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College of Arts & Sciences
School of the Earth, Ocean and Environment

GEOL Dissertation Qualifying Exam - Adil Alshammari

Friday, April 21, 2017 - 9:00am

Adil Alshammari
Dissertation Qualifying Exam
PhD in Geological Sciences
School of the Earth, Ocean, and Environment
Friday, April 21th, 2017
EWS 210 (Taber Room)
Dr. Venkat Lakshmi, Major Advisor
Dr. Duke Brantley, Committee Member
Dr. Camelia C. Knapp, Committee Member
Dr. James H. Knapp, Committee Member


Simulation of carbon dioxide sequestration in South Georgia Rift (SGR) basin and the United States Southeastern Outer Continental Shelf


This research involves the study of sequestration of carbon dioxide (CO2) in the subsurface. Regardless of the fuel used- oil, coal, and natural gas, power station are the biggest sources of emission of CO2, Scientists suggest several solutions to reduce the anthropogenic contribution of carbon dioxide into the atmosphere. One such method is storage underground in geological formations because this location can be considered stable as reservoir rocks, especially the igneous type, can react with carbon dioxide to produce geochemically stable carbonates rocks. Therefore, geological structures and stratigraphy will serve as an ideal trap for CO2 sequestration if a good seal and acceptable porosity and permeability exist. Due to the complexity of SGR basin, vigilant planning and management of injection and sequestration is required to reduce the risk of leakage and enhance the amount of storage. A 3D geological model using seismic and borehole data created in Schlumberger’s Petrel will be gridded, parameterized and used in both the SGR basin and the outer continental shelf injection simulation. Three models will be used in the injection simulation. The first and simplest model will predict the CO2 plume distribution and connect with fault permeability. The second model will show us multi-components of the injected CO2 and will inform us if there are differences of CO2 plume migration and the ability of the subsurface stratigraphy to trap CO2.. We will carry out these calculations by using the advanced reservoir simulation modelling with compositional variations and advanced modelling of the recovery processes involving steam, solvents, air and chemicals. The last model will use the results of the previous models and highly specialized software that employs innovative experimental design, sampling and optimization techniques to efficiently determine reservoir and operating parameters defining recovery and production of oil and gas fields to perform statistical analysis and carry out financial parameterization to undertake a CO2 enhanced oil recovery feasibility study. Also, the inverted cone model (suggested name) will be summarized for the SGR basin model in order to correlate with other basins in the future. This research will help better constrain CO2 injection simulation best management practices and the final model will help quantify the feasibility of CO2 sequestration as a modern solution.