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Ehsan Heidaryan - One of the best experts on this subject based on the ideXlab platform.
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on the Viscosity of natural Gas
Fuel, 2015Co-Authors: Azad Jarrahian, Babak Aghel, Ehsan HeidaryanAbstract:Abstract This study reports new experimental Viscosity measurements at high pressure and high temperature for a sour natural Gas mixture. The measurements were conducted with a capillary tube viscometer at pressures ranging from 10.3 to 138 MPa and temperatures up to 444 K. The study develops a comprehensive model to predict natural Gas Viscosity in a wide range of pressures, temperatures and compositions. The arithmetic average of the model’s absolute error was found to be 2.4% compared with experimental data from the literature (containing the experimental data of the current study), which is acceptable for accurate engineering calculations; the absolute error demonstrates that this model is superior to other methods.
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a simple correlation to estimate natural Gas Viscosity
Journal of Natural Gas Science and Engineering, 2014Co-Authors: Azad Jarrahian, Ehsan HeidaryanAbstract:Abstract A general investigation of the Viscosity of natural Gas as a function of temperature, pressure and composition was carried out to develop a generalized correlation. The model obtained was based on 3231 data points of 29 multicomponent mixtures in wide ranges of pressures (0.1–137.8 MPa), temperatures (241–473 K) and specific gravities (0.573–1.337). Correction terms for non-hydrocarbons of hydrogen sulfide, carbon dioxide and nitrogen were up to 70, 54.4 and 15.8 of mole percent, respectively. The arithmetic average of the model's absolute error was found to be 5.05%, which is acceptable in engineering calculations and has superiority over other methods in its class.
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natural Gas Viscosity estimation through corresponding states based models
Fluid Phase Equilibria, 2013Co-Authors: Ehsan Heidaryan, Feridun Esmaeilzadeh, Jamshid MoghadasiAbstract:Abstract As natural Gas Viscosity is one of the most important parameters in natural Gas engineering calculations, its accurate value determination plays a key role in its management. In this study, a comprehensive model is suggested for prediction of natural Gas Viscosity in a wide range of pressures (14.69–20053 psia), temperatures (434–820 °R), and Gas specific gravity of 0.573–1.207. The new model is applicable for Gases containing heptane plus and non-hydrocarbon components. It is validated by the 3255 Viscosity data from 25 different Gas mixtures. The average absolute error of the model was found to be 3.03% and 5.89% in the comparison with the natural Gas and Gas condensate Viscosity data respectively, compared to existing similar methods, its results are quite satisfactory.
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Natural Gas Viscosity estimation using density based models
Canadian Journal of Chemical Engineering, 2012Co-Authors: Ehsan Heidaryan, Azad JarrahianAbstract:Accurate value determination of natural Gas Viscosity plays a key role in its management as it is one of the most important parameters in natural Gas engineering calculations. In this study, a comprehensive model is suggested for prediction of natural Gas Viscosity in a wide range of pressures, temperatures, densities and compositions. The new model can be applicable for Gases containing heptane plus and non-hydrocarbon components. It is validated by the 2011 Viscosity data from 18 different Gas mixtures. Compared to existing similar models and correlations, its results are quite satisfactory. © 2012 Canadian Society for Chemical Engineering
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new correlations to predict natural Gas Viscosity and compressibility factor
Journal of Petroleum Science and Engineering, 2010Co-Authors: Ehsan Heidaryan, Jamshid Moghadasi, Masoud RahimiAbstract:Abstract This study proposed two new accurate simple explicit numerical methods for calculating the z -Factor and Viscosity of natural Gases. Results of these correlations are compared versus experimental data. Proposed correlation for z -Factor has 0.402 and 1.366 of Absolute Average Percent Error (AAE%) respectively versus Standing and Katz chart and experimental data. The output of this correlation can be directly assumed or be used as an initial value of other implicit correlations. In addition, this correlation is valid for Gas coefficient of isothermal compressibility ( c g ) calculations. The new method for Viscosity accounts for the presence of heptane plus and non-hydrocarbon components. This model was derived from 1260 experimental measurement of Gas Viscosity of eleven different mixtures with AAE% of 2.083. This model is simpler and more efficient than published correlations, and the comparisons indicate superiority of the proposed model over other methods.
