Calculation of pressure and velocity vector field in a porous medium
DOI:
https://doi.org/10.22399/ijcesen.4475Keywords:
reservoir engineering, Navier Stocks3 equation, Darcy’s law , Peng-Robinson equation, Single-phase flowAbstract
The most notable omission, among the topics addressed in reservoir engineering, is the absence of any serious discussion on the complexities of hydrocarbon phase behavior. For this reason, we have tried to address this subject with great precision and care, which can be summarized in the process of illustrating the main functions of a reservoir engineer, namely estimating the hydrocarbons in place, calculating a recovery factor, and attaching a timescale to the recovery. This article presents many fundamental concepts of reservoir engineering.In our porous medium, which is a real gas deposit, we assumed that the temperature is constant at 170 F° and that the pressure varies between 2600 (psia) and 2000 (psia) in order to determine the behavior of a gas reservoir and to better understand the phase transformations (single-phase to two-phase) for the ideal extraction of the latter. The molar mass of this gas is considered constant , the density is .Let us consider a simple simulation in which our tank contains the gas with these different elements and is subjected to a constant temperature and a continuously increasing pressure. At a specific pressure (the critical pressure), during this study, the gas, which was entirely in a liquid phase at high pressure, evaporates. For this reason, it was necessary to maintain the pressure in the tank at a value of 2600 (psia) to ensure significant gas extraction, as demonstrated in our study.The application of the Peng-Robinson equation is the most important for reservoir gas because it will give us very important results compared to the ideal gas equation and it is described in several works that deal with the same subject.
References
[1] Cossé, R. (1988). Techniques d'exploitation pétrolière: Le gisement (Vol. 1). Éditions Technip.
[2] Dalvi, S. (2015). Fundamentals of Oil & Gas Industry for Beginners. Notion Press.
[3] Hirsch, M. W., Devaney, R. L., & Smale, S. (1974). Differential equations, dynamical systems, and linear algebra (Vol. 60). Academic press.
[4] Kouadri, A., Benziane, A., Rabehi, A., Rabehi, A., Alhussan, A.A., Khafaga, D.S., El-Kenawy, E.S.M. (2025). A novel hybrid watermarking scheme for medical images using dual-tree complex wavelet and 2D discrete cosine transforms. Traitement du Signal, Vol. 42, No. 5, pp. 2693-2704. https://doi.org/10.18280/ts.420521
[5] Vidal, J. (1997). Thermodynamique: application au génie chimique et à l'industrie pétrolière. Editions Technip.
[6] Tibermacine, I. E., Russo, S., Scarano, G., Tedesco, G., Rabehi, A., Alhussan, A. A., ... & Napoli, C. (2025). Conditional VAE for personalized neurofeedback in cognitive training. PloS one, 20(10), e0335364.
[7] Guermoui, M., Ferkous, K., Rabehi, A., & Belaid, A. (2025). Integrating Hybrid AI Models for Improved PV Power Forecasting: A Path Toward Sustainable Energy. In Artificial Intelligence Applications for a Sustainable Environment (pp. 311-328). Cham: Springer Nature Switzerland.
[8] Teta, A., Elbar, M., Beladel, A., Bakria, D., Korich, B., Chennana, A., & Rabehi, A. (2025). Robust and fast fault diagnosis framework for grid-connected photovoltaic systems via adaptive channel-wise representations and transfer learning. Measurement, 119290.
[9] Mohamed, A., Nacera, Y., Ahcene, B., Teta, A., Belabbaci, E. O., Rabehi, A., ... & Benghanem, M. (2025). Optimized YOLO based model for photovoltaic defect detection in electroluminescence images. Scientific Reports, 15(1), 32955.
[10] Ferkous, K., Menakh, S., Guermoui, M., Bellaour, A., Bekkar, B., Rabehi, A., ... & Benghanem, M. (2025). Optimized solar power forecasting: A multi-decomposition framework using VMD and swarm techniques. AIP Advances, 15(9).
[11] Taibi, A., Ikhlef, N., Aomar, L., Touati, S., Baitiche, O., Alsabah, Y. A., ... & Benghanem, M. (2025). Diagnosis of misalignment faults using the DTCWT-RCMFDE and LSSVM algorithms. Scientific Reports, 15(1), 32128.
