- Department of Chemical Engineering, Shahid Bahonar University of Kerman, Kerman/Iran
- +983432118298
- Ali Mohebbi is Professor of Chemical Engineering at Shahid Bahonar University of Kerman, Iran. He received his PhD fr... moreAli Mohebbi is Professor of Chemical Engineering at Shahid Bahonar University of Kerman, Iran. He received his PhD from Shiraz University, Shiraz, Iran, in 2002. His research interests include ionic liquids, molecular dynamics simulation, enhanced oil recovery, porous medium, and Computational Fluid Dynamics (CFD). Dr. Mohebbi has authored and co-authored more than 250 refereed journal and conference publications. He serves on the Editorial Boards of Gas Processing Journal(http://gpj.ui.ac.ir/journal/editorial.board) and The Open Petroleum Engineering Journal(https://benthamopen.com/TOPEJ/editorial-board/). He is a fellow of Iranian Association of Chemical Engineering, Iranian Association of Nanotechnology, Iranian Association of Science and Chemical Technology, and Society of Petroleum Engineering. Dr. Mohebbi has been selected as a Distinguished Researcher at Shahid Bahonar University of Kerman in 2007, 2008, 2009, 2014, 2015, 2018 and 2019. He has also supervised more than 60 MSc and Ph.D. theses.edit
Gas cyclone separators have been widely used in different industries. In this study, to find the best geometrical ratios of Stairmand cyclone separator, computational fluid dynamics (CFD), design of experiments (DOE), multi-gene genetic... more
Gas cyclone separators have been widely used in different industries. In this study, to find the best geometrical ratios of Stairmand cyclone separator, computational fluid dynamics (CFD), design of experiments (DOE), multi-gene genetic programming (MGGP), and ten meta-heuristic algorithms were combined. Six geometrical dimensions of the gas cyclone separator including inlet height and width, vortex finder length and its diameter, cylinder height and cone-tip diameter were optimized. The obtained models from MGGP were optimized by ten meta-heuristic algorithms and non-dominated Pareto fronts were analyzed using six unary and binary metrics and PROMETHEE II as a decision making method. According to the optimization results, multi-objective Particle Swarm Optimization (MOPSO) showed the best performance and generated more preferred designs than Stairmand design compared to other algorithms. These preferred designs increased the collection efficiency within 0.36 to 6 % and decreased the pressure drop within 3.3 to 27.5 % compared to the Stairmand.
Research Interests:
Gas cyclone separators have been widely used in different industries. In this study, to find the best geometrical ratios of Stairmand cyclone separator, computational fluid dynamics (CFD), design of experiments (DOE), multi-gene genetic... more
Gas cyclone separators have been widely used in different industries. In this study, to find the best geometrical ratios of Stairmand cyclone separator, computational fluid dynamics (CFD), design of experiments (DOE), multi-gene genetic programming (MGGP), and ten meta-heuristic algorithms were combined. Six geometrical dimensions of the gas cyclone separator including inlet height and width, vortex finder length and its diameter, cylinder height and cone-tip diameter were optimized. The obtained models from MGGP were optimized by ten meta-heuristic algorithms and non-dominated Pareto fronts were analyzed using six unary and binary metrics and PROMETHEE II as a decision making method. According to the optimization results, multi-objective Particle Swarm Optimization (MOPSO) showed the best performance and generated more preferred designs than Stairmand design compared to other algorithms. These preferred designs increased the collection efficiency within 0.36 to 6 % and decreased the pressure drop within 3.3 to 27.5 % compared to the Stairmand.
