@article { author = {}, title = {Table of Content}, journal = {Iranian Journal of Oil and Gas Science and Technology}, volume = {6}, number = {2}, pages = {-}, year = {2017}, publisher = {Petroleum University of Technology}, issn = {2345-2412}, eissn = {2345-2420}, doi = {}, abstract = {}, keywords = {}, url = {https://ijogst.put.ac.ir/article_48369.html}, eprint = {https://ijogst.put.ac.ir/article_48369_c4b51fc18e8aa7634790becf02499b3b.pdf} } @article { author = {Keshavarz, Ahmad and Karim Hashemizadeh, Seyed Mohammad}, title = {Analysis of Hyperspectral Imagery for Oil Spill Detection Using SAM Unmixing Algorithm Techniques}, journal = {Iranian Journal of Oil and Gas Science and Technology}, volume = {6}, number = {2}, pages = {1-16}, year = {2017}, publisher = {Petroleum University of Technology}, issn = {2345-2412}, eissn = {2345-2420}, doi = {10.22050/ijogst.2017.47444}, abstract = {Oil spill is one of major marine environmental challenges. The main impacts of this phenomenon are preventing light transmission into the deep water and oxygen absorption, which can disturb the photosynthesis process of water plants. In this research, we utilize SpecTIR airborne sensor data to extract and classify oils spill for the Gulf of Mexico Deepwater Horizon (DWH) happened in 2010. For this purpose, by using FLAASH algorithm atmospheric correction is first performed. Then, total 360 spectral bands from 183 to 198 and from 255 to 279 have been excluded by applying the atmospheric correction algorithm due to low signal to noise ratio (SNR). After that, bands 1 to 119 have been eliminated for their irrelevancy to extracting oil spill spectral endmembers. In the next step, by using MATLAB hyperspectral toolbox, six spectral endmembers according to the ratio of oil to water have been extracted. Finally, by using extracted endmembers and SAM classification algorithm, the image has been classified into 6 classes. The classes are 100% oil, 80% oil and 20% water, 60% oil and 40% water, 40% oil and 60% water, 20% oil and 80% water, and 100% water. }, keywords = {Oil spill,Hyperspectral Imagery Unmixing Algorithms,hyperspectral toolbox,SpecTir,SAM}, url = {https://ijogst.put.ac.ir/article_47444.html}, eprint = {https://ijogst.put.ac.ir/article_47444_daa6bc5880dc89f60cfd391009b8806f.pdf} } @article { author = {Salimi, Farhad and Ayatollahi, Shahab and Vafaie Seftie, Mohsen}, title = {An Experimental Investigation and Prediction of Asphaltene Deposition during Laminar Flow in the Pipes Using a Heat Transfer Approach}, journal = {Iranian Journal of Oil and Gas Science and Technology}, volume = {6}, number = {2}, pages = {17-32}, year = {2017}, publisher = {Petroleum University of Technology}, issn = {2345-2412}, eissn = {2345-2420}, doi = {10.22050/ijogst.2017.47414}, abstract = {In this study, asphaltene deposition from crude oil has experimentally and theoretically been studied using a test loop and an accurate temperature monitoring during a laminar flow. The effects of oil velocity and surface temperature on the thickness of asphaltene deposition were investigated. The results show that asphaltene deposition thickness increases by increasing surface temperature. As the oil velocity increased, less deposition was noticed in this experimental study. The thermal approach was used to describe the mechanisms involved in this process, and the results of data fitting showed that there was good agreement between the results of the proposed model and the measured asphaltene deposition rates. Moreover, the theoretical study of deposition process showed that the rate of asphaltene deposition was inversely related to velocity, which was proved by the experimental results.