Pengembangan Model Perhitungan Saturasi Air (Sw) Untuk Pemodelan Saturation Height Function (SHF) Di Lapangan "MBES"

Authors

  • Marojahan Benedict Efrata, S.T. Institut Teknologi Bandung
  • Dr. Dedy Irawan, S.T., M.T. Institut Teknologi Bandung
  • Pahala Dominicus Sinurat, ST., M.Sc. Institut Teknologi Bandung

DOI:

https://doi.org/10.31599/0ghc0336

Keywords:

Water Saturation (Sw), Saturation Height Function (SHF), Reservoir Modeling, Carbonate Formation

Abstract

The determination of water saturation (Sw) is crucial in reservoir modeling as it significantly impacts hydrocarbon volumetrics calculations. Current methods such as Archie’s and Simandoux approaches often face challenges in capturing the complexities of heterogeneous reservoir rocks, particularly in carbonate formations. This study aims to develop an improved method for calculating Sw that enhances Saturation Height Function (SHF) modeling, especially in carbonate reservoirs, and can be validated with well log data. The proposed model offers a more accurate and efficient alternative by reducing the reliance on core permeability data and addressing the shortcomings of traditional methods. The research was conducted at the MBES field, located offshore in the Java Sea, Indonesia, focusing on the Talang Akar formation. The method integrates well log data and new computational techniques to predict water saturation in transition zones between oil, gas, and water. Results show significant improvements in the accuracy of SHF modeling, ultimately leading to more reliable predictions of hydrocarbon reserves and efficient reservoir management.

Downloads

Download data is not yet available.

Author Biographies

  • Dr. Dedy Irawan, S.T., M.T., Institut Teknologi Bandung

    Jl. Ganesa No. 10
    Coblong, Kota Bandung, Jawa Barat
    Indonesia 40132
    [email protected]

  • Pahala Dominicus Sinurat, ST., M.Sc., Institut Teknologi Bandung

    Jl. Ganesa No. 10
    Coblong, Kota Bandung, Jawa Barat
    Indonesia 40132
    [email protected]

References

Doveton, J. H. (2014). Principles of Mathematical Petrophysics. Kansas Geological Survey.

Omeke, J. E., Ugwoke, M., & O, A. B. (2014). A New Approach to Water Saturation Modeling and Distribution in Dynamic Models Using Log Derived Saturation Height Function (SHF): A Case Study of Niger Delta Province. SPE. http://dx.doi.org/10.2118/172375-MS

Tohidi, E., Hesan, M., Azad, A., Abbasi, M., & Sadeghnejad, S. (2023). Implementing pore size distribution into saturation height function modelling of reservoir rock types: A case study on a carbonate gas reservoir. Journal of Petroleum Science and Engineering, 221, 1055-1067. http://dx.doi.org/10.1016/j.jgsce.2023.205188

Esmaeili, B., Rahimpour-Bonab, H., Kadkhodaie, A., Ahmadi, A., & Hosseinzadeh, S. (2022). Developing a saturation-height function for reservoir rock types and comparing the results with the well log-derived water saturation, a case study from the Fahliyan formation, Dorood oilfield, Southwest of Iran. Journal of Petroleum Science and Engineering, 214, 110456. https://doi.org/10.1016/j.petrol.2022.110268

Saemi, M., & Askari, A. A. (2017). New Integrated Technique for Saturation Height Function Modeling based on Modified EQR Method. Journal of Petroleum Science and Engineering, 158, 1-12. http://dx.doi.org/10.52716/jprs.v7i1.166

Lian, P. Q., Tan, X. Q., Ma, C. Y., Feng, R. Q., & Gao, H. M. (2015). Saturation modeling in a carbonate reservoir using capillary pressure based saturation height function: a case study of the Svk reservoir in the Y Field. Journal of Petroleum Geology, 38(3), 217-230.https://doi.org/10.1007/s13202-015-0159-9

Marojahan Benedict Efrata, Widya Spalanzani, Sekar Ayu Citrowati. (2024). Classification of Rock Types Using Machine Learning. Jurnal Jaring SainTek Vol.6, No.2, Oktober 2024, pp. 99 – 108. e-ISSN : 2656-9485 https://doi.org/10.31599/2hfrbw48

Marojahan Benedict Efrata, Basith Febriyanto, Arief Nurhidayat, (2022). Teknologi Slim Hole Drilling Dalam Pengembangan Energi Geothermal di Indonesia. Journal of Engineering Environment Energy and Sciece. Vol.1, No.2, Juni 2022, pp. 89-98 e-ISSN : 2828-6170

https://doi.org/10.31599/joes.v1i2.1219

Mohammadian, E., Kheirollahi, M., Liu, B., & Sabet, M. (2022). A case study of petrophysical rock typing and permeability prediction using machine learning in a heterogeneous carbonate reservoir in Iran. Scientific Reports, 12(4505). https://doi.org/10.1038/s41598-022-08575-5

Nguyen, D. T., Ha, M. Q., Nguyen, V. H., Phan, H. T., Hoang, C. M., & Truong, H. K. (2023). Developing a Saturation Height Function (SHF) for the classified Hydraulic Flow Unit, a case study from the Middle Miocene Carbonate reservoir in the Song Hong Basin, Vietnam. Journal of Petroleum Science and Engineering, 236, 107557. http://dx.doi.org/10.46326/JMES.2023.64(6).01

Ran, X., Xue, L., Zhang, Y., Liu, Z., Sang, X., & He, J. (2019). Rock Classification from Field Image Patches Analyzed Using a Deep Convolutional Neural Network. MDPI Journal https://doi.org/10.3390/math7080755

Sekar Ayu Citrowati, Kevin Febri, Marojahan Benedict Efrata, Widya Spalanzani. (2024). Optimalisasi Lereng Produksi Quarry Batugamping J dengan Metode Limit Equilibrium. Jurnal Jaring SainTek (JJST)Vol.6, No.2, Vol2024, pp. 71 -80e-ISSN: 2656-9485.

https://doi.org/10.31599/cvfkv256

Prasad, S. R., Madaka, N. R., Das, D., Kathuria, S., & Kumar, R. (2010). Rock Physics Modeling utilizing Saturation Height Function for Resource Assessment in Gas Reservoir of Giant Offshore Field in Western India. Journal of Petroleum Science and Engineering, 74(3), 352-367.

Downloads

Published

2025-04-30

Issue

Section

Artikel