E. Tchambak
Investigation of CO2 sequestration during cold heavy oil production.
Tchambak, E.; Oyeneyin, B.; Oluyemi, G.
Abstract
CO2 sequestration during cold heavy oil production using captured carbon dioxide was investigated using REVEAL of Petroleum Experts. The results indicated that the CO2 release was influenced by the production phases. The prediction showed high CO2 retention in the first few years post start-up, followed by a gradual decline toward 16.5% post peak production. The recovery rate was strongly influenced by the reservoir characteristics, such as fluid properties, permeability, aquifer, and well completion. Horizontal wells provided better performance than vertical wells. The CO2 utilization and retention per barrel of heavy oil increased as the CO2 injection pressure increased.
Citation
TCHAMBAK, E., OYENEYIN, B. and OLUYEMI, G. 2013. Investigation of CO2 sequestration during cold heavy oil production. Energy sources, part A: recovery, utilization and environmental effects [online], 35(12), pages 1174-1184. Available from: https://doi.org/10.1080/15567036.2010.520068
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 26, 2010 |
Online Publication Date | May 3, 2013 |
Publication Date | Jun 30, 2013 |
Deposit Date | Sep 20, 2016 |
Publicly Available Date | Sep 20, 2016 |
Journal | Energy sources, part A: recovery, utilization and environmental effects |
Print ISSN | 1556-7036 |
Electronic ISSN | 1556-7230 |
Publisher | Taylor and Francis |
Peer Reviewed | Peer Reviewed |
Volume | 35 |
Issue | 12 |
Pages | 1174-1184 |
DOI | https://doi.org/10.1080/15567036.2010.520068 |
Keywords | CO2 EOR; Cold heavy oil production; CO2 sequestration; CO2 utilisation; Well completion |
Public URL | http://hdl.handle.net/10059/1791 |
Contract Date | Sep 20, 2016 |
Files
TCHAMBAK 2013 Investigation of CO2 sequestration
(1.1 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
Transport of nanoparticles in porous media and associated environmental impact: a review.
(2024)
Journal Article
An artificial lift selection approach using machine learning: a case study in Sudan.
(2023)
Journal Article
Sand production due to chemical-rock interaction: a review.
(2022)
Journal Article
Downloadable Citations
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search