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Scaling analysis of the In-Situ Upgrading of heavy oil and oil shale

handle: 10044/1/45745
The In-Situ Upgrading (ISU) of heavy oil and oil shale is investigated. We develop a mathematical model for the process and identify the full set of dimensionless numbers describing the model. We demonstrate that for a model with nf fluid components (gas and oil), ns solid components and k chemical reactions, the model was represented by 9 + k x (3 + nf + ns - 2) + 8nf + 2ns dimensionless numbers. We calculated a range of values for each dimensionless numbers from a literature study. Then, we perform a sensitivity analysis using Design of Experiments (DOE) and Response Surface Methodology (RSM) to identify the primary parameters controlling the production time and energy efficiency of the process. The Damkohler numbers, quantifying the ratio of chemical reaction rate to heat conduction rate for each reaction, are found to be the most important parameters of the study. They depend mostly on the activation energy of the reactions and of the heaters temperature. The reduced reaction enthalpies are also important parameters and should be evaluated accurately. We show that for the two test cases considered in this paper, the Damkohler numbers needed to be at least 10 for the process to be efficient. We demonstrate the existence of an optimal heater temperature for the process and obtain a correlation that can be used to estimate it using the minimum of the Damkohler numbers of all reactions.
- French Institute for Research in Computer Science and Automation France
- Imperial College London United Kingdom
- Heriot-Watt University United Kingdom
- Institut National Polytechnique de Toulouse France
- University of Edinburgh United Kingdom
Technology, Engineering, Chemical, EXPULSION, 330, Energy & Fuels, 0306 Physical Chemistry (Incl. Structural), Mécanique des fluides, 0904 Chemical Engineering, Energy Engineering and Power Technology, Chemical, In-Situ Upgrading, [SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph], Engineering, Oil shale, Science & Technology, Energy, 660, PYROLYSIS, Organic Chemistry, Heavy oil, Dimensionless numbers, CRACKING, MODEL, Fuel Technology, SIMULATION, [ SPI.MECA.MEFL ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph], Chemical Engineering(all), KEROGEN, GENERATION, 0913 Mechanical Engineering
Technology, Engineering, Chemical, EXPULSION, 330, Energy & Fuels, 0306 Physical Chemistry (Incl. Structural), Mécanique des fluides, 0904 Chemical Engineering, Energy Engineering and Power Technology, Chemical, In-Situ Upgrading, [SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph], Engineering, Oil shale, Science & Technology, Energy, 660, PYROLYSIS, Organic Chemistry, Heavy oil, Dimensionless numbers, CRACKING, MODEL, Fuel Technology, SIMULATION, [ SPI.MECA.MEFL ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph], Chemical Engineering(all), KEROGEN, GENERATION, 0913 Mechanical Engineering
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).30 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 11 download downloads 13 - 11views13downloads
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