Monte Carlo molecular simulation of phase-coexistence for oil production and processing

The Gibbs-NVT ensemble Monte Carlo method is used to simulate the liquid-vapor coexistence diagram and the simulation results of methane agree well with the experimental data in a wide range of temperatures. For systems with two components, the Gibbs-NPT ensemble Monte Carlo method is employed in th...

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Main Authors: Li, J., Sun, S., Calo, Victor
Format: Conference Paper
Published: 2011
Online Access:http://hdl.handle.net/20.500.11937/51368
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author Li, J.
Sun, S.
Calo, Victor
author_facet Li, J.
Sun, S.
Calo, Victor
author_sort Li, J.
building Curtin Institutional Repository
collection Online Access
description The Gibbs-NVT ensemble Monte Carlo method is used to simulate the liquid-vapor coexistence diagram and the simulation results of methane agree well with the experimental data in a wide range of temperatures. For systems with two components, the Gibbs-NPT ensemble Monte Carlo method is employed in the simulation while the mole fraction of each component in each phase is modeled as a Leonard-Jones fluid. As the results of Monte Carlo simulations usually contain huge statistical error, the blocking method is used to estimate the variance of the simulation results. Additionally, in order to improve the simulation efficiency, the step sizes of different trial moves is adjusted automatically so that their acceptance probabilities can approach to the preset values. Copyright 2011, Society of Petroleum Engineers.
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format Conference Paper
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-513682017-05-31T09:13:05Z Monte Carlo molecular simulation of phase-coexistence for oil production and processing Li, J. Sun, S. Calo, Victor The Gibbs-NVT ensemble Monte Carlo method is used to simulate the liquid-vapor coexistence diagram and the simulation results of methane agree well with the experimental data in a wide range of temperatures. For systems with two components, the Gibbs-NPT ensemble Monte Carlo method is employed in the simulation while the mole fraction of each component in each phase is modeled as a Leonard-Jones fluid. As the results of Monte Carlo simulations usually contain huge statistical error, the blocking method is used to estimate the variance of the simulation results. Additionally, in order to improve the simulation efficiency, the step sizes of different trial moves is adjusted automatically so that their acceptance probabilities can approach to the preset values. Copyright 2011, Society of Petroleum Engineers. 2011 Conference Paper http://hdl.handle.net/20.500.11937/51368 restricted
spellingShingle Li, J.
Sun, S.
Calo, Victor
Monte Carlo molecular simulation of phase-coexistence for oil production and processing
title Monte Carlo molecular simulation of phase-coexistence for oil production and processing
title_full Monte Carlo molecular simulation of phase-coexistence for oil production and processing
title_fullStr Monte Carlo molecular simulation of phase-coexistence for oil production and processing
title_full_unstemmed Monte Carlo molecular simulation of phase-coexistence for oil production and processing
title_short Monte Carlo molecular simulation of phase-coexistence for oil production and processing
title_sort monte carlo molecular simulation of phase-coexistence for oil production and processing
url http://hdl.handle.net/20.500.11937/51368