Analysis of Unconventional Oil and Gas Reservoirs using Well Logging, Geochemical and Seismic Data
Analisis Reservoar Migas Non-Konvensional Menggunakan Data Well Logging, Geokimia, dan Seismik
DOI:
https://doi.org/10.20956/geocelebes.v7i2.20603Keywords:
geochemistry, reservoir, seismic, unconventional oil and gas, well loggingAbstract
Since conventional oil and gas is under a depletion phase, unconventional oil, and gas have become prime candidates for current and future oil and gas production. Based on this, investment and research have increased significantly related to unconventional oil and gas exploitation, especially in the North East Java Basin, one of the sedimentary basins producing oil and gas. The research was conducted in the form of well-logging, geochemical, and seismic data analysis to determine the quality and quantity of oil and gas reservoirs. The thickness and TOC value of the reservoir were determined using well-logging data using the Passey method, resulting in a thickness ranging from 900-954 ft and an average TOC value of 3.87 Wt% in the Kujung III Formation. Based on geochemical data analysis, the reservoir has type II kerogen with an immature-early mature maturity level (Ro and Tmax). Meanwhile, based on seismic data, the reservoir thickens to the northwest, ranging from 500-600 m. Unconventional oil and gas reservoirs in the research area have the potential to be developed because they meet several criteria, such as being rich in organic material and thick, even though the maturity level is still in the immature phase. It is estimated that deeper areas will produce different levels of maturity as pressure and temperature increase.Downloads
References
Aprilana, C., Premonowati, P., Hanif, I. S., Choirotunnisa, C., Shirly, A., Utama, M. K., Sinulingga, Y. R., & Syafitra, F. (2018). New Prespective Paleogeography of East Java Basin; Implicationrespond to Oil and Gas Eksploration at Kujung Formation Carbonate Reservoar. IOP Conference Series: Earth and Environmental Science, 132(012006). https://doi.org/10.1088/1755-1315/132/1/012006
Athmer, W., Borgos, H. G., Dahl, G. V., Tetzlaff, D. M., Handwerger, D., & Sonneland, L. (2014). Integrating Seismic Interpretation, Classification and Geologic Process Modeling for Shale Reservoir. Proceedings of the 9th Hydrocarbon Exploration and Development Congress and Exhibition. Mendoza, pp. 461–477.
Barber, E. J., Crow, M. J., & Milsom, J. S. (2005). Sumatra: Geology, Resources, and Tectonic Evolution. (Vol. 4, Issue 3). The Geological Society.
Brooks, J., Welte, D., & Jovanovich, H.B. (1984). Petroleum Geochemistry.
Crain, E. R. (2000). Petrophysical Handbook. https://spec2000.net/11-vshtoc.htm.
del Monte, A. A., Antonielli, E., de Tomasi, V., Luchetti, G., Paparozzi, E., & Gambacorta, G. (2018). Methods for source rock identification on seismic data: An example from the Tanezzuft Formation (Tunisia). Marine and Petroleum Geology, 91, 108–124. https://doi.org/10.1016/j.marpetgeo.2017.12.015
Devi, A., Boruah, S., & Gilfellon, G. B. (2017). Geochemical Characterization of Source Rock from the North Bank Area, Upper Assam Basin. Journal Geological Society of India, 89, 429–434. https://doi.org/10.1007/s12594-017-0625-8
El-Khadragy, A. A., Shazly, T. F., Mousa, D. A., Ramadan, M., & El-Sawy, M. Z. (2018). Integration of well log analysis data with geochemical data to evaluate possible source rock. Case study from GM-ALEF-1 well, Ras Ghara oil Field, Gulf of Suez-Egypt. Egyptian Journal of Petroleum, 27(4), 911–918. https://doi.org/10.1016/j.ejpe.2018.01.005
Fajana, A. O., Ayuk, M. A., Enikanselu, P. A., & Oyebamiji, A. R. (2019). Seismic interpretation and petrophysical analysis for hydrocarbon resource evaluation of ‘Pennay’ field, Niger Delta. Journal of Petroleum Exploration and Production Technology, 9, 1025–1040. https://doi.org/10.1007/s13202-018-0579-4
Fatahillah, Y., Utama, W., Suprayogi, K., Hilyah, A., & Maulana, I. (2017). Source rock formation evaluation using TOC & Ro log model based on well-log data procesing : study case of Ngimbang formation, North East Java basin. MATEC Web of Conferences, 101, 04016. https://doi.org/10.1051/matecconf/201710104016
Field, W., Raef, A. E., Mattern, F., Philip, C., & Totten, M. W. (2015). 3D seismic attributes and well-log facies analysis for prospect identification and evaluation: interpreted palaeoshoreline implications, Weirman Field, Kansas, USA. Journal of Petroleum Science and Engineering, 133, 40–51. https://doi.org/10.1016/j.petrol.2015.04.028
Harilal, & Tandon, A. K. (2012). Unconventional Shale-gas plays and their characterization through 3-D seismic attributes and logs. 9 Biennial International Conference & Exposition on Petroleum Geophysics. p. 8. https://spgindia.org/spg_2012/spgp083.pdf
Habib, M., Charles, S. P., Guangqing, Y., Danlami, M. S., Congjiao, X., Jakada, H., Abba, H. A., & Omeiza I. A. (2016). An inversion of reservoir properties based on a concurrent modeling approach : the case of a West African reservoir. Journal of Petroleum Exploration and Production Technology, 6(4), 617–628. https://doi.org/10.1007/s13202-016-0236-8
Helal, A., Farag, K., & Shihata, M. (2015). Unconventional seismic interpretation workflow to enhance seismic attributes results and extract geobodies at Gulf of Mexico case study. Egyptian Journal of Geology, 59, 1–14.