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Covid-19 disease caused by the deadly SARS-CoV-2 virus is a serious and threatening global health issue declared by the WHO as an epidemic. Researchers are studying the design and discovery of drugs to inhibit the SARS-CoV-2 virus due to... more
Covid-19 disease caused by the deadly SARS-CoV-2 virus is a serious and threatening global health issue declared by the WHO as an epidemic. Researchers are studying the design and discovery of drugs to inhibit the SARS-CoV-2 virus due to its high mortality rate. The main Covid-19 virus protease (Mpro) and human transmembrane protease, serine 2 (TMPRSS2) are attractive targets for the study of antiviral drugs against SARS-2 coronavirus. Increasing consumption of herbal medicines in the community and a serious approach to these drugs have increased the demand for effective herbal substances. Alkaloids are one of the most important active ingredients in medicinal plants that have wide applications in the pharmaceutical industry. In this study, seven alkaloid ligands with Quercetin nucleus for the inhibition of Mpro and TMPRSS2 were studied using computational drug design including molecular docking and molecular dynamics simulation (MD). Auto Dock software was used to evaluate molecular binding energy. Three ligands with the most negative docking score were selected to be entered into the MD simulation procedure. To evaluate the protein conformational changes induced by tested ligands and calculate the binding energy between the ligands and target proteins, GROMACS software based on AMBER03 force field was used. The MD results showed that Phyllospadine and Dracocephin-A form stable complexes with Mpro and TMPRSS2. Prolinalin-A indicated an acceptable inhibitory effect on Mpro, whereas it resulted in some structural instability of TMPRSS2. The total binding energies between three ligands, Prolinalin-A, Phyllospadine and Dracocephin-A and two proteins MPro and TMRPSS2 are (-111.235 ± 15.877,-75.422 ± 11.140), (-107.033 ± 9.072,-84.939 ± 10.155) and (-102.941 ± 9.477,-92.451 ± 10.539), respectively. Since the binding energies are at a minimum, this indicates confirmation of the proper binding of the ligands to the proteins. Regardless of some Prolinalin-A-induced TMPRSS2 conformational changes, it may properly bind to TMPRSS2 binding site due to its acceptable binding energy. Therefore, these three ligands can be promising candidates for the development of drugs to treat infections caused by the SARS-CoV-2 virus.
Research Interests:
Research Interests:
Research Interests:
Dissolution in fractures and porous media is of great importance to different aspects of the geothermal science and petroleum industry. This numerical study aimed to determine the initial phase of dissolution growth as the breakthrough... more
Dissolution in fractures and porous media is of great importance to different aspects of the geothermal science and petroleum industry. This numerical study aimed to determine the initial phase of dissolution growth as the breakthrough time and the acid penetration length in a calcite fracture. The dissolution rate was considered as a function of temperature based on 3D numerical simulations to estimate more valid and reliable results, especially in wells at higher bottom-hole temperatures. The heat transfer model was coupled with a reactive transport model by applying the OpenFOAM toolkit based on isothermal and non-isothermal models. The dissolution evolution was simulated considering the isothermal model with the average temperature between the incoming fluid and fracture surfaces and also based on a non-isothermal model. The comparison of dissolution process results obtained from these two models showed lower dissolution rate for the non-isothermal model with a remarkable longer breakthrough time. Accordingly, a non-isothermal model would be a more reliable model for estimating fracture productivity. The results also indicated the inverse effect of temperature on the dissolution values of calcite formation. In other words, increasing the temperature caused a shorter penetration length and a longer breakthrough time eventually leadings to a slower dissolution rate.
Research Interests:
Natural gas usually contains significant amounts of acid gases when it is extracted from underground reservoirs. Therefore, it must be treated by appropriate processes to remove these acidic components. In this study, the simultaneous... more
Natural gas usually contains significant amounts of acid gases when it is extracted from underground reservoirs. Therefore, it must be treated by appropriate processes to remove these acidic components. In this study, the simultaneous absorption of carbon dioxide and hydrogen sulfide from natural gas into diethanol amine solution was simulated using CFD. Absorption process was performed in a wetted-wall column with counter-current gas-liquid flow. A two-dimensional simulation based on the volume of fluid model was used. To investigate the hydrodynamics of the flow in the column, distribution of the volume fraction of phases along the column, the formation of liquid film and velocity profiles were studied. To validate the results for predicting the liquid film thickness, the column was simulated at different flow rates of water and air in laminar flow regime. Simulation results for liquid film thickness were compared with experimental data. Then by considering the mass transfer from ...
Research Interests:
Gas compressibility factor (z-factor) is an important parameter widely applied in petroleum and chemical engineering. Experimental measurements, equations of state (EOSs) and empirical correlations are the most common sources in zfactor... more
Gas compressibility factor (z-factor) is an important parameter widely applied in petroleum and chemical engineering. Experimental measurements, equations of state (EOSs) and empirical correlations are the most common sources in zfactor calculations. However, these methods have serious limitations such as being time-consuming as well as those from a computational point of view, like instability, convergence and accuracy. Accurate and fast estimation of this parameter is of interest and a challenging factor in the numerous calculations related to oil and gas processing plants. In this study, a meta-learning algorithm named multi-gene genetic algorithm (MGGP) was applied to predict the sweet gas compressibility factor. To assess the effectiveness of the MGGP model statistical criteria, is applied. The validity of this proposed model was compared with the experimental data. The results showed that the model has successfully predicted the sweet natural gas z-factor, especially at the mi...