[12] Russo, S., Tibermacine, I. E., Randieri, C., Rabehi, A., H Alharbi, A., El-Kenawy, E. S. M., & Napoli, C. (2025). Exploiting facial emotion recognition system for ambient assisted living technologies triggered by interpreting the user's emotional state. Frontiers in Neuroscience, 19, 1622194.
[13] Mostefaoui, M., Kacha, A. H., Rabehi, A., Ameur, K., Mazari, H., & Bluet, J. M. (2025). Study of the effect of the gate’s length on the electrical quality of AlGaN/GaN heterostructures based HEMTs. JOURNAL OF OVONIC RESEARCH, 21(4), 495-504.
[14] Ali, M., Souahlia, A., Rabehi, A., Guermoui, M., Teta, A., Tibermacine, I. E., ... & Benghanem, M. (2025). A robust deep learning approach for photovoltaic power forecasting based on feature selection and variational mode decomposition. Journal of the Nigerian Society of Physical Sciences, 2795-2795.
[15] Ali, M., Rabehi, A., Souahlia, A., Guermoui, M., Teta, A., Tibermacine, I. E., ... & Agajie, T. F. (2025). Enhancing PV power forecasting through feature selection and artificial neural networks: a case study. Scientific Reports, 15(1), 22574.
[16] Atouani, T., Mostefaoui, M., Dennai, B., Rabehi, A., Alsabah, Y. A., & Benghanem, M. (2025). Tension loss analysis at the electrode interface of a dye-sensitized solar cell (DSSC). AIP Advances, 15(7).
[17] Elhannani, A., Brahami, R., Elmeiche, A., Bouamama, M., Rabehi, A., & Benghanem, M. (2025). Analytical Investigation of Free Vibrations in Functionally Graded Material Beams with Different Property Distributions. Nigerian Journal of Technological Development, 22(3), 363-371.
[18] Ghibeche, I., Nourani, A., Naas, T. T., Benziouche, S., Buchholz, M., Buchholz, R., ... & Benghanem, M. (2025). Modeling Climatic Parameters affecting a Greenhouse Irrigation System. Engineering, Technology & Applied Science Research, 15(3), 23352-23359.
[19] Rabehi, A., Meftah, E. H., Benmahmoud, S., Rabehi, A., Alharbi, A. H., & El-kenawy, E. S. M. (2025). SOCA-CFAR Processor in A Homogeneous Erlang-Distributed Clutter: Exact Closed-Form Expression for the Pfa. Traitement du Signal, 42(3).
[20] Ouahabi, M. S., Benyounes, A., Barkat, S., Ihammouchen, S., Rekioua, T., Rabehi, A., ... & Alharbi, A. H. (2025). Real-Time Sensor Fault Tolerant Control of DC-DC Converters in DC Microgrids Using a Switching Unknown Input Observer. IEEE Access.
[21] Tibermacine, I. E., Russo, S., Citeroni, F., Mancini, G., Rabehi, A., Alharbi, A. H., ... & Napoli, C. (2025). Adversarial denoising of EEG signals: a comparative analysis of standard GAN and WGAN-GP approaches. Frontiers in Human Neuroscience, 19, 1583342.
[22] Ladjal, B., Nadour, M., Bechouat, M., Hadroug, N., Sedraoui, M., Rabehi, A., ... & Agajie, T. F. (2025). Hybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, Algeria. Scientific Reports, 15(1), 15404.
[23] Azzazen, M., & Boukraa, S. (2023). Numerical and Experimental Investigation of a Confined Diffusion Flame of Heterogeneous Mixtures. Journal homepage: http://iieta. org/journals/ijht, 41(2), 415-422.
[24] Mehallel, E., Bouchemel, A., & Rebahi, A. (2025). A Fast Enhanced Medical Image Encryption scheme Based on 2D-Chaotic Map and Improved Zigzag confusion. ITEGAM-JETIA, 11(52), 205-219.
[25] Bendelala, F., Bellakhdar, A., Baitiche, O., Cheknane, A., Helal, M. H., Hilal, H. S., & Rabehi, A. (2025). FDTD Modelling of Nanostructured Hemispherical Plasmonic Light Trapping for Enhanced Ultra-thin GaSb TPV Cell. Semiconductors, 59(4), 404-411.
