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A Numerical Approach for Multicomponent Vapor Solid Equilibrium Calculations in Gas Hydrate Formation

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Journal of Natural Gas Chemistry 2007年第1期16卷 16-21页

作者： alireza.bahadori Department of Petroleum Engineering National Iranian South Oil Co.AhwazP.O.Box 61735-1338Iran

A new numerical approach has been developed for vapor solid equilibrium calculations and for predicting vapor solid equilibrium constant and composition of vapor and solid phases in gas hydrate formation. Equation of state methods generally do a good job of determining vapor phase properties, but for solid phase it is much more difficult and inaccurate. This proposed new model calculates vapor solid equilibrium constant and vapor and solid phase composition as a function of temperature and partial pressure. The results of this proposed numerical approach, for vapor solid equilibrium, have a good agreement with the available reported data. This new numerical model also has an advantage to tune coefficients, to cover different sets of experimental data accurately.

关键词： numerical model vapor solid equilibrium hydrate multicomponent system

Novel predictive tool for accurate estimation of packed column size

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Journal of Natural Gas Chemistry 2010年第2期19卷 146-150页

作者： alireza.bahadori Hari B.Vuthaluru Department of Chemical Engineering Curtin University of TechnologyGPO Box U1987PerthWA 6845Australia

Traditionally the majority of fractionation columns in natural gas processing plants were equipped with *** an option to trayed columns is to use *** columns offer a larger surface area per unit volume for mass transfer and the continuous gas to liquid contact throughout the column rather than at specific levels （such as in tray columns）.For process design purposes,it is essential to estimate the pressure drop for enabling the proper operation of packed *** this study,a simple generalized pressure drop correlation （GPDC） which is easier than existing approaches requiring more complicated and longer computations is developed for sizing randomly packed fractionation columns for pressure drops up to 150 mm water per meter of *** correlation can be used to estimate pressure drop for a given loading and column ***,for a given pressure drop the diameter can be *** predictions from the proposed correlation have been compared with reported data and found good agreement with average absolute deviation hovering around 4.9%.The proposed predictive tool is superior owing to its accuracy and clear numerical background,wherein the relevant coefficients can be retuned quickly if new and more accurate data are available in the *** proposed simple-to-use approach can be of immense practical value for the engineers and scientists to have a quick check on the pressure drop in packed columns for a given loading and column *** particular,gas engineers would find the proposed approach can be used very friendly involving no complex expressions with transparent and easy-to-handle calculation steps.

关键词： packed columns packing pressure drop flooding design principles

Analyzing solubility of acid gas and light alkanes in triethylene glycol

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Journal of Natural Gas Chemistry 2008年第1期17卷 51-58页

作者： alireza.bahadori Hari B.Vuthaluru Saeid Mokhatab Department of Chemical Engineering Curtin University of TechnologyGPO Box 1987PerthWA 6845Australia Process Technology Manager Tehran Raymand Consulting EngineersTehranIran

Physical solvents such as ethylene glycol （EG）, diethylene glycol （DEG）, and triethylene glycol （TEG） are commonly used in wet gas dehydration processes with TEG being the most popular due to ease of regeneration and low solvent losses. Unfortunately, TEG absorbs significantly more hydrocarbons and acid gases than EG or DEG. Quantifying this amount of absorption is therefore critical in order to minimize hydrocarbon losses or to optimize hydrocarbon recovery depending on the objective of the process. In this article, a new correlation that fully covers the operating ranges of TEG dehydration units is developed in order to determine the solubility of light alkanes and acid gases in TEG solvent. The influence of several parameters on hydrocarbon and acid gas solubility including temperature, pressure, and solvent content is also examined.

关键词： solubility triethylene glycol acid gas hydrocarbon gas dehydration

Rapidly Estimating Natural Gas Compressibility Factor

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Journal of Natural Gas Chemistry 2007年第4期16卷 349-353页

作者： alireza.bahadori Saeid Mokhatab Brian F.Towler Department of Chemical Engineering Curtin University of Technology GPO Box 1987PerthWA 6845Australia Process Technology Department Tehran Raymand Consulting Engineers TehranIran Chemical and Petroleum Engineering Department University of Wyoming Laramie.WYUSA

Natural gases containing sour components exhibit different gas compressibility factor （Z） behavior than do sweet gases. Therefore, a new accurate method should be developed to account for these differences. Several methods are available today for calculating the Z-factor from an equation of state. However, these equations are more complex than the foregoing correlations, involving a large number of parameters, which require more complicated and longer computations. The aim of this study is to develop a simplified calculation method for a rapid estimating Z-factor for sour natural gases containing as much as 90% total acid gas. In this article, two new correlations are first presented for calculating the pseudo- critical pressure and temperature of the gas mixture as a function of the gas specific gravity. Then, a simple correlation on the basis of the standard gas compressibility factor chart is introduced for a quick estimation of sweet gases＇ compressibility factor as a function of reduced pressure and temperature. Finally, a new corrective term related to the mole fractions of carbon dioxide and hydrogen sulfide is developed.

