Direct incorporation of laboratory data for simulation of in-situ combustion dynamics
Abstract/Contents
- Abstract
- In-situ combustion, ISC, is a thermal enhanced oil recovery technique often numerically modeled using a set of non-linear transport equations, combined with Arrhenius rate laws to describe the reaction kinetics of crude oil oxidation. The Arrhenius rate reaction equations are laborious to construct, dependent on the researcher, and computationally expensive to integrate. The greater the number of reactions defined, the larger the number of parameters that need to be specified. As a result, the ISC numerical model for any given oil is a non-unique complex model that can be highly multivariate. This work presents a nonArrhenius technique for predicting the reaction dynamics during ISC independent of the heating rate. Vital laboratory data from ramped temperature oxidation kinetic cell experiments, depicting the combustion chemistry, are directly used to account for the appearance and disappearance of reacting species. The extent of the global reaction taking place is mapped uniquely to an overall reaction rate at any given temperature. This mapping is tabulated and graphed based on the isoconversional principle for each reacting species. The tables are then incorporated into the mass and energy conservation system of equations for predicting the underlying combustion kinetics. The robustness of this method is compared to lab scale results from a conventional thermal simulator using Arrhenius based reaction rate laws and laboratory experiments. This kinetics prediction method proposed for ISC processes is beneficial because it predicts the rate at which oil and oxygen are consumed and the production of the carbon oxides in a timely and expedient manner. The turnaround time from experimental data acquisition to predictive model development is reduced. The number of free parameters required to match experimental results is also minimal because the tabulated kinetics data are unique and directly enforced.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2018; ©2018 |
| Publication date | 2018; 2018 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Ogunbanwo, Olufolake |
|---|---|
| Degree supervisor | Gerritsen, Margot (Margot G.) |
| Degree supervisor | Kovscek, Anthony R. (Anthony Robert) |
| Thesis advisor | Gerritsen, Margot (Margot G.) |
| Thesis advisor | Kovscek, Anthony R. (Anthony Robert) |
| Thesis advisor | Castanier, Louis M |
| Degree committee member | Castanier, Louis M |
| Associated with | Stanford University, Department of Energy Resources Engineering. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Olufolake Ogunbanwo. |
|---|---|
| Note | Submitted to the Department of Energy Resources Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2018. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2018 by Olufolake Olubusayo Ogunbanwo
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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