Study of Monte Carlo Simulation Method for Methane Phase Diagram Prediction using Two Different Potential Models
Lennard-Jones (L-J) and Buckingham exponential-6 (exp-6) potential models were used to produce isotherms for methane at temperatures below and above critical one. Molecular simulation approach, particularly Monte Carlo simulations, were employed to create these isotherms working with both canonical...
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Online Access: | Kadoura, A. S. (2011). Study of Monte Carlo Simulation Method for Methane Phase Diagram Prediction using Two Different Potential Models. KAUST Research Repository. https://doi.org/10.25781/KAUST-1832I http://hdl.handle.net/10754/209412 |
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ndltd-kaust.edu.sa-oai-repository.kaust.edu.sa-10754-2094122021-09-15T05:06:42Z Study of Monte Carlo Simulation Method for Methane Phase Diagram Prediction using Two Different Potential Models Kadoura, Ahmad Salim Sun, Shuyu Physical Science and Engineering (PSE) Division Lai, Zhiping Peinemann, Klaus-Viktor Lennard-Jones (L-J) and Buckingham exponential-6 (exp-6) potential models were used to produce isotherms for methane at temperatures below and above critical one. Molecular simulation approach, particularly Monte Carlo simulations, were employed to create these isotherms working with both canonical and Gibbs ensembles. Experiments in canonical ensemble with each model were conducted to estimate pressures at a range of temperatures above methane critical temperature. Results were collected and compared to experimental data existing in literature; both models showed an elegant agreement with the experimental data. In parallel, experiments below critical temperature were run in Gibbs ensemble using L-J model only. Upon comparing results with experimental ones, a good fit was obtained with small deviations. The work was further developed by adding some statistical studies in order to achieve better understanding and interpretation to the estimated quantities by the simulation. Methane phase diagrams were successfully reproduced by an efficient molecular simulation technique with different potential models. This relatively simple demonstration shows how powerful molecular simulation methods could be, hence further applications on more complicated systems are considered. Prediction of phase behavior of elemental sulfur in sour natural gases has been an interesting and challenging field in oil and gas industry. Determination of elemental sulfur solubility conditions helps avoiding all kinds of problems caused by its dissolution in gas production and transportation processes. For this purpose, further enhancement to the methods used is to be considered in order to successfully simulate elemental sulfur phase behavior in sour natural gases mixtures. 2012-02-04T08:42:01Z 2012-02-04T08:42:01Z 2011-06-06 Thesis Kadoura, A. S. (2011). Study of Monte Carlo Simulation Method for Methane Phase Diagram Prediction using Two Different Potential Models. KAUST Research Repository. https://doi.org/10.25781/KAUST-1832I 10.25781/KAUST-1832I http://hdl.handle.net/10754/209412 en |
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en |
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description |
Lennard-Jones (L-J) and Buckingham exponential-6 (exp-6) potential models were used
to produce isotherms for methane at temperatures below and above critical one.
Molecular simulation approach, particularly Monte Carlo simulations, were employed to
create these isotherms working with both canonical and Gibbs ensembles. Experiments
in canonical ensemble with each model were conducted to estimate pressures at a
range of temperatures above methane critical temperature. Results were collected and
compared to experimental data existing in literature; both models showed an elegant
agreement with the experimental data. In parallel, experiments below critical
temperature were run in Gibbs ensemble using L-J model only. Upon comparing results
with experimental ones, a good fit was obtained with small deviations. The work was
further developed by adding some statistical studies in order to achieve better
understanding and interpretation to the estimated quantities by the simulation.
Methane phase diagrams were successfully reproduced by an efficient molecular
simulation technique with different potential models. This relatively simple
demonstration shows how powerful molecular simulation methods could be, hence
further applications on more complicated systems are considered. Prediction of phase behavior of elemental sulfur in sour natural gases has been an interesting and
challenging field in oil and gas industry. Determination of elemental sulfur solubility
conditions helps avoiding all kinds of problems caused by its dissolution in gas
production and transportation processes. For this purpose, further enhancement to the
methods used is to be considered in order to successfully simulate elemental sulfur
phase behavior in sour natural gases mixtures. |
author2 |
Sun, Shuyu |
author_facet |
Sun, Shuyu Kadoura, Ahmad Salim |
author |
Kadoura, Ahmad Salim |
spellingShingle |
Kadoura, Ahmad Salim Study of Monte Carlo Simulation Method for Methane Phase Diagram Prediction using Two Different Potential Models |
author_sort |
Kadoura, Ahmad Salim |
title |
Study of Monte Carlo Simulation Method for Methane Phase Diagram Prediction using Two Different Potential Models |
title_short |
Study of Monte Carlo Simulation Method for Methane Phase Diagram Prediction using Two Different Potential Models |
title_full |
Study of Monte Carlo Simulation Method for Methane Phase Diagram Prediction using Two Different Potential Models |
title_fullStr |
Study of Monte Carlo Simulation Method for Methane Phase Diagram Prediction using Two Different Potential Models |
title_full_unstemmed |
Study of Monte Carlo Simulation Method for Methane Phase Diagram Prediction using Two Different Potential Models |
title_sort |
study of monte carlo simulation method for methane phase diagram prediction using two different potential models |
publishDate |
2012 |
url |
Kadoura, A. S. (2011). Study of Monte Carlo Simulation Method for Methane Phase Diagram Prediction using Two Different Potential Models. KAUST Research Repository. https://doi.org/10.25781/KAUST-1832I http://hdl.handle.net/10754/209412 |
work_keys_str_mv |
AT kadouraahmadsalim studyofmontecarlosimulationmethodformethanephasediagrampredictionusingtwodifferentpotentialmodels |
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1719480895609503744 |