Characterization of fluid properties and pseudo-fraction analysis for oils with low gas oil ratios
DOI:
https://doi.org/10.31699/IJCPE.2026.1.9Keywords:
Sadi Reservoir; PVT modeling; Equation of state; Splitting and Lumping; RegressionAbstract
The Sadi reservoir is one of the largest and most important unconventional tight oil reservoirs in southern Iraq. However, it suffers from low production rates, necessitating many development strategies that require a correct and reliable characterization of reservoir fluid properties. Whilst these properties are originally obtained from laboratory experiments, measurement errors often occur despite rigorous workflows, which negatively affect the calculation of reservoir fluid properties. This study utilizes the fluid thermodynamics characterization program (PVTp) to generate a reliable model for determining the oil properties of Sadi reservoir. A methodology was developed to simulate fluid thermodynamic tests, including Differential Liberation (DL) and Constant Composition Expansion (CCE) tests. This was achieved through adjusting the Peng-Robinson Equation of State (PR-EOS) by splitting and lumping the C7+ plus fractions and calibrating the Ω parameters to match model results with experimental data using regression. Using the absolute average error (AAE) as a model performance benchmark, the model achieved an AAE of 1% for estimating the relative volume, 0% for estimating oil density, 0.41% for estimating oil formation volume factor, 4% for oil viscosity, and 5% for the gas oil ratio. These values represent the highest AAE recorded for this dataset and show good agreements within the acceptable limits. The PR-EOS model proves to be an accurate fluid characterization alternative that can be applied to similar field data, providing a valuable tool for reservoir management, improving performance, and reducing costs in the future.
Received on 18/06/2025
Received in Revised Form on 11/08/2025
Accepted on 12/08/2025
Published on 30/03/2026
References
[1] M. A. Ahmed, G. H. Abdul-Majeed, and A. K. Alhuraishawy, "Asphaltene precipitation investigation using a screening technique for crude oil sample from the Nahr-Umr formation/Halfaya oil field," Iraqi Journal of Chemical and Petroleum Engineering, vol. 24, no. 1, pp. 41–5, 2023, https://doi.org/10.31699/IJCPE.2023.1.6
[2] S. O. Baarimah and A. O. Baarimah, "PVT Properties for Yemeni Reservoirs Using an Intelligent Approach," 2021 Third International Sustainability and Resilience Conference: Climate Change, 2021, https://doi.org/10.1109/IEEECONF53624.2021.9668185
[3] N. S. Ahmedzeki, I. M. Ridha, Y. M. Ali, and Z. T. AbidAlwahab, "Development of PVT correlation for Iraqi crude oils using artificial neural network," Iraqi Journal of Chemical and Petroleum Engineering, vol. 13, no. 3, pp. 9–16, 2012, https://doi.org/10.31699/IJCPE.2012.3.2
[4] B. Younus, C. H. Whitson, A. Alavian, M. L. Carlsen, S. Martinsen, and K. Singh, "Field-Wide Equation of State Model Development," Paper presented at the SPE/AAPG/SEG Unconventional Resources TechnologConference, 2019, https://doi.org/10.15530/urtec-2019-551
[5] L. S. Al-Jaff , S. M. Hamd-Allah, "PVT Modeling of Qaiyarah Oil Field," Journal of Engineering, vol. 30, no. 10, pp. 122–133, 2024, https://doi.org/10.31026/j.eng.2024.10.07
[6] E. Kerr, K. K. Venepalli, K. Patel, R. Ambrose , and E. James, "Use of Reservoir Simulation to Forecast Field EOR Response - An Eagle Ford Gas Injection Huff-N-Puff Application," Paper presented at the SPE Hydraulic Fracturing Technology Conference and Exhibition, 2020, https://doi.org/10.2118/199722-MS
[7] N. Nabipour and A. Baghban, "Rigorous model for determination of PVT properties of crude oil in operational conditions," Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, vol. 45, pp. 8879–8885, 2023, https://doi.org/10.1080/15567036.2019.1677823
[8] K. Ghorayeb, K. Mogensen, N. E. Droubi, C. K. Kloucha, and H. Mustapha, "Holistic prediction of hydrocarbon fuids pressure–volume- temperature laboratory data using machine learning," Fuel, vol. 369, 2024, https://doi.org/10.1016/j.fuel.2024.131695
[9] K. Singh, C. H. Whitson, and M. H. Nielsen, "Comparing Black-Oil PVT Tables with Laboratory PVT Data," Paper presented at the SPE Advances in Integrated Reservoir Modelling and Field Development Conference and Exhibition, 2025, https://doi.org/10.2118/225382-MS
[10] L. I. Hadi and S. M. Hamd-Allah, ”Estimation of Minimum Miscibility Pressure for Hydrocarbon Gas Injection Based on EOS,” Association of Arab Universities Journal of Engineering Sciences, vol. 27, no. 3, pp. 09-14, 2020, https://doi.org/10.33261/jaaru.2020.27.3.002
[11] N. J. Al-Ameri, S. M. Hamd-Allah, and H. Abass, "Evaluation of Geomechanical Properties for Tight Reservoir Using Uniaxial Compressive Test, Ultrasonic Test, and Well Logs Data," Petroleum and Coal, vol. 62, n. 2, pp. 329–340, 2020.
