Pars Oil And Gas Company
Tehran, Iran

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

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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.

Hatampour A.,Pars Oil And Gas Company | Ghiasi-Freez J.,Iranian Central Oil Fields Company
Petroleum Science and Technology | Year: 2013

Sonic wave velocities, including compressional, shear, and Stoneley, are functional and practical parameters for various branches of reservoir characterization. In the last few years, several tools such as the dipole shear sonic imager (DSI) were introduced for measuring sonic wave velocities. Most of these instruments are expensive and drilling companies do not run them in all wells of a field because of economical restrictions. In this study, an accurate, intelligent, and indirect method was presented for prediction of sonic wave velocities, which are directly obtained from dipole shear sonic log, utilizing conventional well log data and fuzzy logic technique. Furthermore, the proposed methodology was applied on a carbonate reservoir of Iran. The results of the case study demonstrated the capabilities of fuzzy logic for estimation of sonic wave velocities, where DSI may not be run. The MSEs of the predicted Vp, Vs, and Vst in the test data calculated 1.47 (US/F), 4.96 (US/F), and 2.219 (US/F), respectively, which correspond to the R 2 values of 91.8%, 89.3%, and 90.4%, respectively. © 2013 Copyright Taylor and Francis Group, LLC.

Chamkalani A.,Petroleum University of Technology of Iran | Chamkalani A.,Pars Oil And Gas Company | Amani M.,Texas A&M University at Qatar | Kiani M.A.,Sharif University of Technology | Chamkalani R.,Power and Water University of Technology, Tehran
Fluid Phase Equilibria | Year: 2013

Due to problems followed by asphaltene deposition, which cause many remedial processes and costs, it seemed necessary to develop equations for determining asphaltene precipitation quantitatively or qualitatively. In this study a new scaling equation as a function of temperature, molecular weight, and dilution ratio (solvent) has been developed. This equation can be used to determine the weight percent of precipitated asphaltene in the presence of different precipitants (solvents). The proposed methodology utilizes least square support vector machines/regression (LSSVM/LSSVR) to perform nonlinear modeling. This paper proposes a new feature selection mechanism based on coupled simulated annealing (CSA) optimization in an attempt to tune the optimal parameters. CSA-LSSVM has the good capability of characterizing the nonlinear behavior. The performance of the proposed LSSVM algorithm is highly satisfactory and demonstrated by residuals and statistical indicator and was compared with previous works. The results showed its superiority to previous and highly dependent performance. © 2012 Elsevier B.V.

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.

Rafiee-Taghanaki S.,Petroleum University of Technology of Iran | Arabloo M.,Sharif University of Technology | Chamkalani A.,Petroleum University of Technology of Iran | Chamkalani A.,Pars Oil And Gas Company | And 3 more authors.
Fluid Phase Equilibria | Year: 2013

Through this work, a novel mathematical-based approach was proposed to develop reliable models for calculation of PVT properties of crude oils at various reservoir conditions. For this purpose, a new soft computing approach namely Least Square Support Vector Machine (LSSVM) modeling optimized with Coupled Simulated Annealing (CSA) optimization technique was implemented. The constructed models are evaluated by carrying out extensive experimental data reported in open literature. Results obtained by the proposed models were compared with the corresponding experimental values. Moreover, in-depth comparative studies have been carried out between these models and all other predictive models. The results indicate that the proposed models are more robust, reliable and efficient than existing techniques for prediction of PVT properties. Results from present research show that implementation of CSA-LSSVM in crude oil PVT calculations can lead to more accurate and reliable estimation of reservoir oil PVT properties. © 2013 Elsevier B.V.

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 .

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.

Mardani A.,Petropars Ltd | Rezaee R.,Curtin University Australia | Eskandar A.,Pars Oil And Gas Company
SPE Reservoir Evaluation and Engineering | Year: 2013

An integrated and quantitative approach is taken here to the Permo-Triassic Kangan/Dalan carbonate formation. We apply pore-network characterization to the problem of the classification of these complex carbonate gas-reservoir rocks. We start with the useful and convenient nuclear-magnetic-resonance (NMR) data on 28 samples to define NMR facies (NMRF). The NMRF group ing is performed with both the relaxivity constant (p2) and the specific-surface-volume SGV data. Seven NMRF have been defined with a combination of core/log NMR data, petrographic image analysis, and mercury-injection examinations for two wells. The advantage of evaluation of the pore spaces rather than grain properties is to discover trends that are not apparent when one uses a conventional sedimentological facies definition. Lithology-independent NMRF exhibit properties that are associated with pore geometry. This should have special importance for the formation evaluation of carbonates. Copyright © 2013 Society of Petroleum Engineers.

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.

Hatampour A.,Pars Oil And Gas Company
Petroleum Science and Technology | Year: 2014

The author discusses the hydrocarbon potential of Pabdeh formation in Ziluee oilfield, in southwest Iran. The research was focused on characterization of this formation based on Rock-Eval (RE) pyrolysis, which is an effective instrument for analyzing probable source rock. Various diagrams were employed for interpreting the raw outputs of RE. The results revealed that kerogen type II and III are mainly distributed in understudied cuttings; therefore, Pabdeh can produce oil and gas in Ziluee oilfield, while its genetic potential is fair to good and maturation level is high enough. Based on RE data and lithological studies, Pabdeh was divided into three important zones, A, B, and C. Zone B is the most effective zone for producing oil, whereas zones A and C mainly produced gas in the proposed oilfield. Jones diagram showed that different intervals of this formation were not deposited in a singular environment. Some intervals belonged to a reducing lacustrine marine and some of them deposited in terrigenous oxidizing condition. Finally, the effect of mineral matrix and amounts of inert carbon in the samples was calculated. The small value of mineral matrix effect indicates that small amount of hydrocarbon was absorbed by minerals during pyrolysis. In addition, amount of inert carbon is negligible in studied samples of Pabdeh formation. Copyright © 2014 Taylor & Francis Group, LLC.

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