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Tehran, Iran

Pars Oil Company is an oil refining company with headquarters in Tehran. Wikipedia.

Mahmoodi P.,Pars Oil And Gas Company | Sedigh M.,National Iranian Oil Company
Journal of Supercritical Fluids | Year: 2016

Soave-Redlich-Kwong (SRK) cubic equations of state (CEoS), Peng-Robinson (PR) and four modifications of these equations with Soave type alpha functions at supercritical temperatures are investigated. For pure compounds two different typical behaviors of Soave type alpha function at supercritical temperature are introduced. Then criteria for occurring of these two kinds of behavior for each one of compounds are established. It is exhibited that CEoSs with Soave type alpha function after temperatures that alpha function has minimum are reasonably precise. Furthermore theoretical reason for accuracy of these equations after the abnormal behaviors of alpha functions is presented. Derivatives of soave type alpha functions are calculated and their behaviors at supercritical temperatures are explained. Finally, accuracy of CEoSs with Soave alpha function in prediction of compressibility factor, fugacity coefficient, enthalpy and constant volume heat capacity of 25 pure compounds at supercritical region are studied. © 2016 Elsevier B.V. All rights reserved.

Haghi A.H.,Shahid Bahonar University of Kerman | Kharrat R.,Petroleum University of Technology of Iran | Asef M.R.,Kharazmi University | Rezazadegan H.,Pars Oil And Gas Company
Tectonophysics | Year: 2013

The present-day state of stress in the Persian Gulf is poorly understood but has significant impacts on well drilling and performance. The upper Permian to lower Triassic formation of Kangan/Dalan, Persian Gulf, exhibits a complex structural context in the neighborhood of the Oman Mountains and the Zagros orogenies. This formation is divided into four reservoir layers (K1 to K4) where three main lithologies (limestone, dolomite and anhydrite) are alternating. We conduct an analysis of the present-day stress and natural fractures at the wellbore using full-bore FMI logs, leak off test and density logs. For this purpose, borehole breakout and tensile fracture data are used to determine orientation of SH. Furthermore, density log, leak-off test and Kirsch equation for tensile fracture formation in the wellbores are used to calculate the magnitude of Sv, Sh and SH, respectively. Vertical stress (Sv) gradient at 3100m depth approximates 20MPa/km (2.9psi/m), indicating a bulk density of 2.04g/cm3. A total of 131 drilling induced tensile fractures and 21 breakouts with an overall length of 262m are observed in two wells, indicating a mean maximum horizontal stress (SH) orientation of N53° (±18.45°) for drilling-induced tensile fracture (DITF) data and N50° (±10.79°) for breakout data. The mean orientation of SH rotates counterclockwise with depth from K2 (N70°±4.2°) to K4 (N40°±5.1°) reservoirs. Noticed correlation between these data and stress orientations from earthquake focal mechanism solution, first of all, indicates that the stresses are linked to the resistance forces generated by the Arabia-Eurasia collision at the Zagros orogeny and secondly confirms the reliability of focal mechanism solution data near continental collision zones. In the Kangan/Dalan Formation, the NW-SE main open fracture direction is found as a common regional direction which is sub-perpendicular to the present-day maximum horizontal stress. Minimum horizontal stress (Sh) gradient in reservoir sections is estimated to be equal to 17MPa/km (2.5psi/m). The concluded strike-slip stress regime (SH>Sv>Sh) in the study area is consistent with the compressive regime in the Zagros thrust-fold belt. The present-day stress in the Kangan/Dalan Formation has implications for wellbore stability, lost circulation and well Inflow Performance Relationship (IPR). Wells are more unstable if deviated toward the Sv direction, whereas well productivity and mud loss increase in wells deviated toward SH, which conveys the idea of a strike-slip faulting effect tends to keep the natural fractures open in that direction. copy; 2013 Elsevier B.V.

Hoseinieh S.M.,Pars Oil And Gas Company | Ashrafizadeh F.,Isfahan University of Technology
Ionics | Year: 2013

Deactivation of a RuO2-IrO2-TiO2/Ti electrode was investigated during an accelerated life test in H2SO4 and NaCl solutions using cyclic voltammetry, electrochemical impedance spectroscopy, and SEM/energy dispersive spectroscopy. It is found that the deactivation mechanism depends on electrolyte composition. Intensive Ru/Ir dissolution from the oxide coating and the growth of an insulating TiO2 interlayer are the main deactivation mechanisms of anode in H2SO4 and NaCl solutions, respectively. The results indicate that the determining factor in deactivation mechanism is the morphology factor of oxide anode in different solutions which restrains the diffusion process of electrolyte into coating inner layers. © 2012 Springer-Verlag.

Chamkalani A.,Petroleum University of Technology of Iran | Chamkalani A.,Pars Oil And Gas Company | Mae'soumi A.,Sharif University of Technology | Sameni A.,University of Tehran
Journal of Natural Gas Science and Engineering | Year: 2013

The measurement of PVT properties of natural gas in gas pipelines, gas storage systems, and gas reservoirs require accurate values of compressibility factor. Although equation of state and empirical correlations were utilized to estimate compressibility factor, but the demands for novel, more reliable, and easy-to-use models encouraged the researchers to introduce modern tools such as artificial intelligent systems.This paper introduces Particle swarm optimization (PSO) and Genetic algorithm (GA) as population-based stochastic search algorithms to optimize the weights and biases of networks, and to prevent trapping in local minima. Hence, in this paper, GA and PSO were used to minimize the neural network error function.A database containing 6378 data was employed to develop the models. The proposed models were compared to conventional correlations so that the model predictions indicated a good accuracy for the results in training and testing stages. The results showed that artificial neural networks (ANNs) remarkably overcame the inadequacies of the empirical models where PSO-ANN improved the performance significantly. Additionally, the regression analysis released the efficiency coefficient (R2) of 0.999 which can be considered very promising. © 2013 .

Chamkalani A.,Petroleum University of Technology of Iran | Chamkalani A.,Pars Oil And Gas Company | Zendehboudi S.,University of Waterloo | Chamkalani R.,Shahid Beheshti University | And 3 more authors.
Fluid Phase Equilibria | Year: 2013

The compressibility factor (Z-factor) is considered as a very important parameter in the petroleum industry because of its broad applications in PVT characteristics. In this study, a meta-learning algorithm called Least Square Support Vector Machine (LSSVM) was developed to predict the compressibility factor. In addition, the proposed technique was examined with previous models, exhibiting an R2 and an MSE of 0.999 and 0.000014, respectively. A significant drawback in the conventional LSSVM is the determination of optimal parameters to attain desired output with a reasonable accuracy. To eliminate this problem, the current study introduced coupled simulated annealing (CSA) algorithm to develop a new model, known as CSA-LSSVM. The proposed algorithm included 4756 datasets to validate the effectiveness of the CSA-LSSVM model using statistical criteria. The new technique can be utilized in chemical and petroleum engineering software packages where the most accurate value of Z-factor is required to predict the behavior of real gas, significantly affecting design aspects of equipment involved in gas processing plants. © 2013 Elsevier B.V.

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