Research Interests:
Research Interests:
In this study, it was shown that how CO2 and H2S were removed from a natural gas stream, using a nanofluid containing nanoporous graphene in Diehanolamine (DEA). Before running the experiments, the appropriate values were chosen for the... more
In this study, it was shown that how CO2 and H2S were removed from a natural gas stream, using a nanofluid containing nanoporous graphene in Diehanolamine (DEA). Before running the experiments, the appropriate values were chosen for the nanosheet dosage and the liquid and gas flow rates in the absorption experiments, which were performed in a laboratory scale wetted wall column. In the experiments, the nanosheet concentration ranged from 0.005 to 0.5 wt %.The surfactants and ultrasonic treatment were used to prepare stable nanofluids. It was indicated that using nanoporous graphene in DEA significantly affects on CO2 and H2S absorption in comparison to DEA. The absolute zeta potential values of nanofluids were greater than +35 mV. The effect of different parameters including nanosheet concentration as well as the CO2 and H2S concentration, in the feed gas stream (two different samples) on simultaneous absorption of H2S and CO2 from CO2-H2S-CH4 gas mixture was studied. In the case o...
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Abstract Gas cyclone separators have been widely used in different industries. In this study, to find the best geometrical ratios of Stairmand cyclone separator, computational fluid dynamics (CFD), design of experiments (DOE), multi-gene... more
Abstract Gas cyclone separators have been widely used in different industries. In this study, to find the best geometrical ratios of Stairmand cyclone separator, computational fluid dynamics (CFD), design of experiments (DOE), multi-gene genetic programming (MGGP), and ten meta-heuristic algorithms were combined. Six geometrical dimensions of the gas cyclone separator including inlet height and width, vortex finder length and its diameter, cylinder height and cone-tip diameter were optimized. The obtained models from MGGP were optimized by ten meta-heuristic algorithms and non-dominated Pareto fronts were analyzed using six unary and binary metrics and PROMETHEE II as a decision making method. According to the optimization results, multi-objective Particle Swarm Optimization (MOPSO) showed the best performance and generated more preferred designs than Stairmand design compared to other algorithms. These preferred designs increased the collection efficiency within 0.36 to 6% and decreased the pressure drop within 3.3 to 27.5% compared to the Stairmand.
Research Interests:
Abstract In this study, focused radio wave (RW) assisted leaching was investigated for the first time to considerably enhance the efficiency of copper leaching from its low-grade ores. For this purpose, the effect of exposure to radio... more
Abstract In this study, focused radio wave (RW) assisted leaching was investigated for the first time to considerably enhance the efficiency of copper leaching from its low-grade ores. For this purpose, the effect of exposure to radio wave electromagnetic irradiation was experimentally investigated. Two series of leaching tests were conducted, in the form of agitated slurry and fixed-bed column modes. The experimental results indicated a significant improvement of recovery in both modes. The most probable mechanisms for enhanced recoveries could be the dielectric heating through concentrated irradiation. For less than 24 h of leaching in the fixed-bed column under irradiation, the recovery improved by about 40% (~60% for leaching vs. ~100% for RF leaching), as compared to the same tests with no irradiation, while the agitated leaching tests showed an increase of up to 10% under irradiation. It is concluded that electromagnetic technology, even in the range of radiofrequency (
Research Interests:
Abstract By displacing oil in porous media with other fluid, different mechanisms of fluid displacing occur. The importance of understanding the trapping mechanisms like pore body filling is irrefutable. Pore body filling mechanism with a... more
Abstract By displacing oil in porous media with other fluid, different mechanisms of fluid displacing occur. The importance of understanding the trapping mechanisms like pore body filling is irrefutable. Pore body filling mechanism with a coordination number of four has different events like I0, I1, I2 and I3. Previous studies showed that the event of I0 occurs when the pore is only filled by a compressible non-wetting phase, but this study showed that this event could also occur by an incompressible non-wetting phase. Trapping mechanisms can be examined in a glass micro-model. In this research, a glass micro-model with three different patterns was used. Results showed that at two spots of the micro-model, the mechanism of the pore body filling (PBF) for the I0 event could be occurred by an incompressible non-wetting phase. The occurrence of the I0 event was performed after the events: corner film flow of wetting phase from one of the four-junction of the pore, then swelling wetting phase at the throat and at last snapping-of non-wetting phase at pore centre. By using this new mechanism, one can achieve more accurate simulation and modelling of fluid flow through porous media. This issue is necessary for pore network modelling of oil-wet fractured reservoirs.