Mudjiono, R., & Pireno, G. E. (2002). Exploration of the North Madura Platform, Offshore East Java, Indonesia. Proceedings, Indonesian Petroleum Association. Jakarta, pp. 707–726. https://doi.org/10.29118/ipa.980.707
Muther, T., Qureshi, H. A., Syed, F. I., Aziz, H., Siyal, A., Dahaghi, A. K., & Negahban, S. (2021). Unconventional hydrocarbon resources: geological statistics, petrophysical characterization, and field development strategies. Journal of Petroleum Exploration and Production Technology, 12, 1463–1488. https://doi.org/10.1007/s13202-021-01404-x
Niu, H., Han, X., Wei, J., Zhang, H., & Wang, B. (2018). Geochemical characteristics of Lower Jurassic source rocks in the Zhongkouzi Basin Geochemical characteristics of Lower Jurassic source rocks in the Zhongkouzi Basin. IOP Conf. Series: Earth and Environmental Science, 108(032050). https://doi.org/10.1088/1755-1315/108/3/032050
Olatunde, P. S. (2016). Geochemical Techniques for the Analysis of Geochemical Data and its Application in the Nigerian Oil and Gas Industries. Chemical Sciences Journal, 7(3), 1000137. https://doi.org/10.4172/2150-3494.1000137
Passey, Q. R., Bohacs, K. M., Esch, W. L., Klimentidis, R., & Sinha, S. (2010). From Oil-Prone Source Rock to Gas-Producing Shale Reservoir – Geologic and Petrophysical Characterization of Unconventional Shale-Gas Reservoirs. International Oil and Gas Conference and Exhibition in China, Beijing, China. https://doi.org/10.2118/131350-MS
Passey, Q. R., Creaney, S., Kulla, J. B., Moretti, F. J., & Stroud, J. D. (1990). A Practical Model for Organic Richness from Porosity and Resistivity Logs. The American Association of Petroleum Geologist Bulletin, 74(12), 1777–1794. https://doi.org/10.1306/0C9B25C9-1710-11D7-8645000102C1865D
Peters, K. E., & Cassa, M. R. (1994). Chapter 5 - Applied Source Rock Geochemistry. In The petroleum system–from source to trap. AAPG Memoir 60 93–120.
Satyana, A. H., & Purwaningsih, M. E. M. (2003). Geochemistry of the East Java Basin: New Observations on Oil Grouping, Genetic Gas Types and Trends of Hydrocarbon Habitats. Proceedings, Indonesian Petroleum Association. Jakarta, p. 23. https://doi.org/10.29118/ipa.831.03.g.021
Scheeder, G., Weniger, P., & Blumenberg, M. (2020). Geochemical implications from direct Rock-Eval pyrolysis of petroleum. Organic Geochemistry 146, 104051. https://doi.org/10.1016/j.orggeochem.2020.104051
Setyawan, R., Subroto, E. A., Sapiie, B., Condronegoro, R., & Syam, B. (2020). Geochemical and Geomechanical Study on Gumai and Talangakar Formation to Determine Potential of Shale Gas in Jambi Sub-Basin, South Sumatra Basin. Journal of Geoscience, Engineering, Environment, and Technology 5, 94–102. https://doi.org/10.25299/jgeet.2020.5.2.4191
Song, D., He, D., & Wang, S. (2013). Source Rock Potential and Organic Geochemistry of Carboniferous Source Rocks. Journal of Earth Science, 24(3), 355–370. https://doi.org/10.1007/s12583-013-0339-9
Suharyati., Pambudi, S. H., Wibowo, J. L., & Pratiwi, N. I. (2019). Indonesia Energy Out Look 2019, DEWAN ENERGI NASIONAL. Jakarta.
Sumotarto, T. A., Haris, A., Riyanto, A., & Usman, A. (2017). Shale characterization on Barito field, Southeast Kalimantan for shale hydrocarbon exploration. AIP Conference Proceedings, 1862(030195), 1–6. https://doi.org/10.1063/1.4991299
Szabó, N. P., Valadez‐vergara, R., Tapdigli, S., Ugochukwu, A., Szabó, I., & Dobróka, M. (2021). Factor analysis of well logs for total organic carbon estimation in unconventional reservoirs. Energies (Basel) 14, 1–17. https://doi.org/10.3390/en14185978
Wibowo, R. C. (2013). “Unconventional Reservoir” Shale Gas Potential Based On Source Rock Analysis In Sumatran Back Arc Basin. In Setiawan, N.I., Budianta, W., Idrus, A. (Eds.), Proceedings of International Conference on Geological Engineering Geological Engineering Department, Engineering Faculty, Gadjah Mada University. Geological Engineering Department, Engineering Faculty, Gadjah Mada University, Yogyakarta, pp. 151–163.
Wibowo, R. C., Ariska, S., & Dewanto, O. (2020). Inversi Geostatistik Menggunakan Analisa Multi-Atribut Stepwise Regression Untuk Karakterisasi Reservoir. RISET Geologi dan Pertambangan 30(2), 187 – 202.
Zhao, P., Ostadhassan, M., Shen, B., Liu, W., Abarghani, A., Liu, K., Luo, M., & Cai, J. (2019). Estimating thermal maturity of organic-rich shale from well logs: Case studies of two shale plays. Fuel, 235, 1195–1206. https://doi.org/10.1016/j.fuel.2018.08.037
Zou, G., Xu, Z., Peng, S., & Fan, F. (2018). Analysis of coal seam thickness and seismic wave amplitude : A wedge model. Journal of Applied Geophysics, 148, 245–255. https://doi.org/10.1016/j.jappgeo.2017.11.013
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