[12] N. J. Al-Ameri, S. Hamd-allah , H. Abass, "Specifying quality of a tight oil reservoir through 3-D reservoir Modeling," Iraqi Journal of Science, vol. 61, n. 12, pp. 3252–3265, 2020, https://doi.org/10.24996/ijs.2020.61.12.14
[13] T. W. Xue and Z. Y. Guo, "A universal equation-of-state model based on single variable functions," Scientific Reports, vol. 15, 2025, https://doi.org/10.1038/s41598-025-93314-9
[14] Y. Peng, and X. Long," Study on anisotropic effect correction term of Virial–Peng–Long equation of state," AIP Advances, 2022, https://doi.org/10.1063/5.0107763
[15] M. Ghasemi and C. H. Whitson, "PVT modeling of complex heavy oil mixtures," Journal of Petroleum Science and Engineering, vol. 205, 2021, https://doi.org/10.1016/j.petrol.2021.108510
[16] Y. Liu, Y. Yuan, F. Zhou, Z. Qi, W. Zhang, H. Zhang, and Q. Wang, " Analysis on PVT test and empirical formula of Bohai heavy oil with different types of dissolved gases," Journal of Petroleum Exploration and Production Technology, vol. 10, pp. 3609–3617, 2020, https://doi.org/10.1007/s13202-020-00973-7
[17] M. A. Samba, Y. Li, W. A. Alkhyyali, Y. A. Altaher, and F. Hidayat, "Evaluates a PVT correlation to estimate dead oil viscosity for Libyan crudes using 104 samples from different reservoirs," Journal of Engineering Research, vol. 11, no. 1, 2023. https://doi.org/10.36909/jer.12229
[18] R. Hosein, R. A. Dawe, “A Parametric Methodology in Tuning the Peng-Robinson (PR) Equation of State for Gas Condensate Systems,” Journal of Petroleum Science and Technology, vol. 32, no. 6, 2014. https://doi.org/10.1080/10916466.2011.603011
[19] M. H. Nielsen and B. Younus, "End-To-End Fluid Model Development for the Volve Field," Paper presented at the SPE Europe Energy Conference and Exhibition, 2025, https://doi.org/10.2118/225470-MS
[20] I. N. Sulaiman, M. J. Zeinalabideen, and A. A. Abed, "An improved correlation to investigate the effect of chemical additives on the mobility ratio of two-phase flow," Periodicals of Engineering and Natural Sciences, 2021, https://doi.org/10.21533/pen.v9.i1.726
[21] F. Faraji, J. O. Ugwu, and P. L. Chong, "Development of a new gas condensate viscosity model using artificial Intelligence," Journal King Saud University Engineering Sciences, vol. 34, pp. 376-383, 2021, https://doi.org/10.1016/j.jksues.2021.11.005
[22] Y. Tahmasbi, M. Moghaddam, M. Kheshti, "Prediction of the Viscosity of Saturated Liquid and Unsaturated Gaseous Chlorofluorocarbons as Well as Hydrocarbon Mixtures Using the Peng–Robinson Equation of State," Petroleum Chemistry, vol. 65, 2025, https://doi.org/10.1134/S0965544124070132
[23] M. J. Malzi, A. Ettahir, C. Boned, K. Kettani, and A. Bybi,"Critical Study of a Residual Viscosity Correlation of JOSSI: Mixture Hydrocarbons Case," International Review of Mechanical Engineering, 2020, https://doi.org/10.15866/ireme.v14i5.18121
[24] R. D. Christanti, D. Rosiani, and E. Untoro, " Analisis Constant Composition Expansion (CCE) Dry Gas Menggunakan PVT Long Window Cell Pada Sumur X," Journal Eksplorasi dan Produksi Migas, vol.1, no. 2, pp. 55–64, 2023.
[25] A. F. Sholahudin, D. Rosiani, P. Rahalintar, and E. Untoro, "Analisis Cce Sampel Minyak Sumur X Menggunakan Metode PVT Short Window Cell," Prosiding Seminar Nasional Teknologi Energi dan Mineral, vol. 2 no. 1, pp.137–142, 2022.
[26] M. Motie, P. Moein, R. Moghadasi, and A. Hadipour, "Separator Pressure Optimisation and Cost Evaluation of a Multistage Production Unit Using Genetic Algorithm," Paper presented at the International Petroleum Technology Conference, 2019. https://doi.org/10.2523/IPTC-19396-MS
[27] M. Q. Abed Talib, M. S. Al-Jawad, "Development of a dynamic compositional reservoir model for enhanced oil recovery in Nahr Umr formation of Abu-Amood oil field," Iraqi Journal of Chemical and Petroleum Engineering, 2025, https://doi.org/10.31699/IJCPE.2025.1.6
Downloads
Published
Issue
Section
License
Copyright (c) 2026 The Author(s). Published by College of Engineering, University of Baghdad.

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