Research Interests:
Hydrophobic ionic liquids (ILs) can form biphasic systems with aqueous media and are appropriate candidates for liquid–liquid extraction (LLE). In this study, a biphasic system composed of water and the hydrophobic IL,... more
Hydrophobic ionic liquids (ILs) can form biphasic systems with aqueous media and are appropriate candidates for liquid–liquid extraction (LLE). In this study, a biphasic system composed of water and the hydrophobic IL, 1-hexyl-3-methylimidazolium hexafluorophosphate, [HMIM][PF6] was studied using molecular dynamics (MD) simulation to understand the molecular-level distribution of the heavy metal cadmium ions, Cd2+, in the water–IL biphasic system in the presence of hydrochloric acid. The experimentally observed positive effect of adding chloride to the aqueous phase on the metal extraction was studied at the molecular scale. Particularly, the effect of hydrochloric acid addition on the solubility of the IL cations and anions in the water was investigated. It was found that with adding hydrochloric acid (1 M) to the water phase, the IL cation solubility in water decreased; however, the IL anion solubility almost did not change. This can affect the extraction process of the metal ions. Moreover, it was found that during the [CdCl4]2− migration to the IL phase, a gradual breaking of the hydrogen bonds occurs between the complex and the water molecules at the interface. Therefore, quantum mechanics (QM) calculations were performed to explain the interaction energies of the cadmium complex with water and the IL. The calculated interaction energy of the ternary complex of IL–[CdCl4]2−–H2O was found to be greater than that of the binary complexes of IL–[CdCl4]2− and H2O–[CdCl4]2−. The results obtained in this work give some insights into the behaviour of the IL-based extraction systems in contact with aqueous solutions containing salts or mineral acids.
Research Interests:
Critical properties and acentric factor (ω) of 31 ionic liquids (ILs) were obtained by using vapor-liquid equilibrium data of solvent+IL consisting of P-T and P-x experimental data, based on three-parameter Patel-Teja equation of state... more
Critical properties and acentric factor (ω) of 31 ionic liquids (ILs) were obtained by using vapor-liquid equilibrium data of solvent+IL consisting of P-T and P-x experimental data, based on three-parameter Patel-Teja equation of state and genetic algorithm. Optimized Pc, Tc and ω of ILs with Peng-Robinson equation of state (PR EoS) were used to model the behavior of phase equilibria of solvent+IL. Due to lack of experimental data for optimized properties, the validation was done by comparing them to the results in the literature. In each comparison the average absolute percent deviation (AAPD) for optimized properties was based on P-T experimental data, with PR EoS was minimum. For more confidence in the correctness of optimized properties, the behavior of phase equilibria of two new mixtures (i.e., water+emimDMP and methanol+emimDMP), the density and vapor pressure of some pure ILs were predicted by PR EoS, which the prediction of this EoS was satisfactory.
Research Interests:
Research Interests:
Abstract 5-Nonylsalicylaldoxime (NSAO) is a well-known and strong extractant reagent, which is mainly used in the solvent extraction of copper and other metal ions. In this study, for the first time, the dynamic and thermodynamic... more
Abstract 5-Nonylsalicylaldoxime (NSAO) is a well-known and strong extractant reagent, which is mainly used in the solvent extraction of copper and other metal ions. In this study, for the first time, the dynamic and thermodynamic properties and structure of 5-Nonylsalicylaldoxime were investigated by molecular dynamics (MD) simulation using the CHARMM force field. The results were validated against the experimental data of 5-Nonylsalicylaldoxime, which was synthesised by these authors. The self-diffusion coefficient was calculated based on both the Green-Kubo and Einstein methods that were in excellent agreement with each other. To understand the structure of NSAO, the FTIR spectroscopy of this reagent was computed by MD simulation and compared with the FTIR spectrum of the synthesised one. There was a good agreement between the calculated and experimental spectra. Moreover, based on the radial distribution function (RDF) and coordination numbers, it was shown that the formation probability of non-complexing isomer (Z-isomer) for NSAO molecules was greater than that of the complexing isomer (E-isomer).
