Numerical simulation and optimization of cyclic and continuous fluid injection for geothermal energy recovery
dc.contributor.advisor | Jia, Na | |
dc.contributor.author | Li, Runzhi | |
dc.contributor.committeemember | Zhao, Gang | |
dc.contributor.committeemember | Shirif, Ezeddin | |
dc.contributor.externalexaminer | Ng, Kelvin Tsun Wai | |
dc.date.accessioned | 2023-12-18T17:11:59Z | |
dc.date.available | 2023-12-18T17:11:59Z | |
dc.date.issued | 2023-07 | |
dc.description | A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Applied Science in Petroleum Systems Engineering, University of Regina. xiii, 135 p. | |
dc.description.abstract | Geothermal energy is a viable solution for reducing greenhouse gas emissions and mitigating climate change. It has a wide geographic distribution, requires little exploration and operation costs, and has virtually no carbon emissions. This renewable energy source can generate electricity, provide direct heating and cooling, and even be utilized for agricultural and industrial processes. It can be harnessed at any scale, from individual buildings to large-scale power plants, and is available in many parts of the world. In addition, the operation and maintenance costs of geothermal energy resources are relatively low, making it a cost-effective alternative to other energy production forms. Meanwhile, geothermal energy emits significantly less carbon dioxide compared to fossil fuel power plants, reducing the dependence on fossil fuels. This thesis focuses on the numerical simulation of the geothermal energy extraction from the geothermal reservoirs by utilizing various recovery strategies originating from the petroleum industry. Initially, this research uses Computer Modelling Group (CMG) reservoir simulator software to simulate the energy extraction in the conventional water base geothermal reservoirs that locate at Western Canada Sedimentary Basin and the area in the City of Regina. The simulation of the primary recovery (rely on the natural energy release from the original reservoirs) and secondary recovery (continuous water injection and cyclic water injection) were discussed. The CMG-CMOST was involved in this study in order to process the optimization process to maximize cumulative energy production and net present value (NPV) of geothermal energy recovery process. In addition, the injected working fluid was changed to carbon dioxide (CO2) for extracting geothermal energy, which is considered a significant source caused global warming issues. In this study, the injected CO2 was controlled at a supercritical state in order to maintain its higher heat capacity. History matching was performed in order to verify the fluid model’s accuracy. All the simulation and optimization process was performed, and the performance of CO2 as a working fluid in the geothermal energy extraction process were discussed. | |
dc.description.authorstatus | Student | en |
dc.description.peerreview | yes | en |
dc.identifier.tcnumber | TC-STU-16183 | |
dc.identifier.thesisurl | https://ourspace.uregina.ca/bitstreams/08f26654-5262-4a6b-9053-43f94a284e0f/download | |
dc.identifier.uri | https://hdl.handle.net/10294/16183 | |
dc.language.iso | en | en |
dc.publisher | Faculty of Graduate Studies and Research, University of Regina | en |
dc.title | Numerical simulation and optimization of cyclic and continuous fluid injection for geothermal energy recovery | |
dc.type | Thesis | en |
thesis.degree.department | Faculty of Engineering and Applied Science | |
thesis.degree.discipline | Engineering - Petroleum Systems | |
thesis.degree.grantor | University of Regina | en |
thesis.degree.level | Master's | en |
thesis.degree.name | Master of Applied Science (MASc) |