关键词： natural gas compressibility factor sour gas critical pressure critical temperature

A novel correlation for estimation of hydrate forming condition of natural gases

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Journal of Natural Gas Chemistry 2009年第4期18卷 453-457页

作者： alireza.bahadori Hari. B. Vuthaluru Department of Chemical Engineering Curtin University of Technology

An inherent problem with natural gas production or transmission is the formation of gas hydrates, which can lead to safety hazards to production/transportation systems and to substantial economic risks. Therefore, an understanding of conditions where hydrates form is necessary to overcome hydrate related issues. Over the years, several models requiring more complicated and longer computations have been proposed for the prediction of hydrate formation conditions of natural gases. For these reasons, it is essential to develop a reliable and simple-to-use method for oil and gas practitioners. The purpose of this study is to formulate a novel empirical correlation for rapid estimation of hydrate formation condition of sweet natural gases. The developed correlation holds for wide range of temperatures （265 - 298 K）, pressures （1200 to 40000 kPa） and molecular weights （16-29）. New proposed correlation shows consistently accurate results across proposed pressure, temperature and molecular weight ranges. This consistency could not be matched by any of the widely accepted existing correlations within the investigated range. For all conditions, new correlation showed average absolute deviation to be less than 0.2% and provided much better results than the widely accepted existing correlations.

关键词： gas hydrate correlation natural gas

Regressive approach for predicting bearing capacity of bored piles from cone penetration test data

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Journal of Rock Mechanics and Geotechnical Engineering 2015年第5期7卷 584-592页

作者： Iyad S. Alkroosh Mohammad bahadori Hamid Nikraz alireza.bahadori Department of Civil Engineering College of Engineering Al-Qadissiya University School of Soil Science and Engineering University of Tehran Department of Civil Engineering Curtin University School of Environment Science and Engineering Southern Cross University

In this study, th e least sq u are su p p o rt v ecto r m achine （LSSVM） alg o rith m w as applied to predicting th ebearing capacity o f b ored piles e m b ed d ed in sand an d m ixed soils. Pile g eo m etry an d cone p e n e tra tio nte s t （CPT） resu lts w ere used as in p u t variables for pred ictio n o f pile bearin g capacity. The d ata u se d w erecollected from th e existing litera tu re an d consisted o f 50 case records. The application o f LSSVM w ascarried o u t by dividing th e d ata into th re e se ts： a train in g se t for learning th e pro b lem an d obtain in g arelationship b e tw e e n in p u t variables an d pile bearin g capacity, and testin g an d validation sets forevaluation o f th e predictive an d g en eralization ability o f th e o b tain ed relationship. The predictions o f pilebearing capacity by LSSVM w ere evaluated by com paring w ith ex p erim en tal d ata an d w ith th o se bytrad itio n al CPT-based m eth o d s and th e gene ex pression pro g ram m in g （GEP） m odel. It w as found th a t th eLSSVM perform s w ell w ith coefficient o f d eterm in atio n , m ean, an d sta n d ard dev iatio n equivalent to 0.99,1.03, an d 0.08, respectively, for th e testin g set, an d 1, 1.04, an d 0.11, respectively, for th e v alidation set. Thelow values o f th e calculated m ean squared e rro r an d m ean ab so lu te e rro r indicated th a t th e LSSVM w asaccurate in p redicting th e pile bearing capacity. The results o f com parison also show ed th a t th e p roposedalg o rith m p red icted th e pile bearin g capacity m ore accurately th a n th e trad itio n al m eth o d s including th eGEP m odel.

