Search Results - "Gharbi, Ridha"

Highly Selective and Sensitive Aggregation‐Induced Emission of Fluorescein‐Coated Metal Oxide Nanoparticles by Shetty, Suchetha, Baig, Noorullah, Safa, Muhieddine, Gharbi, Ridha, Sriram, Santhanagopalan, Rasoul, Firas, Alameddine, Bassam

“…We report the synthesis, characterization, and photophysical properties of novel metal oxide nanoparticles (NPs) coated with specially designed fluorescein…”
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The Potential of a Surfactant/Polymer Flood in a Middle Eastern Reservoir by Gharbi, Ridha, Alajmi, Abdullah, Algharaib, Meshal

“…An integrated full-field reservoir simulation study has been performed to determine the reservoir management and production strategies in a mature sandstone…”
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Accurate Estimation of the World Crude Oil PVT Properties Using Graphical Alternating Conditional Expectation by Malallah, Adel, Gharbi, Ridha, Algharaib, Meshal

“…The accurate determination of the pressure, volume, and temperature (PVT) properties such as bubble-point pressure and oil formation volume factor is important…”
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Dimensionally scaled miscible displacements in heterogeneous permeable media by GHARBI, Ridha B. C

“…Understanding and predicting the performance of solvent drives and remediation of contaminated aquifers in heterogeneous reservoirs is of great importance to…”
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Estimating the Isothermal Compressibility Coefficient of Undersaturated Middle East Crudes Using Neural Networks by Gharbi, Ridha

“…The isothermal compressibility coefficients are required in several reservoir engineering applications such as transient fluid flow problems and also in the…”
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Universal Neural-Network-Based Model for Estimating the PVT Properties of Crude Oil Systems by Gharbi, Ridha B, Elsharkawy, Adel M, Karkoub, Mansour

“…This study presents a universal neural-network-based model for the prediction of PVT properties of crude oil samples obtained from all over the world. The…”
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ECONOMIC OPTIMIZATION OF EOR PROCESSES USING KNOWLEDGE-BASED SYSTEM: CASE STUDIES by Gharbi, Ridha B. C.

“…The main challenge of Enhanced Oil Recovery (EOR) processes at the prevailing low oil prices is to reduce the cost. An optimization methodology, combined with…”
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OPTIMIZING OIL RECOVERY IN A CARBONATE RESERVOIR THROUGH INTEGRATED RESERVOIR SIMULATION STUDIES by Gharbi, Ridha B. C.

“…A three-dimensional finite-difference reservoir simulator, integrated in an EOR expert system, has been used to determine the reservoir management and…”
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Using Karhunen–Loéve decomposition and artificial neural network to model miscible fluid displacement in porous media by Smaoui, Nejib, Gharbi, Ridha B.

“…In this paper, we describe an approach to model fluid displacements in porous media that combines two powerful techniques, namely Karhunen–Loéve (KL)…”
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Accurate Modeling of Asphaltene Onset Pressure in Crude Oils Under Gas Injection Using Peng–Robinson Equation of State by Abutaqiya, Mohammed I. L, Sisco, Caleb J, Khemka, Yash, Safa, Muhieddine A, Ghloum, Ebtisam F, Rashed, Abeer M, Gharbi, Ridha, Santhanagopalan, Sriram, Al-Qahtani, Misfera, Al-Kandari, Eman, Vargas, Francisco M

“…Asphaltene precipitation is considered a precursor of the plugging of oil wells and subsurface equipment and is a topic of continuous interest among companies…”
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Novel Nanoparticle-Based Formulation to Mitigate Asphaltene Deposition by Enayat, Shayan, Safa, Muhieddine A, Tavakkoli, Mohammad, Valdes, Humberto, Rashed, Abeer M, Ghloum, Ebtisam F, Gharbi, Ridha, Santhanagopalan, Sriram, Vargas, Francisco M

“…Asphaltene precipitation and subsequent deposition are challenging problems that hinder continuous crude oil production worldwide. Although this is a…”
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TRACER RESPONSE IN PARTIALLY FRACTURED RESERVOIRS by Qasem, Fuad, Gharbi, Ridha B. C., Mir, Muhammed I.

“…There is considerable interest in the petroleum industry to characterize partially fractured reservoirs and to develop an increased understanding of the…”
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Use of neural networks for the prediction of frictional drag and transmission of axial load in horizontal wellbores by Sadiq, Tanvir, B. Gharbi, Ridha, C. Juvkam-Wold, Hans

“…The use of mud motors and other tools to accomplish forward motion of the bit in extended reach and horizontal wells allows avoiding large amounts of torque…”
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Investigating the performance of hot water injection in geostatistically generated permeable media by Alajmi, Abdullah F., Gharbi, Ridha, Algharaib, Meshal

“…The study investigates the performance of hot water flooding compared to conventional water flooding in recovering heavy oil from heterogeneous reservoirs…”
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An artificial neural network for the prediction of immiscible flood performance by Gharbi, Ridha, Karkoub, Mansour, ElKamel, Ali

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Characterizing Miscible Displacements in Heterogeneous Reservoirs Using the Karhunen-Loéve Decomposition by Gharbi, Ridha B., Qasem, Fuad, Smaoui, Nejib

“…The article describes the application of the Karhunen-Loéve (K-L) decomposition in characterizing miscible displacements in geostatistically generated…”
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The effect of heterogeneity and well configuration on the performance of hot water flood by Alajmi, Abdullah F., Gharbi, Ridha, Algharaib, Meshal

“…This study investigated the performance of hot water injection in several stochastically-generated permeable media using different well configurations and…”
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An Empirical Investigation of Polymer Flow in Porous Media by Garrouch, Ali A, Gharbi, Ridha B

“…Steady-state flow experimental data have been analyzed for two commonly used polymers representing two generic classes, polysaccharides (Xanflood), and…”
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The effect of asphaltene molecular characteristic on the instability of Kuwaiti crude oils by Safa, Muhieddine A., Enayat, Shayan, Rashed, Abeer M., Tavakkoli, Mohammad, Ghloum, Ebtisam F., Gharbi, Ridha, Santhanagopalan, Sriram, Vargas, Francisco M.

“…Asphaltene precipitation and subsequent deposition are challenging problems that hinder the continuous production of crude oil in many fields worldwide. In the…”
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Use of reservoir simulation for optimizing recovery performance by Gharbi, Ridha B.C

“…A three-dimensional finite-difference reservoir simulator, integrated in an EOR expert system, has been used to determine the reservoir management and…”
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