Abdolhossein Hemmatisarapardeh - One of the best experts on this subject based on the ideXlab platform.
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rigorous prognostication of natural Gas Viscosity smart modeling and comparative study
Fuel, 2018Co-Authors: Alireza Rostami, Abdolhossein Hemmatisarapardeh, Shahaboddin ShamshirbandAbstract:Abstract The current study plays a major role in modeling natural Gas Viscosity in terms of several operating parameters including pseudo-reduced properties and molecular weight through radial basis function neural network (RBFNN), least-squares support vector machine (LSSVM), and multilayer perceptron neural network (MLPFNN). As it known, an important feature of any comprehensive modeling is the application of a large database for model development. Therefore, more than 3800 Gas Viscosity data points were used for modeling. For upgrading the efficiency of the abovementioned predictive tools, four optimization algorithms including levenberg-marquardt (LM), coupled simulating annealing (CSA), Bayesian regularization (BR), and scaled conjugate gradient (SCG), were integrated with them to find the optimal models’ parameters during prediction analysis. Consequently, it was understood that among the all suggested tools in this study, the MLP-LM and then MLP-BR are the most accurate models for estimating Gas Viscosity with root mean square error (RMSE) of 0.001 and 0.002, respectively. Comparison of the MLP-LM and MLP-BR with previously published models in literature demonstrates their higher prediction capability, with less numbers of input parameters (without needing any density data), than the existing literature models. Based on the sensitivity analysis, it is concluded that the molecular weight is the most affecting variable on the Viscosity prediction. Finally, the suggested tools in this study can be of great value for effective estimation of Gas Viscosity in simulating both upstream and downstream natural Gas processes.
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modeling Gas vapor Viscosity of hydrocarbon fluids using a hybrid gmdh type neural network system
Journal of Molecular Liquids, 2017Co-Authors: Atefeh Dargahizarandi, Abdolhossein Hemmatisarapardeh, Sassan Hajirezaie, Bahram Dabir, Saeid AtashrouzAbstract:Abstract Estimation of natural Gas Viscosity is essential for accurate analysis of Gas reserves, reservoir simulation and optimum Gas consumption. The general method for calculation of Gas Viscosity is to conduct experimental tests, however, these tests are normally time consuming and expensive as well as sometimes even impossible at some specific pressure and temperature conditions. In this study, a group method of data handling (GMDH)-type neural network was utilized to predict the Viscosity of pure hydrocarbon and Gas mixtures containing heavy components and impurities such as carbon dioxide, helium and nitrogen by using more than 3800 data points. First, the data sets were divided into three parts based on their density. Next, a model was developed for each part as a function of molecular weight, pseudo reduced temperature, pseudo reduced pressure and density. The proposed models were compared to 13 well-known models by performing graphical and statistical error analyses. The results indicate that the average absolute percent relative error of the proposed GMDH models is 3.45% and the standard deviation from experimental data is 0.0566. Error distribution curves indicate that the proposed models are able to accurately estimate natural Gas Viscosity over a wide range of pressure and temperature conditions as no significant error trend is observed in the predictions. Finally, the results of relevancy factor analysis showed that the mixture density has the largest impact on Viscosity compared to the other input parameters.
