Petrophysics Analysis For Determining The Prospect Zone Of A Hydrocarbon Reservoir In The “X” Field Of The Cekungan Banggai
DOI:
https://doi.org/10.70115/ijsta.v1i1.74Keywords:
Reservoir zone, Quantitative, Log DataAbstract
This study aims to determine the hydrocarbon reservoir zones in the ABD-1, ABD-2 and ABD-3 fields which are analyzed using quantitative and qualitative analysis to determine reservoir properties involving gamma ray (GR) log data, neutron log (NPHI) and log density (RHOB). The stage of determining the hydrocarbon content using resistivity log data, NPHI log and RHOB log. Determination of reservoir zones of hydrocarbon reservoirs using resistivity log data analysis and NPHI log data. The quantitative analysis in this study calculates the value of shale volume (Vshale), porosity (Ф), resistivity (RW) and water saturation (SW). The research results obtained from quantitative analysis using the ABD-1 well at depths of 7422 ft -7426 ft, 7869 ft - 7924 ft, 8033 ft - 8100 ft are able to determine the percentage of hydrocarbons contained in the zone. For gas, the value of Sw is 0 – 35, oil has a value of Sw, which is 35 – 65, and water has a price, Sw, which is 65. These percentages cannot be used as a benchmark for the assumption of hydrocarbons containing oil and gas, because if the price of Sw is 35, it could be oil. or vice versa. If using qualitative analysis it is found that the reservoir zone at a depth of 7422 ft – 7426 ft is a gas-containing hydrocarbon. At depths of 7638 ft – 7730 ft are gaseous hydrocarbons. Reservoirs at a depth of 7422 ft – 7426 ft are water-containing hydrocarbons.
References
A. Harsono. (1997). Evaluasi Formasi dan Aplikasi Log, Schlumberger, Edisi-8. Jakarta.
D. Hasanusi, R. Wijaya, A. Priyantoro, N. Herawati, and I. Shahab. (2013). “Diagenetic Events as The Key Improvement of Carbonate Reservoir Quality in The Senoro Field, Central Sulawesi, Indonesia,” presented at the SPE Middle East Oil and Gas Show and Conference, doi: 10.2118/164164-MS.
D. Tiab and E. C. Donaldson. (2015). Petrophysics: Theory and Practice of Measuring Reservoir Rock and Fluid Transport Properties. Gulf Professional Publishing.
D. A. Krygowski. (2003). “Guide to petrophysical interpretation,” Austin Tex. USA.
Esmaeilpour, S., & Ispas, I. (2022). Permeability and Water Saturation Characterization and Prediction in Wellington Oil Field Using Core Analysis and Seismic Inversion.56th U.S. Rock Mechanics/Geomechanics Symposium, Santa Fe, New Mexico, USA. https://doi.org/10.56952/arma-2022-0776
G. B. Asquith, D. Krygowski, and C. R. Gibson. (2004). Basic well log analysis, vol. 16. American Association of Petroleum Geologists Tulsa.
H. Jayadi, I. U. Meidji, danY. H. M. Yusuf, “Analisis Amplitude Versus Offset (Avo) Menggunakan Parameter Petrofisika Lambda Mu Rho (Lmr) Dan Extended Elastic Impedance (Eei) Untuk KarakterisasiReservoar Karbonat,” Teknosains Media Inf. Sains Dan Teknol., vol. 14, no. 1, Jan. 2020, doi: 10.24252/teknosains.v14i1.13330.
H. Jayadi. (2016). “Identifikasi Persebaran Litologi Reservoar Batupasir Menggunakan Analisis Seismik Inversi Impedansi Elastik Di Lapangan Najlaa Formasi Cibulakan Cekungan Jawa Barat Utara,” J. Fis. Fis. Sains Dan Apl., vol. 1, no. 2, pp. 99–106.
H. Panggabean danS. Surono. (2011).“Tektono-Stratigrafi Bagian Timur Sulawesi,” J. Geol.Dan Sumberd. Miner., vol. 21, no. 5, pp. 243–248, doi: 10.33332/jgsm.geologi.21.5.243-248.