Research Interests:
A well-known complication in the oil reservoir during oil production is asphaltene deposition in and around the production wellbore. Deposition of asphaltene around the production wellbore may cause a significant pressure drop and in turn... more
A well-known complication in the oil reservoir during oil production is asphaltene deposition in and around the production wellbore. Deposition of asphaltene around the production wellbore may cause a significant pressure drop and in turn loss of efficiency in the production process. Various mechanical and chemical methods have been employed in order to reduce asphaltene formation or to eliminate the precipitate. A novel technique which presented a great potential for prevention or elimination of asphaltene is spreading out the high energy ultrasound wave within the oil reservoir. In this study, in a glass micro-model, asphaltene precipitation was first simulated in a transparent porous medium and its removal by application of high energy ultrasound wave was then investigated. To simulate asphaltene precipitation, the micro-model was first saturated with oil and then a normal-pentane was injected. This was followed by flooding the porous media with brine while propagating ultrasound...
Research Interests:
ABSTRACT Buoyancy induced flow is one type of flow that can occur in relation to a wide range of hydrocarbon reservoir, deep circulation of groundwater and flow around buried radioactive waste. The objective of the present study was to... more
ABSTRACT Buoyancy induced flow is one type of flow that can occur in relation to a wide range of hydrocarbon reservoir, deep circulation of groundwater and flow around buried radioactive waste. The objective of the present study was to study the transient two-dimensional natural convection in a fractured porous medium. A computational fluid dynamics (CFD) simulation was carried out to study the velocity and temperature distribution between the two bases of a horizontal solid slab containing a fluid-filled fracture that crosses the slab. The governing equations include continuity, momentum and energy equations with Boussinesq approximation were solved simultaneously using appropriate boundary conditions. This study was confined to work out for low-Rayleigh-number flows. The simulation results were compared with experimental data to validate the accuracy of the CFD work. The CFD results were in excellent agreement with experimental data from the literature. In addition, the effective parameters such as the aspect-ratio and fracture distribution on natural convection were investigated. The results indicated that increasing the aspect-ratio of fracture caused an increase of the maximum velocity in the fracture and temperature profile in the model was affected by fractures communication. Furthermore, the effect of porous medium with a tilted fracture through it was discussed.
Research Interests:
Abstract Molecular dynamics (MD) simulations were performed to compute the properties of the ionic liquid 1-hexyl-3-methylimidazolium hexafluorophosphate, [hmim][PF 6 ], at three different temperatures (298, 323, and 348 K) and... more
Abstract Molecular dynamics (MD) simulations were performed to compute the properties of the ionic liquid 1-hexyl-3-methylimidazolium hexafluorophosphate, [hmim][PF 6 ], at three different temperatures (298, 323, and 348 K) and atmospheric pressure. Thermodynamic, structural, and dynamical properties, such as average density, isobaric thermal expansion coefficient, isothermal compressibility factor, radial distribution function (RDF), spatial distribution function (SDF), mean square displacement (MSD) and velocity autocorrelation function (VACF) were computed and interpreted. The ionic self-diffusion coefficients were calculated using both the Einstein and Green–Kubo formulas and it was found that the cation diffuses faster than the anion and contributes more in the electric current. The ionic self-diffusion coefficients obtained from the Green–Kubo method agreed reasonably well with the experimental data in compared to the Einstein method. Also, the self-diffusion coefficients obtained from the two methods were used to calculate the ionic conductivity from the Nernst–Einstein equation. The effects of the system size and simulation run-time on determining diffusivity using the Einstein method were also investigated. The RDFs show that anions interact preferentially with the cation ring especially in direction of the acidic hydrogen atom of the imidazolium ring. This interaction was identified as hydrogen bonding interaction and observed using SDF.
