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

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• 作者：Alexandre Lapene ; G茅rald Debenest ; Michel Quintard ; Louis M. Castanier ; Margot G. Gerritsen ; Anthony R. Kovscek
• 刊名：Energy & Fuels
• 出版年：2015
• 出版时间：February 19, 2015
• 年：2015
• 卷：29
• 期：2
• 页码：1119-1129
• 全文大小：531K
• ISSN：1520-5029

文摘

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 oil and heavy oil. The viscosity of the remaining crude oil is reduced by the significant heat generated from combustion reactions, which contributes to enhanced oil recovery. In the first paper in this series [Lapene et al., Energy Fuels 2011, 25, 4886鈥?895], 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, 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鈥攏amely, CO₂ and O₂ concentrations鈥攁nd a multiobjective approach to obtain kinetic parameters for the different combustion reactions. Finally, we obtain a set of possible kinetic schemes, accouting for all mechanisms, such as reactions, phase changes, and transport processes.