VOLUMETRIC CALCULATION IN TIGHT SAND RESERVOIR BASED ON INTEGRATION INVERSION PRE-STACK AND STATIC MODELING
DOI:
https://doi.org/10.23960/jge.v12i1.507Keywords:
Static modeling, Tight sandstone reservoirs, Volumetric calculationAbstract
This study investigates the volumetric calculation of hydrocarbon reserves in tight sandstone reservoirs by integrating pre-stack seismic inversion and static modeling. The research focuses on the Penobscot Field in the Scotian Basin, Nova Scotia, Canada, specifically the Middle Mississauga Formation, which contains tight sandstone. The study aims to estimate hydrocarbon reserves in tight sandstone, which has distinct characteristics compared to typical sandstone. The static modeling approach integrates seismic and well data to construct a structural model, allowing the spatial estimation of volume shale (), effective porosity (), water saturation (), and net to gross (NTG). Pre-stack seismic inversion is applied to generate detailed subsurface models, utilizing seismic data before the stacking process for more comprehensive information. By using data from various angles of incidence, this method improves resolution and enhances the ability to detect complex subsurface layers, producing a model with physical rock parameters like density and P-wave velocity. The study uses pre-stack seismic inversion to obtain an acoustic impedance profile, which is then applied in facies and petrophysical property simulation using geostatistical methods SGS and SIS to align simulation trends with inversion results. This integration is expected to produce a reliable model for hydrocarbon reserve volume calculation. Results indicate that the tight sandstone zones contain hydrocarbon reserves, primarily gas, due to the low porosity of the sandstone and the lower viscosity of gas compared to oil, enabling gas to move more easily into narrow pores. The simulated effective porosity, ranges from 0.01 to 0.18, volume shale from 0.01 to 1, water saturation from 0.64 to 1, and net to gross (NTG) values from 0.7 to 1.00, resulting in a GIIP volume of 4494 sm³. These findings demonstrate that integrating these methods effectively calculates hydrocarbon reserves in tight sandstone.
References
Al-Ashqar, N. A., El-Werr, A. K., Helaly, A. S., & Kamel, A. (2025). AVO Reflectivity and Pre-Stack Seismic Impedance Inversion For Gas Sand Channel Detection at South Abu El Naga Field, Onshore Nile Delta, Egypt. Scientific Reports, 15(1). https://doi.org/10.1038/ s41598-025-04251-6
Bate, B. B., Boboye, O. A., Fozao, K. F., Ndip, E. A., & Anene, N. O. (2023). Petrophysical Characterization and 3D Seismic Interpretation of Reservoirs in The Baris Field, Onshore Niger Delta Basin, Nigeria. Energy Geoscience, 4(1), 103–116. https://doi.org/10.1016/j.engeos.2022.02.001
Campbell, T. J., Richards, F. W. B., Silva, R. L., Wach, G., & Eliuk, L. (2015). Interpretation of the Penobscot 3D Seismic Volume Using Constrained Sparse Spike Inversion, Sable Sub-Basin, offshore Nova Scotia. Marine and Petroleum Geology, 68, 73–93. https://doi.org/10.1016/j.marpetgeo.2015.08.009
Canada–Nova Scotia Offshore Petroleum Board (CNSOPB) (2007). Geology and Reserve Estimates of Parcel 1. https://callforbids.cnsopb.ns.ca/2007/01/geology_parcel1_geology.html
Decalf, C. C. & Heyn, T. (2023). Salt Geometry in The Central Basin of The Nova Scotia Passive Margin, Offshore Canada Based On New Seismic Data. Marine and Petroleum Geology, 149, 106065. https://doi.org/10.1016/ j.marpetgeo.2022.106065
Eleslambouly, A., Khalifa, T., Aldhanhani, O., Zeynalli, M., & Abdelmaksoud, A. (2025). Integrated Field Characterization and Static Hydrocarbon Reserve Estimation of The Penobscot Field, Nova Scotia, Canada. Energy Geoscience, 6(4). https://doi.org/10.1016/ j.engeos.2025.100448
Handoyo, Ronlei, B. C., Wibowo, A. S., Sigalingging, A. S., Nathania, E. Y., Fatkhan, F., Erdi, A., Avseth, P., Carbonell, R., Nugroho, P., Bayu Pandito, R. H., Nasibov, A., & Ali Husein, A. A. (2025). Reservoir Characterization of Ngrayong Formation, Sandstone with Carbonate Intercalation, Using a Geostatistical Approach Based on Petrophysical Parameters, Northeast Java Basin, Indonesia. Scientific Contributions Oil and Gas, 48(3), 237–251. https://doi.org/10.29017/scog.v48i3.1828