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a smooth model for the estimation of Gas vapor Viscosity of hydrocarbon fluids
Journal of Natural Gas Science and Engineering, 2015Co-Authors: Sassan Hajirezaie, Abdolhossein Hemmatisarapardeh, Amir H Mohammadi, Maysam Pournik, Arash KamariAbstract:Precise evaluation of pure hydrocarbon and natural Gas Viscosity is vital for reliable reservoir characterization, simulation, transportation and optimum consumption. The most trustable sources of pure hydrocarbon and natural Gas Viscosity values are laboratory experiments. The need of new methods becomes important when there is not enough experimental data for specific composition, pressure, and temperature conditions. In this study, a promising approach is utilized for the prediction of viscosities of pure hydrocarbons as well as Gas mixtures containing heavy hydrocarbon components and impurities such as carbon dioxide, nitrogen, helium, and hydrocarbon sulfide using over 3800 data sets. Gene Expression Programming (GEP) is employed to develop a general model for pure and natural Gas Viscosity. The proposed model is a function of pseudo reduced pressure, pseudo reduced temperature, molecular weight and density. In addition, comparative studies are performed between the results obtained by the GEP model and previously published empirical correlations. To this end, statistical and graphical error analyses are used simultaneously. The results obtained show a value of 4.9% for average absolute percent relative error which is a measure of relative absolute deviation from the experimental data. The results also propose that standard deviation as a sign of data scattering is only 0.0870. These observations illustrate that the GEP model is more robust, reliable and consistent than the existing correlations for prediction of pure and natural Gas Viscosity. Finally, the relevancy factor shows that molecular weight has the greatest effect on Gas Viscosity.
Yasuyuki Takata - One of the best experts on this subject based on the ideXlab platform.
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The prediction of helium Gas Viscosity under high pressure and high temperature with the Chapman-Enskog solution and excess Viscosity
Journal of Physics: Conference Series, 2017Co-Authors: Elin Yusibani, Yasuyuki Takata, Zaki Su’ud, Dwi IrwantoAbstract:The purpose of this work is to predict a helium Gas Viscosity under high pressure and high temperature for practical industrial uses. The suitable force constants and a collision integral for the Chapman-Enskog solution to estimate Viscosity in the limit of zero density were recommended by the present author. At high density, modification of the Arp and McCarty extrapolation equation for excess Viscosity was applied. A combination of the Chapman-Enskog solution and modification of the Arp and McCarty excess Viscosity gives an estimation of helium Gas Viscosity within 2 to 5 % deviation from the existing experimental data under high-temperature and high-pressure region.
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The Chapman-Enskog Equation and Excess Viscosity to Predict Hydrogen Gas Viscosity in Variation of Temperature and Pressure
2014Co-Authors: Elin Yusibani, Yasuyuki TakataAbstract:Abstract. Hydrogen Fuel Cell Vehicle (FCV) is more attractive nowadays. The basic idea of HFCV is using hydrogen as its onboard fuel for motive power by reacting hydrogen with oxygen in a fuel cell to run electric motors. Viscosity of hydrogen, one of the transport properties, is a basic property required for developing any device in which hydrogen Gas flows, therefore, an accurate Viscosity data of hydrogen is needed for hydrogen society. Accurate knowledge of hydrogen Gas viscosities is very important for the developing hydrogen Gas economy. There for a recommendation relating to the best available hydrogen viscosities experimental data and the best available hydrogen correlations for practical purposes is needed. One of semi-empirical Viscosity equations uses based on the Chapman-Enskog equation, this equation is for dilute Gas and for dense Gas, and excess Viscosity is used. The Chapman-Enskog equation requires determined parameters i.e. the collision diameter (σ), the collision integral (Ω) and the maximum energy of attraction divided by the Boltzmann constant (e/κ). The excess Viscosity is an empirical equation based on the best experimental data studies. In the present study, the correlation for hydrogen Gas Viscosity is introduced and a recommendation for practical applications is made. Keywords: Chapman-Enskog, Correlation, Excess Viscosity, Hydrogen, Viscosity.
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a compact curved vibrating wire technique for measurement of hydrogen Gas Viscosity
Experimental Thermal and Fluid Science, 2013Co-Authors: Elin Yusibani, Peter Woodfield, Kanei Shinzato, Masamichi Kohno, Yasuyuki TakataAbstract:Abstract Studies with the view to application of a curved vibrating wire method to measure hydrogen Gas Viscosity have been done. A fine tungsten wire with a nominal diameter of 50 μm is bent into a semi-circular shape and arranged symmetrically in a magnetic field. The frequency domain response for forced oscillation of the wire is used for calculating the Viscosity. Argon, nitrogen, helium and hydrogen viscosities have been measured at room temperature up to 0.7 MPa. The deviations with respect to existing equations suggest that with more refinements it may be possible to take Gas Viscosity measurements with a precision of less than 1%.
