overpressure from wireline logs using deterministic approaches in western Indonesia’s Tertiary sedimentary basins. Petroleum Geoscience, 28(3). https://doi.org/10.1144/petgeo2021-062.

Swarbrick, R. E., & Osborne, M. J. (1998). Mechanisms that generate abnormal pressure: an overview. In Abnormal Pressures in Hydrocarbon Environments (AAPG Memoir 70, pp. 13–34). AAPG.

Terzaghi, K. (1943). Theoretical Soil Mechanics. Wiley. https://doi.org/10.1002/9780470172766.

Tingay, M. R. P., Hillis, R. R., Swarbrick, R. E., Morley, C. K., & Damit, A. R. (2009). Origin of overpressure and pore-pressure prediction in the Baram province, Brunei. American Association of Petroleum Geologists Bulletin, 93(1), 51–74. https://doi.org/10.1306/08080808016.

Traugott, M. (1997). Deepwater Technology Supplement to World Oil, August 1997 Pore Pressure and Fracture Pressure Determinations in Deepwater. World Oil, 218(8), 68–70.

Zhang, D. Y., Ma, T. S., Liu, Y., & Zhang, D. C. (2025). A stacking ensemble approach for pore pressure prediction in real-time during drilling based on mud log data. Petroleum Science, 22(12), 5047–5067. https://doi.org/10.1016/j.petsci.2025.09.020..

Zhang, J. (2011). Pore pressure prediction from well logs: Methods, modifications, and new approaches. In Earth-Science Reviews (Vol. 108, Numbers 1–2, pp. 50–63). https://doi.org/10.1016/j.earscirev.2011.06.001.

Zoback, M. D. (2010). Reservoir Geomechanics. Cambridge University Press.




DOI: https://doi.org/10.37905/jage.v5i1.39130

Refbacks

  • There are currently no refbacks.




Copyright (c) 2026 Rizky Andra Prasetya, Budhi Setiawan

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.