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Investigation Of Hybrid SAGD Using Carbon Dioxide, Propane, Nitrogen and Methane

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posted on 2021-05-23, 18:11 authored by Muhammad Imran
This study investigates a hybrid SAGD (steam-assisted gravity drainage) process utilizing four gaseous solvents, namely, carbon dioxide, propane, nitrogen and methane that are co-injected with steam at different concentrations of 5.0, 7.5 and 10.0 wt%. The objectives are to evaluate and compare the effectiveness of non-condensable gases like methane, nitrogen and carbon dioxide with those of condensable hydrocarbons like propane; to evaluate the performance of hybrid SAGD applied to depleted, low-pressure oil reservoirs; and to numerically simulate the experimental results and obtain tuned relative permeability curves. For this purpose, rigorous experimentation is done using a laboratory-scale, cylindrical replica (i.e., physical model) of an oil reservoir with a set of parallel horizontal injection and production wells. A numerical process model is developed, simulated, and calibrated with the help of experimental data. The experimental setup incorporates i) an injection system designed to co-inject solvent and steam at the required injection temperature of 195°C and pressure of 1.45 MPa, gauge; ii) a production system designed to collect the produced fluids and measure the fractional flow of each phase while ensuring smooth operation with minimal variations in production pressure; and iii) control systems designed to precisely control the heaters temperatures. The experiments are performed at isothermal conditions with model permeability and porosity, respectively, 10.7 Darcy and 32%. It is observed that for low pressure reservoirs, oil recoveries with co-injected solvents are at least 18% more than that from steam alone. On an equal-weight-percentage basis, methane is found to be the best solvent, and results in the highest oil recovery of 50.7% of the original oil in place. Compared to non-condensable gases, propane has the highest solvent retention of up to 15%. The gases with higher solubility in heavy oil, like carbon dioxide and propane, show a reduction in oil recovery with an increase in feed solvent concentration. A numerical model of the process is developed and simulated using Computer Modelling Group’s (CMG) WinProp and STARS simulators. For the solvents that are found to be promising, the simulated oil, water and gas recoveries are history-matched with their experimental counterparts by adjusting the relative permeability curves. The resulting, calibrated model is able to predict oil, water and gas recovery in the hybrid SAGD process with less than 5% relative error.





Doctor of Philosophy


Chemical Engineering

Granting Institution

Ryerson University

LAC Thesis Type