He, Y., Zhang, H., Wu, Z., Zhang, H., Zhang, X., Zhuo, X., Song, X., Dai, S., & Dang, W. (2025). Porosity Prediction of Tight Reservoir Rock Using Well Logging Data and Machine Learning. Scientific Reports, 15(1), 13124. https://doi.org/10.1038/s41598-025-95578-7
Hosseinzadeh, S., Saberi, M. R., Haghighi, M., Salmachi, A., & Salimzadeh, S. (2025). Seismic Inversion Approaches For Reservoir Characterization: A Comprehensive Review. In Journal of Applied Geophysics (Vol. 243). Elsevier B.V. https://doi.org/10.1016/ j.jappgeo.2025.105953
Jiang, L., Zhao, W., Bo, D. M., Hong, F., Gong, Y. J., & Hao, J. Q. (2023). Tight Sandstone Gas Accumulation Mechanisms and Sweet Spot Prediction, Triassic Xujiahe Formation, Sichuan Basin, China. Petroleum Science, 20(6), 3301–3310. https://doi.org/10.1016/ j.petsci.2023.07.008
Juventa, J. & Fatkhan, F. (2021). Karakterisasi Reservoir Untuk Menentukan Persebaran Batupasir Pembawa Hidrokarbon Menggunakan Inversi Simultan. JGE (Jurnal Geofisika Eksplorasi), 7(1), 5–16. https://doi.org/10.23960/jge.v7i1.94
Kurah, B. K., Shariatipour, M. S., & Itiowe, K. (2021). Reservoir Characterization and Volumetric Estimation of Reservoir Fluids Using Simulation and Analytical Methods: A Case Study of The Coastal Swamp Depobelt, Niger Delta Basin, Nigeria. Journal of Petroleum Exploration and Production Technology, 11(6), 2347–2365. https://doi.org/10.1007/s13202-021-01206-1
Li, K., Yin, X.Y., Zong, Z.Y., & Lin, H.K. (2020). Seismic AVO Statistical Inversion Incorporating Poroelasticity. Petroleum Science, 17(5), 1237–1258. https://doi.org/10.1007/s12182-020-00483-5
Lian, S., Bi, J., Zhao, Y., Wang, C., Du, C., & Zheng, K. (2024). Study on The Pore Structure and Permeability Evolution of Tight Sandstone Under Liquid Nitrogen Freezing‐Thawing Cycles Based on NMR Technology. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 10(1), 170. https://doi.org/10.1007/s40948-024-00885-4
Muldi, D. (2025). Uncertainty Quantification of 3D Stochastic Fault Modeling in Structurally Complex Reservoirs. Middle East Oil, Gas and Geosciences Show (MEOS GEO). https://doi.org/10.2118/227289-MS
Olutoki, J. O., Elsaadany, M., Siddiqui, N. A., Haque, A. E., Ali, S. H., Rashid, A., & Akinyemi, O. D. (2024). Estimating Petrophysical Properties Using Geostatistical Inversion and Data-Driven Extreme Gradient Boosting: A Case Study of Late Eocene Mckee Formation, Taranaki Basin, New Zealand. Results in Engineering, 24, 103494. https://doi.org/10.1016/j.rineng.2024.103494
Ramdhani, E., Dewanto, O., Karyanto, K., & Yulianto, N. (2020). Perhitungan Cadangan Hidrokarbon Formasi Talang Akar Menggunakan Analisis Petrofisika dan Seismik Inversi AI Dengan Pendekatan Map Algebra Pada Lapangan Bisma, Cekungan Sumatera Selatan. JGE (Jurnal Geofisika Eksplorasi), 4(3), 229–242. https://doi.org/10.23960/jge.v4i3.37
Royden, L. & Keen, C. E. (1980). Rifting Process and Thermal Evolution of The Continental Margin of Eastern Canada Determined From Subsidence Curves. Earth and Planetary Science Letters, 51(2), 343–361. https://doi.org/10.1016/0012821X(80)90216-2
Sephiana, S. E., Karyanto, K., & Sinambela, R. Z. (2023). Analisis Petrofisika Dalam Mengidentifikasi Zona Potensi Hidrokarbon Pada Formasi Tualang dan Lakat. JGE (Jurnal Geofisika Eksplorasi), 9(3), 165–183. https://doi.org/10.23960/jge.v9i3.273
Stricker, S., Jones, S. J., Meadows, N., & Bowen, L. (2018). Reservoir Quality of Fluvial Sandstone Reservoirs in Salt-Walled Mini-Basins: An Example From The Seagull Field, Central Graben, North Sea, UK. Petroleum Science, 15(1), 1–27. https://doi.org/ 10.1007/s12182-017-0206-x
Wu, G., Kong, F., Tian, N., Ma, T., & Tao, C. (2023). Structural Characteristics and Deep-Water Hydrocarbon Accumulation Model of The Scotian Basin, Eastern Canada. Energy Geoscience, 4(3), 100152. https://doi.org/ 10.1016/j.engeos.2022.100152
Yang, Y., Bie, A., Li, Y., Bie, H., Liu, X., & Zhu, X. (2023). Sensitivity and Uncertainty Analysis of Volumetric Estimation in a CBM Reservoir, Bowen Basin (pp. 6863–6873). https://doi.org/10.1007/978-981-99-1964-2_584
Zhang, N., Li, S., Chang, L., Wang, C., Li, J., & Liang, B. (2022). Study on Facies Modeling of Tight Sandstone Reservoir Using Multi-Point Geostatistics Method Based on 2D Training Image—Case Study of Longdong Area, Ordos Basin, China. Minerals, 12(10), 1335. https://doi.org/10.3390/min12101335
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