}, keywords = {Asphaltene,theoretical model,Deposition Rates,Test Loop,Laminar Flow}, url = {https://ijogst.put.ac.ir/article_47414.html}, eprint = {https://ijogst.put.ac.ir/article_47414_666aa456e351d79fe1fd174cf4245289.pdf} } @article { author = {Talaghat, Mohammad reza and Bahmani, Ahmad Reza}, title = {Sand Production Control in Sandstone Reservoirs Using a Modified Urea-formaldehyde Re}, journal = {Iranian Journal of Oil and Gas Science and Technology}, volume = {6}, number = {2}, pages = {33-45}, year = {2017}, publisher = {Petroleum University of Technology}, issn = {2345-2412}, eissn = {2345-2420}, doi = {10.22050/ijogst.2017.47418}, abstract = {Several techniques have been used for sand production control in sandstone reservoirs.The main objective of this research is to present a suitable resin to be used as a consolidation agent in oil reservoirs. To achieve this purpose, urea-formaldehyde resin, phenol-formaldehyde resin, and modified urea-formaldehyde resin were selected to be studied. Core samples were made by the sand sample provided from the oil fields of southern parts of Iran with an average absolute permeability of 500-600 mD and an average porosity of 15-20% combined with various percentages of each resin. The core samples are tested for permeability, porosity, and compressive strength measurement. The results show that in the consolidation process with resin, modified urea-formaldehyde resin, as a consolidating agent, is more suitable than the other two types of resin. The consolidated sand samples of this resin had a compressive strength between 3100 and 4150 psi, permeability between 980 and 6823 mD, and porosity between 8 and 98%.}, keywords = {Chemical Consolidation,resin,Permeability,porosity,Compressive strength}, url = {https://ijogst.put.ac.ir/article_47418.html}, eprint = {https://ijogst.put.ac.ir/article_47418_328de9d3685a579b4a05c11340deca78.pdf} } @article { author = {Momeni, Kamalodin and Najibi, Hesam Najibi and Sadeghi, Mohammad T.}, title = {An Evaluation of Four Electrolyte Models for the Prediction of Thermodynamic Properties of Aqueous Electrolyte Solutions}, journal = {Iranian Journal of Oil and Gas Science and Technology}, volume = {6}, number = {2}, pages = {46-60}, year = {2017}, publisher = {Petroleum University of Technology}, issn = {2345-2412}, eissn = {2345-2420}, doi = {10.22050/ijogst.2017.47434}, abstract = {In this work, the performance of four electrolyte models for prediction the osmotic and activity coefficients of different aqueous salt solutions at 298 K, atmospheric pressure and in a wide range of concentrations are evaluated. In two of these models, (electrolyte Non-Random Two-Liquid e-NRTL and Mean Spherical Approximation-Non-Random Two-Liquid MSA-NRTL), association between ions of opposite charges for simplification purposes is ignored and in the other two ones, (Associative Mean Spherical Approximation-Non-Random Two-Liquid AMSA-NRTL and Binding Mean Spherical Approximation BiMSA) association and solvation effects are considered. The predictions of these four models for the osmotic and activity coefficients of electrolyte solutions at 298 K and atmospheric pressure are compared with the experimental data reported in the literature. This comparison includes, 28 different aqueous salt solutions including thio-cyanates, perchlorates, nitrates, hydroxides, quaternary ammonium salts and others. The results show, the performance of models that consider association effects are better than others especially for higher salt concentrations. However, the best performance belongs to BiMSA model which has some parameters with physical meaning.}, keywords = {electrolyte models,Osmotic coefficient,Activity coefficient,Thermodynamic properties}, url = {https://ijogst.put.ac.ir/article_47434.html}, eprint = {https://ijogst.put.ac.ir/article_47434_c74ca2c2faef83447806c2c4c3e7c120.pdf} } @article { author = {Alimoradi, Abbas and Borzoupour, Sepideh}, title = {Strategy, Management Accounting Systems, and Performance of Iranian Petrochemical Companies in the Light of Contingency Theory}, journal = {Iranian Journal of Oil and Gas Science and Technology}, volume = {6}, number = {2}, pages = {61-74}, year = {2017}, publisher = {Petroleum University of Technology}, issn = {2345-2412}, eissn = {2345-2420}, doi = {10.22050/ijogst.2017.47426}, abstract = {In the present business atmosphere, an organization should be able to respond to environmental needs occasioned by rapid and dynamic evolution as quickly as possible. It is obvious that such ability is impossible without a proper strategic approach, strategic thinking, and a suitable management accounting system. This study attempts to investigate the relationships