[26] Khelifi, R., Chekifi, T., Belaid, A., Guermoui, M., Rabehi, A., Khaled, F., ... & Agajie, T. F. (2025). Comparative performance analysis of hemispherical solar stills using date and olive kernels as heat storage material. Scientific Reports, 15(1), 7128
[27] Chennana, A., Megherbi, A. C., Bessous, N., Sbaa, S., Teta, A., Belabbaci, E. O., ... & Agajie, T. F. (2025). Vibration signal analysis for rolling bearings faults diagnosis based on deep-shallow features fusion. Scientific Reports, 15(1), 9270.
[28] Bentegri, H., Rabehi, M., Kherfane, S., Nahool, T. A., Rabehi, A., Guermoui, M., ... & El-Kenawy, E. S. M. (2025). Assessment of compressive strength of eco-concrete reinforced using machine learning tools. Scientific Reports, 15(1), 5017.
[29] Mehallou, A., M’hamdi, B., Amari, A., Teguar, M., Rabehi, A., Guermoui, M., ... & Khafaga, D. S. (2025). Optimal multiobjective design of an autonomous hybrid renewable energy system in the Adrar Region, Algeria. Scientific Reports, 15(1), 4173.
[30] Boukredine, S., Mehallel, E., Boualleg, A., Baitiche, O., Rabehi, A., Guermoui, M., ... & Tibermacine, I. E. (2025). Enhanced Performance of Microstrip Antenna Arrays through Concave Modifications and Cut-Corner Techniques. ITEGAM-JETIA, 11(51), 65-71.
[31] Belaid, A., Guermoui, M., Riche, A., Arrif, T., Maamar, Rabehi, A., C. M., ... & Al Rahhal, M. M. (2024). High-Resolution Mapping of Concentrated Solar Power Site Suitability in Ghardaïa, Algeria: A GIS-Based Fuzzy Logic and Multi-Criteria Decision Analysis. IEEE Access.
[32] Younsi, A. M., Elbar, M., & Rabehi, A. (2024). Structural, Electronic, and Optical Properties of Perovskites CaATe3 (A= Zr Or Hf): A Theoretical Investigation. Semiconductors, 58(12), 984-992.
[33] Daha, R., Bouloudenine, M., Khiat, A., Gomez, C. V., La Pietra, M., Rabehi, A. E., ... & Bellucci, S. (2024). Enhancement of Cobalt Ferrite Properties through Rare Earth Ion Doping. Semiconductors, 58(12), 993-1005.
[34] Belaid, A., Guermoui, M., Khelifi, R., Arrif, T., Chekifi, T., Rabehi, A., ... & Alhussan, A. A. (2024). Assessing Suitable Areas for PV Power Installation in Remote Agricultural Regions. Energies, 17(22), 5792.
[35] Marzouglal, M., Souahlia, A., Bessissa, L., Mahi, D., Rabehi, A., Alharthi, Y. Z., ... & Ghoneim, S. S. (2024). Prediction of power conversion efficiency parameter of inverted organic solar cells using artificial intelligence techniques. Scientific Reports, 14(1), 25931.
[36] Ziane, A., Rabehi, A., Rouabhia, A., Amrani, M., Douara, A., Dabou, R., ... & Sahouane, N. (2024). Numerical Investigation of G–V Measurements of metal–A Nitride GaAs junction. Revista Mexicana de Física, 70(6 Nov-Dec), 061604-1.
[37] Mekaret, F., Rabehi, A., Zebentout, B., Tizi, S., Douara, A., Bellucci, S., ... & Alhussan, A. A. (2024). A comparative study of Schottky barrier heights and charge transport mechanisms in 3C, 4H, and 6H silicon carbide polytypes. AIP Advances, 14(11).
[38] Douara, A., Rabehi, A., Guermoui, M., Daha, R., & Tibermacine, I. E. (2024). Simulation-based optimization of barrier and spacer layers in InAlN/GaN HEMTs for improved 2DEG density. Micro and Nanostructures, 195, 207950.
[39] Rabehi, A., Douara, A., Mohamed, E., Zenzen, R., & Amrani, M. (2024). Impact of Grain Boundaries on The Electrical Characteristics and Breakdown Behavior of Polycrystalline Silicon Pin Diodes: A Simulation Study. ITEGAM-JETIA, 10(49), 59-64.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 International Journal of Computational and Experimental Science and Engineering

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