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Optimizing Multiphase Flow Characterization via Core-flooding and Automated History Matching Using SENDRA Simulation

Author(s)
Faisal Hussain Memon Department o Petroleum aas Engineering, Mehran nniversity o Engineering Technology, Shaheed Zul iqar Ali Bhutto Campus, Khairpur 66020, Pakistan
Muhammad Furqan Qureshi Institute of Petroleum & Natural Gas Engineering, Mehran University of Engineering & Technology, Jamshoro 76062, Pakistan
Tahir Hussain Soomro Ministry of energy, Petroleum division, Islamabad 44000, Pakistan
Ghulam Abbas Department of Petroleum & Gas Engineering, Mehran University of Engineering & Technology, Shaheed Zulfiqar Ali Bhutto Campus, Khairpur 66020, Pakistan
Shoaib Ahmed Memon Department of Petroleum & Gas Engineering, Mehran University of Engineering & Technology, Shaheed Zulfiqar Ali Bhutto Campus, Khairpur 66020, Pakistan
Abstract
Multiphase flow simulation within porous media is essential for predicting the reservoir performance and optimizing the oil recovery strategies. This paper aims to estimate the Relative Permeability (Kr) and Capillary Pressure (Pc) parameters by performing core flooding experiments using Sendra software. The laboratory experiments were carried out using a sandstone core under controlled conditions. A four-step protocol was developed to obtain the injection rates, production data and pressure responses, which were utilized for simulation and history matching. To analyze the experimental data and obtain Kr and Pc curves, the SENDRA-1D black oil simulator was used. The results were tested using a total of 25 correlation combinations to match the experimental results. The most convincing correlation was derived to be the Sigmund-McCaffery correlation and LETPrimary drainage correlation with least Residual Sum of Square (RSS) for oil production and pressure curves. The analysis identified a Critical Water Saturation (Swc) of 40% which indicates the two-phase flow. While, Residual Oil Saturation (Sor) was obtained at 28%, which signifies oil volume left for postwater flooding. The Pc curve declined quickly with increasing Swc and becomes zero above 45%, indicating a water-wet system. The results demonstrates that this automated simulation workflow using SENDRA software is much more effective and reliable in characterizing multiphase flows in both steady state and unsteady state processes. The proposed methodology saves experimental time and produces reliable data generation over a significant saturation range. Thus, making it a robust tool for reservoir analysis in multiphase flow systems.
Publication Details
Page(s) 120-137
DOI DOI not available
Published Journal: The Sciencetech, Volume: 7, Issue: 1, Year: 2026

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Keywords
Multiphase Flow, Capillary Pressure (Pc), History Matching, SENDRA Simulation, Relative Permeability (Kr), Core-Flooding
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