Teapot Dome field is located 35 miles north of Casper, Wyoming in Natrona County.
This field has been selected by the U.S. Department of Energy to implement a field-size
CO2 storage project. With a projected storage of 2.6 million tons of carbon dioxide a
year under fully operational conditions in 2006, the multiple-partner Teapot Dome
project could be one of the world's largest CO2 storage sites.
CO2 injection has been used for decades to improve oil recovery from depleted
hydrocarbon reservoirs. In the CO2 sequestration technique, the aim is to "co-optimize" CO2 storage and oil recovery.
In order to achieve the goal of CO2 sequestration, this study uses reservoir simulation to predict the amount of CO2 that can be stored in the Tensleep Formation and the amount of oil that can be produced as a side benefit of CO2 injection. This research discusses the effects of using different reservoir fluid models from EOS
regression and fracture permeability in dual porosity models on enhanced oil recovery
and CO2 storage in the Tensleep Formation. Oil and gas production behavior obtained
from the fluid models were completely different. Fully compositional and pseudo-miscible black oil fluid models were tested in a quarter of a five spot pattern. Compositional fluid model is more convenient for enhanced oil recovery evaluation. Detailed reservoir characterization was performed to represent the complex characteristics of the reservoir. A 3D black oil reservoir simulation model was used to evaluate the effects of fractures in reservoir fluids production. Single porosity simulation model results were compared with those from the dual porosity model. Based on the results obtained from each simulation model, it has been concluded that the pseudo-miscible model can not be used to represent the CO2 injection process in Teapot Dome. Dual porosity models with variable fracture permeability provided a better
reproduction of oil and water rates in the highly fractured Tensleep Formation.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/3083 |
| Date | 12 April 2006 |
| Creators | Gaviria Garcia, Ricardo |
| Contributors | Schechter, David S. |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | 4839927 bytes, electronic, application/pdf, born digital |
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