Scaling analysis of the In-Situ Upgrading of heavy oil and oil shale
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Published version
Author(s)
Maes, J
Muggeridge, AH
Jackson, MD
Quintard, M
Lapene, A
Type
Journal Article
Abstract
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×(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 Damköhler 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 Damköhler 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 Damköhler numbers of all reactions.
Date Issued
2017-01-31
Date Acceptance
2017-01-19
Citation
FUEL, 2017, 195, pp.299-313
ISSN
0016-2361
Publisher
Elsevier
Start Page
299
End Page
313
Journal / Book Title
FUEL
Volume
195
Copyright Statement
© 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license
(http://creativecommons.org/licenses/by-nc-nd/4.0/).
(http://creativecommons.org/licenses/by-nc-nd/4.0/).
Sponsor
Total S.A
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000395353200033&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
TOTAL FR00005755
Subjects
Science & Technology
Technology
Energy & Fuels
Engineering, Chemical
Engineering
In-Situ Upgrading
Heavy oil
Oil shale
Dimensionless numbers
SIMULATION
CRACKING
GENERATION
PYROLYSIS
EXPULSION
KEROGEN
MODEL
Energy
0904 Chemical Engineering
0913 Mechanical Engineering
0306 Physical Chemistry (Incl. Structural)
Publication Status
Published