Applying Carbon Tax Within CO2 Utilization Networks Including Enhanced Oil Recovery Operations in Qatar
Carbon capture and storage (CCS) is a promising and efficient techniques for carbon dioxide (CO2) emission reduction. Combining CCS with enhanced oil recovery (EOR) processes is a very attractive method for carbon capture and utilisation (CCU). These operations enable CO2 emissions to be reduced through geological sequestration, whilst generating additional revenue from enhanced oil production due to CO2 re-injection via EOR. When numerous oil reservoirs are involved, it is vital to allocate available CO2 supplies and schedule EOR operations for these reservoirs at suitable timings. As a result, CO2 both allocation and scheduling are crucial for maximising the economic benefits of EOR operations. As such, this study introduces a resource trade scheme for CO2 integration and utilisation within the state Qatar, where a linear programming (LP) model is developed to address CO2 allocation and scheduling based on environmental and economic objectives. The model considers a single CO2source (Qatar Gas) within an multi sink scenario which includes several sinks within an industrial setting (QAFCO, QAFAC, PEARL GTL, ORYX GTL, Dukhan Field Well (EOR)). Three scenarios are considered to allocate CO2 to different sinks (including EOR) to obtain the optimal solution for each scenario. The outcome of scenario 1 and 2 demonstrates that the optimal solution is to utilise 15Mt/y of carbon dioxide, which results in an annual profit varying from 3.40 to 6.96 billion dollars and 0.73 and 5.86 billion dollars respectively. The maximum CO2 utilisation occurs at Dukhan Field Well (EOR), which has a utilisation rate of 60%- 69%. Scenario 3 is implemented based on scenario 1 to further improve the model; where the profit increased annually, and the model became more sustainable with a profit ranging from 3.40 to 10.1 billion dollars. The percent of CO2 allocation/utilisation of each sink in scenario 1 (without tax) and scenario 2 (with tax) are almost the same.
History
Language
- English
Publication Year
- 2022
License statement
© The author. The author has granted HBKU and Qatar Foundation a non-exclusive, worldwide, perpetual, irrevocable, royalty-free license to reproduce, display and distribute the manuscript in whole or in part in any form to be posted in digital or print format and made available to the public at no charge. Unless otherwise specified in the copyright statement or the metadata, all rights are reserved by the copyright holder. For permission to reuse content, please contact the author.Institution affiliated with
- Hamad Bin Khalifa University
- College of Science and Engineering - HBKU
Geographic coverage
QatarDegree Date
- 2022
Degree Type
- Master's