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A Capillary Tube Viscometer Designed for Measurements of Hydrogen Gas Viscosity at High Pressure and High Temperature
International Journal of Thermophysics, 2011Co-Authors: Elin Yusibani, Peter Woodfield, Kanei Shinzato, Masamichi Kohno, Yasuyuki Takata, Yosuke Nagahama, Motoo FujiiAbstract:A capillary tube viscometer was developed to measure the dynamic Viscosity of Gases for high pressure and high temperature. The apparatus is simple and designed for safe-handling operation. The Gas was supplied to the capillary tube from a high-pressure reservoir tank through a pressure regulator unit to maintain a steady state flow. The measurements of a pressure drop across the capillary tube with high accuracy under extreme conditions are the main challenge for this method. A differential pressure sensor for high pressures up to 100 MPa is not available commercially. Therefore, a pair of accurate absolute pressure transducers was used as a differential pressure sensor. Then the pressure drop was calculated by subtracting the outlet pressure from the inlet one with a resolution of 100 Pa at 100 MPa. The accuracy of the present measurement system is confirmed by measuring the Viscosity of nitrogen as a reference Gas. The apparatus provided viscosities of nitrogen from ambient temperature to 500 K and hydrogen from ambient temperature to 400 K and for pressures up to 100 MPa with a maximum deviation of 2.2 % compared with a correlation developed by the present authors and with REFPROP (NIST).
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prediction of hydrogen Gas Viscosity at high pressure and high temperature
Netsu Bussei, 2010Co-Authors: Elin Yusibani, Peter Woodfield, Kanei Shinzato, Masamichi Kohno, Yasuyuki Takata, Motoo FujiiAbstract:Accurate knowledge of hydrogen Gas Viscosity is extremely important for developing a hydrogen economy. There is a need for recommendations relating to the best available Viscosity data and the best available correlations for practical purposes. The purpose of this work is to analyze the various possibilities for Viscosity correlation to estimate hydrogen Gas Viscosity in the high pressure and high temperature region for practical industrial uses. We recommend suitable force constants and a collision integral for the Chapman-Enskog solution to estimate Viscosity in the limit of zero density. At high density, modification of Diller's extrapolation equation for excess Viscosity gives good agreement with the available experimental data. A combination of the Chapman-Enskog solution and modification of Diller's excess Viscosity gives an estimation of hydrogen Gas Viscosity within 2 to 4 % deviation from the existing experimental data for the high-temperature and high-pressure region.
Masamichi Kohno - One of the best experts on this subject based on the ideXlab platform.
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a compact curved vibrating wire technique for measurement of hydrogen Gas Viscosity
Experimental Thermal and Fluid Science, 2013Co-Authors: Elin Yusibani, Peter Woodfield, Kanei Shinzato, Masamichi Kohno, Yasuyuki TakataAbstract:Abstract Studies with the view to application of a curved vibrating wire method to measure hydrogen Gas Viscosity have been done. A fine tungsten wire with a nominal diameter of 50 μm is bent into a semi-circular shape and arranged symmetrically in a magnetic field. The frequency domain response for forced oscillation of the wire is used for calculating the Viscosity. Argon, nitrogen, helium and hydrogen viscosities have been measured at room temperature up to 0.7 MPa. The deviations with respect to existing equations suggest that with more refinements it may be possible to take Gas Viscosity measurements with a precision of less than 1%.