I. U. Meidji, H. Jayadi, B. G. M. Saka, A. Wahyuni, dan R. Purwanti. (2005). “Karakterisasi Reservoar Berdasarkan Analisis Petrofisika Batuan Dalam Penentuan Litologi dan Kandungan Hidrokarbon di Cekungan Banggai,” J. Pendidik. Fis., vol. 2, p. 6, 2019.[5]T. Darling, Well Logging and Formation Evaluation. Elsevier
Ito, T., Ohbuchi, A., Nakajima, T., & Xue, Z. (2017). Identifying the source of natural gamma-rays in shallow-marine siliciclastic strata and their significance for shale evaluation: A case study of the CO2 storage aquifer at the Nagaoka site, Japan.Journal of Natural Gas Science and Engineering. https://doi.org/10.1016/J.JNGSE.2017.08.034
J. Chen and T. A. Dickens. (2008). “Effects of uncertainty in rock-physics models on reservoir parameter estimation using seismic amplitude variation with angle and controlled-source electromagnetics data,” Geophys. Prospect., p. 14.
M. I. Nurwidyanto, I. Noviyanti, dan S. Widodo. (2005). “Estimasi Hubungan Porositas Dan Permeabilitas Pada Batupasir (Study Kasus Formasi Kerek, Ledok,Selorejo),” Berk. Fis., vol. 8, no. 3, pp. 87–90
M. S. Kaharuddin, R. Hutagalung, danN. Nurhamdan. (2011). “Perkembangan tektonik dan implikasinya terhadap potensi gempa dan tsunami di kawasan Pulai Sulawesi,” in Proceeding The th HAGI and 40th IAGI Annual Convention and Exhibition, pp. 26–29.
M. Fatimah. (2016). “Lingkungan Pengendapan Area FTM Cekungan Banggai Sula Sulawesi,” Pros. Semin. Nas. XI STTN Yogyak., pp. 6–12.
Olowokere, M., Amadou, H., Alonge, M., & Adekola, E. A. (2019).Hydrocarbon prospectively determination of “eagle field”, coastal swamp ii Niger delta.https://doi.org/10.14419/IJAG.V7I1.11471
P. E. Potter, J. B. Maynard, and W. A. Pryor. (2012). Sedimentology of Shale: Study Guide and Reference Source. Springer Science & Business Media
Putra, F. J., & Talita, A. B. (2021).Cased-hole Gamma Ray Log Assessment and Application to Support Reservoir Characterization at Salak Field in Indonesia. https://doi.org/10.1088/1755-1315/732/1/012005
R. Septianingrum, H. Nugroho, W. K. Hidajat, H. Rachman, danY. Heriadji. (2014). “Penentuan Zona Prospek Reservoir Hidrokarbon Pada Tahap Eksplorasi Dengan Analsis Petrofisika Formasi Baturaja Lapangan ‘Irfa’ Blok Sekayu Cekungan Sumatera Selatan,” Geol. Eng. E-J., vol. 6, no. 2, pp. 531–553.
S. Martosuwito. (2012). “Tectonostratigraphy Of The Eastern Part Of Sulawesi,Indonesia. In Relation To The Terrane Origins,” J. Geol. Dan Sumberd. Miner., vol. 22, no. 4, pp. 199–207, Dec. 2012, doi: 10.33332/jgsm.geologi.22.4.199-207.
S. D. Golding, C. J. Boreham, and J. S. Esterle. (2018). “Stable isotope geochemistry of coal bed and shale gas and related production waters: A review,” Int. J. Coal Geol., vol. 120, pp. 24–40, Dec. 2013, doi: 10.1016/j.coal.2013.09.001.[19]B. Das and R. Chatterjee, “Well log data analysis for lithology and fluid identification in Krishna-Godavari Basin, India,” Arab. J. Geosci., vol. 11, no. 10, p. 231, doi: 10.1007/s12517-018-3587-2.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Muh Abduh

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





