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    On the isobaric specific heat capacity of natural gas

    , Article Fluid Phase Equilibria ; Vol. 384, issue , 2014 , pp. 16-24 ; ISSN: 03783812 Jarrahian, A ; Karami, H. R ; Heidaryan, E ; Sharif University of Technology
    Abstract
    A colorimeter equipped with a gas booster in conjunction with a PVT cell was used to measure the heat capacity of natural gas with different amounts of impurities. Based on new experimental and literature data, a general investigation of the isobaric specific heat capacity was carried out using the Jarrahian-Heidaryan equation of state (J-H-EOS). A model was obtained that is valid in wide ranges of pressures (0.1-40. MPa) and temperatures (250-414. K). The arithmetic average of the model's absolute error is acceptable in engineering calculations and has superiority over other methods in its class  

    A simple correlation to estimate natural gas thermal conductivity

    , Article Journal of Natural Gas Science and Engineering ; Volume 18 , May , 2014 , Pages 446-450 ; ISSN: 18755100 Jarrahian, A ; Heidaryan, E ; Sharif University of Technology
    Abstract
    A general investigation of the thermal conductivity 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 731 data points of 42 binary mixtures in wide ranges of pressures (0.1-300MPa), temperatures (220-425K) and specific gravities (0.626-1.434). Correction terms for non-hydrocarbons of carbon dioxide and nitrogen were up to 87.8 and 82.8 of mole percent, respectively. The arithmetic average of the model's absolute error was found to be 5.69%, which is acceptable in engineering calculations  

    Natural gas viscosity estimation using density based models

    , Article Canadian Journal of Chemical Engineering ; Volume 91, Issue 6 , JUL , 2013 , Pages 1183-1189 ; 00084034 (ISSN) Heidaryan, E ; Jarrahian, A ; Sharif University of Technology
    2013
    Abstract
    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  

    Towards a calculus for nondeterministic schemas in Z

    , Article International Journal of Software Engineering and Knowledge Engineering ; Volume 22, Issue 6 , September , 2012 , Pages 839-865 ; 02181940 (ISSN) Haghighi, H ; Mirian Hosseinabadi, S. H ; Sharif University of Technology
    World Scientific  2012
    Abstract
    In our previous work, we presented a Z-based formalism, called NZ, by which one can explicitly specify bounded, unbounded, erratic, angelic, demonic, loose, strict, singular, and plural nondeterminism. The NZ notation is mainly based on a new notion of operation schemas, called multi-schema. Since the operations of the Z schema calculus do not work on multi-schemas anymore, in this paper we augment NZ with a new set of schema calculus operations that can be applied on multi-schemas as well as ordinary operation schemas. To demonstrate the usability of the resulting formalism, we show how this formalism can assist to model game-like situations and concurrent systems as two well-known classes... 

    Prediction of sour gas compressibility factor using an intelligent approach

    , Article Fuel Processing Technology ; Volume 116 , 2013 , Pages 209-216 ; 03783820 (ISSN) Kamari, A ; Hemmati Sarapardeh, A ; Mirabbasi, S. M ; Nikookar, M ; Mohammadi, A. H ; Sharif University of Technology
    2013
    Abstract
    Compressibility factor (z-factor) values of natural gasses are essential in most petroleum and chemical engineering calculations. The most common sources of z-factor values are laboratory experiments, empirical correlations and equations of state methods. Necessity arises when there is no available experimental data for the required composition, pressure and temperature conditions. Introduced here is a technique to predict z-factor values of natural gasses, sour reservoir gasses and pure substances. In this communication, a novel mathematical-based approach was proposed to develop reliable model for prediction of compressibility factor of sour and natural gas. A robust soft computing...