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A Capillary Tube Viscometer Designed for Measurements of Hydrogen Gas Viscosity at High Pressure and High Temperature
International Journal of Thermophysics, 2011Co-Authors: Elin Yusibani, Peter Woodfield, Kanei Shinzato, Masamichi Kohno, Yasuyuki Takata, Yosuke Nagahama, Motoo FujiiAbstract:A capillary tube viscometer was developed to measure the dynamic Viscosity of Gases for high pressure and high temperature. The apparatus is simple and designed for safe-handling operation. The Gas was supplied to the capillary tube from a high-pressure reservoir tank through a pressure regulator unit to maintain a steady state flow. The measurements of a pressure drop across the capillary tube with high accuracy under extreme conditions are the main challenge for this method. A differential pressure sensor for high pressures up to 100 MPa is not available commercially. Therefore, a pair of accurate absolute pressure transducers was used as a differential pressure sensor. Then the pressure drop was calculated by subtracting the outlet pressure from the inlet one with a resolution of 100 Pa at 100 MPa. The accuracy of the present measurement system is confirmed by measuring the Viscosity of nitrogen as a reference Gas. The apparatus provided viscosities of nitrogen from ambient temperature to 500 K and hydrogen from ambient temperature to 400 K and for pressures up to 100 MPa with a maximum deviation of 2.2 % compared with a correlation developed by the present authors and with REFPROP (NIST).
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prediction of hydrogen Gas Viscosity at high pressure and high temperature
Netsu Bussei, 2010Co-Authors: Elin Yusibani, Peter Woodfield, Kanei Shinzato, Masamichi Kohno, Yasuyuki Takata, Motoo FujiiAbstract:Accurate knowledge of hydrogen Gas Viscosity is extremely important for developing a hydrogen economy. There is a need for recommendations relating to the best available Viscosity data and the best available correlations for practical purposes. The purpose of this work is to analyze the various possibilities for Viscosity correlation to estimate hydrogen Gas Viscosity in the high pressure and high temperature region for practical industrial uses. We recommend suitable force constants and a collision integral for the Chapman-Enskog solution to estimate Viscosity in the limit of zero density. At high density, modification of Diller's extrapolation equation for excess Viscosity gives good agreement with the available experimental data. A combination of the Chapman-Enskog solution and modification of Diller's excess Viscosity gives an estimation of hydrogen Gas Viscosity within 2 to 4 % deviation from the existing experimental data for the high-temperature and high-pressure region.
Azad Jarrahian - One of the best experts on this subject based on the ideXlab platform.
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on the Viscosity of natural Gas
Fuel, 2015Co-Authors: Azad Jarrahian, Babak Aghel, Ehsan HeidaryanAbstract:Abstract This study reports new experimental Viscosity measurements at high pressure and high temperature for a sour natural Gas mixture. The measurements were conducted with a capillary tube viscometer at pressures ranging from 10.3 to 138 MPa and temperatures up to 444 K. The study develops a comprehensive model to predict natural Gas Viscosity in a wide range of pressures, temperatures and compositions. The arithmetic average of the model’s absolute error was found to be 2.4% compared with experimental data from the literature (containing the experimental data of the current study), which is acceptable for accurate engineering calculations; the absolute error demonstrates that this model is superior to other methods.
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a simple correlation to estimate natural Gas Viscosity
Journal of Natural Gas Science and Engineering, 2014Co-Authors: Azad Jarrahian, Ehsan HeidaryanAbstract:Abstract A general investigation of the Viscosity of natural Gas as a function of temperature, pressure and composition was carried out to develop a generalized correlation. The model obtained was based on 3231 data points of 29 multicomponent mixtures in wide ranges of pressures (0.1–137.8 MPa), temperatures (241–473 K) and specific gravities (0.573–1.337). Correction terms for non-hydrocarbons of hydrogen sulfide, carbon dioxide and nitrogen were up to 70, 54.4 and 15.8 of mole percent, respectively. The arithmetic average of the model's absolute error was found to be 5.05%, which is acceptable in engineering calculations and has superiority over other methods in its class.
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Natural Gas Viscosity estimation using density based models
Canadian Journal of Chemical Engineering, 2012Co-Authors: Ehsan Heidaryan, Azad JarrahianAbstract:Accurate value determination of natural Gas Viscosity plays a key role in its management as it is one of the most important parameters in natural Gas engineering calculations. In this study, a comprehensive model is suggested for prediction of natural Gas Viscosity in a wide range of pressures, temperatures, densities and compositions. The new model can be applicable for Gases containing heptane plus and non-hydrocarbon components. It is validated by the 2011 Viscosity data from 18 different Gas mixtures. Compared to existing similar models and correlations, its results are quite satisfactory. © 2012 Canadian Society for Chemical Engineering