Research Interests:
Research Interests:
Abstract In this communication, effect of Surface Modified Clay Nanoparticles (SMCN) on rheological behavior of Hydrolized Polyacrylamid (HPAM) solution and also its resistance against the increases in temperature and salinity were... more
Abstract In this communication, effect of Surface Modified Clay Nanoparticles (SMCN) on rheological behavior of Hydrolized Polyacrylamid (HPAM) solution and also its resistance against the increases in temperature and salinity were investigated experimentally. An increases in polymer solution viscosity result in a decrease in mobility ratio then consequently it may increase the polymer flooding efficiency. High pressures imposed on polymers during flooding processes cause a considerable shear stress on them, which lead to breakage of polymer chains. In addition, at elevated temperatures, certain chemical reactions are accelerated and subsequently this force polymer chains to compress. This kind of behavior (compactness of polymer chains) can be observed in a saline environment. Therefore, polymer viscosity and consequent flooding process efficiency is decreased. To prevent deformation of polymers and increase the internal friction of the solution, surface of certain clay nanoparticles were modified by specific tetrahedral redundants and located between polymer chains. Finally, the potential utilization of these novel clay nanoparticles in improving the performance of polymer flooding on an unconsolidated sandpacks were investigated. According to the results, we suggest 0.1% wt concentration of SMCN as the optimum concentration in which the SMCN-HPAM solution is stable. In addition, results indicate that adding SMCN improves the resistance of polymer solution against an increases in salinity and temperature, and also its shear thinning behavior. Moreover, the experimental result indicates that SMCN-HPAM increases the oil recovery about 33% more than ordinary polymer flooding processes.
Research Interests:
Abstract In this study, to remove CO2 and H2S from a natural gas stream through some absorption experiments, a nanofluid containing SiO2 and Al2O3 nanoparticles in Diethanolamine was used. We employed a wetted wall column system in a... more
Abstract In this study, to remove CO2 and H2S from a natural gas stream through some absorption experiments, a nanofluid containing SiO2 and Al2O3 nanoparticles in Diethanolamine was used. We employed a wetted wall column system in a laboratory scale. Some quantities including the nanoparticle dosage, the liquid, and gas flow rates were adjusted to the best removal percent. The range of nanoparticle concentration varied from 0.005 to 0.5 wt. % in our experiments. The nanofluids were prepared by ultrasonic treatment and showed acceptable stability. In addition, a parametric analysis was performed to explore the effects of particle types, as well as concentrations on absorption of H2S and CO2. The results showed up to 33% improvement of CO2 absorption at 0.05 wt. % of Al2O3/DEA nanofluids, and also 40% at 0.05 wt.% of SiO2/DEA nanofluids for sample no.1 (feed gas mixture composition: 50 ppm H2S and 3% CO2 in balance of CH4). Moreover, adding silica nanoparticles to DEA deteriorated the absorption of H2S; whereas using Al2O3/DEA nanofluid with 0.1wt.% Al2O3 enhanced the absorption by 14%.
Research Interests:
ABSTRACT Solid particles suspended in natural gas pipelines cause many fundamental problems in transmission and distribution network of natural gas. Conducted measurements in the natural gas network of Kerman city, Iran showed a high... more
ABSTRACT Solid particles suspended in natural gas pipelines cause many fundamental problems in transmission and distribution network of natural gas. Conducted measurements in the natural gas network of Kerman city, Iran showed a high concentration of black powder in the pipeline. It was found that the current filtration system not to be efficient to remove the solids. Thus, with regarding to the size of black powder, to improve the filtration a cyclone separator before the filtration process was proposed. In this study, the required cyclones for separating black powder from natural gas at high pressure for CGS #1 of Kerman city, Iran were designed. Then, using computational fluid dynamics, simulations were done and their performance evaluated at different conditions. The Reynolds Stress model was used to model the turbulent flow due to existence of swirling flow inside the cyclone. Particle trajectories were calculated by discrete phase model. A high efficiency Stairmand cyclone was selected. To increase the efficiency and prevent direct escapement of particles entering into the cyclone from the internal vortex finder, the vortex length was optimized using Genetic Algorithm (GA). In order to design the cyclone, a number of algorithms were written to calculate the required number of cyclones. The cyclone was designed at pressure and temperature of 1000 psi and 20 °C respectively for maximum capacity of CGS #1 of Kerman city. It is attempted to satisfy the standards of American Society of Mechanical Engineers for pressure vessels in cyclone design. Diameter and thickness of the designed cyclone are 55 cm and 1.125 inches respectively. Simulation validation was done using the Grid Convergence method. The cyclone is able to separate particles with efficiency of more than 96% in summer (the lowest consumption time) and winter (the highest consumption time) well.
