OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Kinetics Oxidation of Heavy Oil. 2. Application of Genetic Algorithm for Evaluation of Kinetic Parameters

Lapene, Alexandre and Debenest, Gérald and Quintard, Michel and Castanier, Louis M. and Gerritsen, Margot G. and Kovscek, Anthony R. Kinetics Oxidation of Heavy Oil. 2. Application of Genetic Algorithm for Evaluation of Kinetic Parameters. (2015) Energy & Fuels, 29 (2). 1119-1129. ISSN 0887-0624

[img]
Preview
(Document in English)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
557kB

Official URL: http://dx.doi.org/10.1021/ef501392k

Abstract

In-situ combustion (ISC) is the process of injecting air into oil reservoirs to oxidize part of the crude-oil and has been utilized for both light and heavy oil. The viscosity of the remaining crude-oil is reduced by the significant heat generated from combustion reactions, that contributes to enhanced oil recovery. In [give citation full out], we developed a new method to interpret Ramped Temperature Oxidation (RTO) experiments using a reactor model based on a compositional and full equation of state approach. In this work, we use this RTO reactor model coupled with an optimization tool in order to determine the optimal kinetic parameters for an extra heavy oil reservoir. Kinetic parameters are commonly determined using analytical methods and limited data. Typically only one type of observational data, for example oxygen consumption, is used from one experiment. Here, we use two series of experiments data, namely CO2 and O2 concentrations and a multi objective approach to obtain kinetic parameters for the different combustion reactions. We obtain finally a set of possible kinetic schemes, accouting for all mechanisms like reactions, phase changes and transport processes.

Item Type:Article
Additional Information:Thanks to ACS editor. The original publication is available at http://pubs.acs.org/
HAL Id:hal-01130138
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Other partners > Stanford University (USA)
Laboratory name:
Statistics:download
Deposited On:11 Mar 2015 11:09

Repository Staff Only: item control page