Reduced flash calculations with temperature dependent binary interaction coefficients

2013 ◽  
Vol 354 ◽  
pp. 166-176 ◽  
Author(s):  
Vassilis Gaganis
Keyword(s):  
Binary Interaction ◽  
Temperature Dependent ◽  
Interaction Coefficients

scholarly journals Predicting sulfur solubility in hydrogen sulfide, carbon dioxide, and methane with an improved thermodynamic model

RSC Advances ◽  
2018 ◽  
Vol 8 (29) ◽  
pp. 16069-16081 ◽  
Author(s):  
Changjun Li ◽  
Gang Liu ◽  
Yang Peng
Keyword(s):  
Carbon Dioxide ◽  
Hydrogen Sulfide ◽  
Thermodynamic Model ◽  
Binary Interaction ◽  
Temperature Dependent ◽  
Interaction Coefficients ◽  
Sulfur Solubility

The binary interaction coefficients between sulfur and H2S, CO2or CH4are not constant, but temperature dependent. Three-parameter temperature-dependent equations for the binary interaction coefficients between sulfur and solvents are proposed.

scholarly journals Predicting Pyrolysis Products of PE, PP, and PET Using NRTL Activity Coefficient Model

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Seyed Mousa FakhrHoseini ◽  
Majid Dastanian
Keyword(s):  
Activity Coefficient ◽  
Oil And Gas ◽  
Liquid Product ◽  
Low Density Polyethylene ◽  
Binary Interaction ◽  
Low Density ◽  
Pyrolysis Process ◽  
Interaction Coefficients ◽  
Pyrolysis Products ◽  
Activity Coefficient Model

Using thermodynamic models is a desired method for predicting an equilibrium when occurring in a system. If a thermodynamic model can predict an equilibrium condition in a pyrolysis, for a new way will be open for scientists in predicting equilibrium in a reaction without need to kinetic models. In this work, low-density polyethylene, polypropylene, and polyethylene terephthalate were used instead of feed of pyrolysis process. The process was maintained at 500°C with 5 different temperature raising ratios 6, 8, 10, 12, and 14. Then the process was modeled thermodynamically using NRTL activity coefficient model. Using this model, the binary interaction coefficients were investigated for the system of “char, oil, and gas.” Results showed that polyethylene and polypropylene produced the maximum liquid product. Calculated RMSD objective function was 0.0157; that it is acceptable for this process.

Estimating Swelling in Oil-Based Mud due to Gas Kick Dissolution

2020 ◽  
Author(s):  
Kaushik Manikonda ◽  
Abu Rashid Hasan ◽  
Omer Kaldirim ◽  
Nazmul Rahmani ◽  
Mohammad Azizur Rahman
Keyword(s):  
Liquid Phase ◽  
Natural Gas ◽  
Drilling Fluid ◽  
Binary Interaction ◽  
Drilling Fluids ◽  
Gas Solubility ◽  
Interaction Coefficients ◽  
Volume Factor ◽  
Cubic Form ◽  
Gas Kick

Abstract Gas kick is an ever-present hazard whose importance is magnified for offshore drilling situations. Modeling gas kick is a complex problem that requires an understanding of the relevant fluid dynamics as well as the solubility of natural gas in oil-based muds (OBM). Drilling fluid swelling due to natural gas solubility in OBM significantly affects the extent of pit gain — one of the primary indicators of a kick in progress. This paper specifically addresses the issue of drilling fluid swelling from gas dissolution in OBM. Drilling fluid swelling due to gas dissolution is generally expressed the same way as oil swelling due to dissolved gas, by the volume factor, Bo. Many correlations for estimating Bo as a function of temperatures and pressures are available. We have developed a rigorous thermodynamic approach for estimating Bo. Our approach uses the Peng-Robison (1976) equation of state (EOS), van der Waals mixing rules, and binary interaction coefficients appropriate for drilling fluids to account for gas solubility. Solving the cubic form of the Peng-Robinson EOS yields a z-factor for the liquid phase of the mixture. The model uses this z-factor to estimate the liquid-phase volume of dissolved methane and, consequently, Bo. This paper validates the results of estimated Bo from this method with volume factor calculations obtained from Aspen HYSYS. Finally, this paper also presents a section where the methane mole fraction data at different P&T conditions, obtained from HYSYS simulations, is used to validate the solubility model previously developed by Manikonda et al. (2019).

Thermodynamics of ternary mixtures of non-electrolytes: excess volumes

1983 ◽  
Vol 61 (10) ◽  
pp. 2321-2328 ◽  
Author(s):  
Prem P. Singh ◽  
Vinod K. Sharma
Keyword(s):  
Graph Theory ◽  
Excess Volumes ◽  
Ternary Mixtures ◽  
Binary Interaction ◽  
Interaction Coefficients ◽  
Text Data ◽  
Graph Theoretical Approach ◽  
Mathematical Discipline ◽  
Experimental Values ◽  
Molar Excess Volumes

Molar excess volumes, [Formula: see text], of some (i + j + k) ternary mixtures of non-electrolytes have been determined dilatometrically at 298.15 and 308.15 K and the same have been analysed in terms of (a) Lacombe and Sanchez theory and (b) an approach based on the mathematical discipline of graph theory utilizing information on the (i + j), (j + k), and (k + i) binary mixtures alone. It has been observed that the [Formula: see text] data predicted by the graph theoretical approach employing the graph theoretical binary interaction coefficients αij, αjk, and αki compare better with the corresponding experimental values than the [Formula: see text] values predicted by Lacombe and Sanchez theory utilizing Lacombe and Sanchez's binary interaction coefficients χij, χjk, and χki of the (i + j), (j + k), and (k + i) mixtures. The [Formula: see text] data have also been utilized to extract, via the Mayer–McMillan approach, self and cross volume interaction coefficients Vjj, Vkk, Vjk. Vjjk, and Vjkk and the Vjk values have been utilized to study molecular interactions between the jth and the kth components in the presence of the ith component of these (I + j + k) mixtures.

Sign in / Sign up

Export Citation Format

Share Document