between strategy, management accounting systems, and the performance of Iranian petrochemical companies under the framework of contingency theory. It is assumed that matches between organizational strategies and the content variables of organizational structure in controlling environments such as management accounting systems could produce an optimal level of performance. The statistical population of the study is Iranian petrochemical private companies, and the required information has been gathered by questionnaire the internal reliability of which is confirmed by a Cronbach's alpha coefficient of 83.4%. Structural equation modelling with LISREL software has been used for data analysis and hypotheses testing. The results not only confirm the direct association between strategy, management accounting systems, and company performance, but also support the effect of management accounting system as a mediating variable on the relationship between strategy and performance. According to the results, it might be concluded that contingency theory postulates are applicable to the Iranian petrochemical industry, and this conclusion may shed some light on the way in which these companies are managed and controlled.}, keywords = {strategy,performance,Contingency Theory,Management Accounting Systems,Structural Equation Modelling}, url = {https://ijogst.put.ac.ir/article_47426.html}, eprint = {https://ijogst.put.ac.ir/article_47426_4e06b75d973237763a979636f0bc279a.pdf} } @article { author = {Shabani, Mohammad Hossein and Jafari, Arezou and Mousavi, Seyed Mohammad}, title = {A Pore Scale Evaluation of Produced Biosurfactants for Ex-situ Enhanced Oil Recovery}, journal = {Iranian Journal of Oil and Gas Science and Technology}, volume = {6}, number = {2}, pages = {75-89}, year = {2017}, publisher = {Petroleum University of Technology}, issn = {2345-2412}, eissn = {2345-2420}, doi = {10.22050/ijogst.2017.47443}, abstract = {Microbial enhanced oil recovery (MEOR) is an economical method used to improve the oil recovery from reservoirs. In the MEOR techniques, by applying different microorganisms, a variety of products such as bioacid, biogas, biosurfactant, and biopolymer are generated, among which biosurfactant, one of the important metabolites, is produced by bacteria. It is worthy to note that bacteria are suitable candidates to enhance oil recovery due to their small size, rapid growth, capability of tolerating reservoir conditions, and production of different metabolites. Therefore, in this research, two bacteria, namely Enterobacter cloacae subsp with PTCC: 1798 isolated from oil-contaminated soil in south of Iran and Acinetobacter Calcoaceticus with PTCC: 1318, are used to produce biosurfactants. In order to evaluate the performance of generated biosurfactants, ex-situ flooding tests were performed in a glass micromodel to visualize the oil displacement and fluid front flow. In addition, water flooding is performed as a common EOR method for the better investigation of the produced biosurfactants. The results represented that injecting Enterobacter with a salinity concentration of 6% and Acinetobacter with a salinity concentration of 3% respectively increases the oil recovery factor by 27 and 35% compared to water flooding. In other words, the highest reduction in interfacial tension is achieved by the biosurfactant produced from Enterobacter and Acinetobacter at 6% and 3% salinity respectively, and the sequent changes in the interfacial tension are from 45 to 7 and 45 to 4 mN/m.}, keywords = {Biosurfactant,Microbial enhanced oil recovery,Micromodel,Ex-Situ,Interfacial Tension}, url = {https://ijogst.put.ac.ir/article_47443.html}, eprint = {https://ijogst.put.ac.ir/article_47443_c9272469e81eb314c13310275e61f508.pdf} } @article { author = {}, title = {Persian Abstract}, journal = {Iranian Journal of Oil and Gas Science and Technology}, volume = {6}, number = {2}, pages = {90-95}, year = {2017}, publisher = {Petroleum University of Technology}, issn = {2345-2412}, eissn = {2345-2420}, doi = {}, abstract = {}, keywords = {}, url = {https://ijogst.put.ac.ir/article_55663.html}, eprint = {https://ijogst.put.ac.ir/article_55663_73be4c5e710c7b4973bc66c2dc35775e.pdf} }