CO2 capture and storage modelling for enhanced gas recovery and environmental purposes

Numerical simulations of CO2 injection for enhanced gas recovery (EGR) and storage are investigated using the 'Tempest' commercial reservoir simulator; with experimentally data produced (by Clean Gas Technology Australia) input data. In the oil and gas industry, the CO2-EGR policy has beco...

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Main Authors: Khan, C., Amin, R., Madden, Gary
Format: Conference Paper
Published: 2012
Online Access:http://hdl.handle.net/20.500.11937/22548
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author Khan, C.
Amin, R.
Madden, Gary
author_facet Khan, C.
Amin, R.
Madden, Gary
author_sort Khan, C.
building Curtin Institutional Repository
collection Online Access
description Numerical simulations of CO2 injection for enhanced gas recovery (EGR) and storage are investigated using the 'Tempest' commercial reservoir simulator; with experimentally data produced (by Clean Gas Technology Australia) input data. In the oil and gas industry, the CO2-EGR policy has become attractive because it maintains the use of fossil fuels while reducing the CO2 concentration in the atmosphere. Accordingly, the effect of gas miscibility is studied for the developed reservoir model in terms of methane contamination by CO2 to find the optimum miscibility parameters. Several scenarios are considered, including continuous primary CO2 injection into the gas reservoir prior to primary depletion. CO2 injection scenarios at deeper reservoir levels are considered as they enable sweep efficiency. The main goal of the analysis is to maximise methane production, while simultaneously storing the injected CO2. In addition, various CO2 costs involved in the CO2-EGR and storage are investigated. This investigation is undertaken to determine whether the technique is feasible, that is, whether the CO2 content in the production and preparation stages is economically viable. © 2012 WIT Press.
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spelling curtin-20.500.11937-225482017-09-13T13:55:44Z CO2 capture and storage modelling for enhanced gas recovery and environmental purposes Khan, C. Amin, R. Madden, Gary Numerical simulations of CO2 injection for enhanced gas recovery (EGR) and storage are investigated using the 'Tempest' commercial reservoir simulator; with experimentally data produced (by Clean Gas Technology Australia) input data. In the oil and gas industry, the CO2-EGR policy has become attractive because it maintains the use of fossil fuels while reducing the CO2 concentration in the atmosphere. Accordingly, the effect of gas miscibility is studied for the developed reservoir model in terms of methane contamination by CO2 to find the optimum miscibility parameters. Several scenarios are considered, including continuous primary CO2 injection into the gas reservoir prior to primary depletion. CO2 injection scenarios at deeper reservoir levels are considered as they enable sweep efficiency. The main goal of the analysis is to maximise methane production, while simultaneously storing the injected CO2. In addition, various CO2 costs involved in the CO2-EGR and storage are investigated. This investigation is undertaken to determine whether the technique is feasible, that is, whether the CO2 content in the production and preparation stages is economically viable. © 2012 WIT Press. 2012 Conference Paper http://hdl.handle.net/20.500.11937/22548 10.2495/PMR120051 fulltext
spellingShingle Khan, C.
Amin, R.
Madden, Gary
CO2 capture and storage modelling for enhanced gas recovery and environmental purposes
title CO2 capture and storage modelling for enhanced gas recovery and environmental purposes
title_full CO2 capture and storage modelling for enhanced gas recovery and environmental purposes
title_fullStr CO2 capture and storage modelling for enhanced gas recovery and environmental purposes
title_full_unstemmed CO2 capture and storage modelling for enhanced gas recovery and environmental purposes
title_short CO2 capture and storage modelling for enhanced gas recovery and environmental purposes
title_sort co2 capture and storage modelling for enhanced gas recovery and environmental purposes
url http://hdl.handle.net/20.500.11937/22548