关键词： Bored piles Cone penetration test(CPT) Bearing capacity Least square support vector machine(LSSVM) Training Validation

Predicting hydrate forming pressure of pure alkanes in the presence of inhibitors

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Journal of Natural Gas Chemistry 2008年第3期17卷 249-255页

作者： alireza.bahadori Hari B.Vuthaluru Saeid Mokhatab Moses O.Tade Department of Chemical Engineering Curtin University of Technology Process Technology Department Tehran Raymand Consulting Engineers

An inherent problem with natural gas production or transmission is the formation of gas hydrates, which can lead to safety hazards for production/transportation systems, and substantial economic risks. Hydrate inhibition with different inhibitors such as, methanol, ethylene glycol （EG）, triethylene glycol （TEG）, and sodium chloride solution continues to play a critical role in many operations. An understanding of when the hydrates form in the presence of these hydrate inhibitors, is therefore necessary to overcome hydrate problems. Several thermodynamic models have been proposed for predicting the hydrate formation conditions in aqueous solutions containing methanol/glycols and electrolytes. However, available models have limitations that include the types of liquid, compositions of fluids, and inhibitors used. The aim of this study is to develop a simple-to-use correlation for accurate prediction of hydrate-forming pressures of pure alkanes in the presence of different hydrate inhibitors, where the obtained results illustrate good agreement with the reported experimental data.

关键词： gas hydrates pure alkanes methanol: ethylene glycol triethylene glycol sodium chloride

Decline curve based models for predicting natural gas well performance

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Petroleum 2017年第2期3卷 242-248页

作者： Arash Kamari Amir HMohammadi Moonyong Lee alireza.bahadori Disciples of Chemical Engineering School of EngineeringUniversity of KwaZulu-NatalHoward College CampusKing George V AvenueDurban 4041South Africa Institut de Recherche en Genie Chimique et Petrolier(IRGCP) Paris CedexFrance Departement de Genie des Mines de la Metallurgie et des MateriauxFaculte des Sciences et de GenieUniversite LavalQuebecQC G1V 0A6Canada School of Chemical Engineering Yeungnam UniversityGyeungsanRepublic of Korea School of Environment Science&EngineeringSouthern Cross UniversityLismoreNSW 2480Australia Australian Oil and Gas Services Pty Ltd LismoreNSW 2480Australia

The productivity of a gas well declines over its production life as cannot cover economic *** overcome such problems,the production performance of gas wells should be predicted by applying reliable methods to analyse the decline ***,reliable models are developed in this study on the basis of powerful artificial intelligence techniques *** artificial neural network(ANN)modelling strategy,least square support vector machine(LSSVM)approach,adaptive neurofuzzy inference system(ANFIS),and decision tree(DT)method for the prediction of cumulative gas production as well as initial decline rate multiplied by time as a function of the Arps'decline curve exponent and ratio of initial gas flow rate over total gas flow *** was concluded that the results obtained based on the models developed in current study are in satisfactory agreement with the actual gas well production ***,the results of comparative study performed demonstrates that the LSSVM strategy is superior to the other models investigated for the prediction of both cumulative gas production,and initial decline rate multiplied by time.

关键词： Decline curve Production Rate Model Gas well

Prediction of reservoir brine properties using radial basis function (RBF) neural network

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Petroleum 2015年第4期1卷 349-357页

作者： Afshin Tatar Saeid Naseri Nick Sirach Moonyong Lee alireza.bahadori oung Researchers and Elite Club North Tehran BranchIslamic Azad UniversityTehranIran Department of Petroleum Engineering Ahwaz Faculty of Petroleum Engineering Petroleum University of TechnologyAhwazIran Southern Cross University School of EnvironmentScience and EngineeringPO Box 157LismoreNSWAustralia School of Chemical Engineering Yeungnam UniversityGyeungsanRepublic of Korea

Aquifers,which play a prominent role as an effective tool to recover hydrocarbon from reservoirs,assist the production of hydrocarbon in various *** so-called water flooding methods,the pressure of the reservoir is intensified by the injection of water into the formation,increasing the capacity of the reservoir to allow for more hydrocarbon *** studies have indicated that oil recovery can be increased by modifying the salinity of the injected brine in water flooding ***,various characteristics of brines are required for different calculations used within the petroleum ***,it is of great significance to acquire the exact information about PVT properties of brine extracted from *** properties of brine that are of great importance are density,enthalpy,and vapor *** this study,radial basis function neural networks assisted with genetic algorithm were utilized to predict the mentioned *** root mean squared error of 0.270810,0.455726,and 1.264687 were obtained for reservoir brine density,enthalpy,and vapor pressure,*** predicted values obtained by the proposed models were in great agreement with experimental *** addition,a comparison between the proposed model in this study and a previously proposed model revealed the superiority of the proposed GA-RBF model.

关键词： Reservoir brine Intelligent method Density Enthalpy Vapor pressure Radial basis function neural network