Research Interests:
Research Interests:
In this paper, methane adsorption on open ended single-walled carbon nanotubes (o-SWCNT) is studied using molecular dynamics simulation. A site-site potential model of so-called Leonard-Jones is considered to evaluate all interactions.... more
In this paper, methane adsorption on open ended single-walled carbon nanotubes (o-SWCNT) is studied using molecular dynamics simulation. A site-site potential model of so-called Leonard-Jones is considered to evaluate all interactions. Monolayer adsorption isotherms for methane inside/outside of an armchair (10, 10) o-SWCNT are obtained in different temperatures. The simulation data are compared with those of the classical adsorption models. Among the many isotherms tested for the simulations, we found that the hybrid isotherm model of the Langmuir and Sips with four parameters nicely fitted the simulation data. The isosteric heat of adsorption is measured as well.
Analytical Solutions and type curves for the constant rate radial flow of fluid in both conventional and naturally fractured reservoirs including the effect of wellbore phase redistribution are presented. An automated procedure for... more
Analytical Solutions and type curves for the constant rate radial flow of fluid in both conventional and naturally fractured reservoirs including the effect of wellbore phase redistribution are presented. An automated procedure for non-linear least square minimization using the analytical solutions and their derivatives with respect to the unknown parameters developed to analyze the pressure build up data affected by phase redistribution. Field examples and analysis are also presented.
Research Interests:
Research Interests:
Research Interests:
Proper permeability distribution in reservoir models is very important in the determination of oil and gas reservoir quality. In fact, it is not possible to have accurate solutions in many petroleum engineering problems without having... more
Proper permeability distribution in reservoir models is very important in the determination of oil and gas reservoir quality. In fact, it is not possible to have accurate solutions in many petroleum engineering problems without having accurate values for this key parameter of hydrocarbon reservoir. Permeability estimation by individual techniques within the various porous media can vary with the state of in situ environment, fluid distribution, and the scale of the medium under investigation. Recently, attempts have been made to utilize artificial intelligent methods for the identification of the relationship which may exist between the well log data and core permeability. This study overviews the different artificial intelligent methods in permeability prediction with advantage of each method. Finally, some suggestions and comments to choose the best method are introduced.
Research Interests:
ABSTRACT The accurate determination of choke performance in oil pipelines is considered a main challenge for petroleum engineers. This study introduces a new correlation based on genetic programming (GP) to describe choke performance in... more
ABSTRACT The accurate determination of choke performance in oil pipelines is considered a main challenge for petroleum engineers. This study introduces a new correlation based on genetic programming (GP) to describe choke performance in both critical and subcritical flow conditions in pipeline flow regimes. The GP model is developed using field data collected from various Iranian oil well pipelines. Statistical error parameters are used to compare the accuracy of results obtained from the new correlation with other empirical models. The GP model predicted the choke performance for critical flow condition with relatively lower error (normalized mean square error = 0.006) and higher accuracy (R = 0.993%). In addition, the results of the model in a subcritical flow regime showed that the GP model could be applied effectively and yield high accuracy for choke performance pipeline forecasting. (C) 2014 American Society of Civil Engineers.
Research Interests:
ABSTRACT In this study, prediction of recovery factor (RF) for CO2 injection into oil reservoirs based on artificial neural networks (ANNs) and mathematical models were investigated. To design the optimum ANN model, number of neurons,... more
ABSTRACT In this study, prediction of recovery factor (RF) for CO2 injection into oil reservoirs based on artificial neural networks (ANNs) and mathematical models were investigated. To design the optimum ANN model, number of neurons, hidden layers, and training function were studied. Finally, efficiency of the models was evaluated using new data. As a result of this work, it can be concluded that it is possible to predict RF in CO2 injection process by ANN and mathematical model. However, values that obtained from ANN were in the best agreement with the actual values than regression model. The proposed artificial neural network predicted RF during CO2 injection with error about 0.396%. Those who click on the following link will be taken directly to the full-text version of our article: http://www.tandfonline.com/eprint/KyBEyxpHrjpUn78RVxG2/full
Research Interests:
Research Interests:
In this study a new simple equation based on the virial equation has been developed to predict the compressibility factor of nonpolar pure fluids. This equation is a third order polynomial and takes into account reduced pressure, reduced... more
In this study a new simple equation based on the virial equation has been developed to predict the compressibility factor of nonpolar pure fluids. This equation is a third order polynomial and takes into account reduced pressure, reduced temperature and the second virial coefficient. The result from this equation have been compared with experimental data, Lee- Kesler and two term virial equations. This comparison shows good agreement between the equation and the experimental data. This equation also predicts the critical compressibility factor very good. After validating the equation, other thermodynamic properties such as enthalpy and entropy have been calculated and the results have been compared with experimental data.