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Optimization Of Solvent Assisted Sagd Using Hybrid Optimization Algorithms

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Optimization of Solvent Assisted SAGD using Hybrid Optimization Algorithms

by

Vinit Ganesh Menon

Project Report

Presented in Partial Fulfillment of the Requirements for the Degree of Master of Engineering

University of Alberta
November 2014
Abstract
In recent years, several Steam Assisted Gravity Drainage (SAGD) projects have proven effective for the recovery of heavy oil and bitumen and solvent assisted projects have shown positive indication of improved performance. The important factor that controls the performance of Solvent Assisted SAGD is the solvent type, injection ratio, injection strategy and operating pressures. This process reduces the effective Steam-Oil Ratio (SOR) of SAGD. However, this comes at a cost as a part of the injected solvent is retained in the reservoir and lost in terms of economics. The smaller the cost, the better are the economics of the process. Most of the studies carried out in the Petroleum World are based on optimizing few design parameters, but in this study we would be discussing the optimization of operating parameters.
For our study, we have considered a base model of SAGD process from CMG Stars sample models (STFLU57.dat) and have modified the reservoir model to a 330 gridblock model. This base model did not have any solvent in injection so we have added 3 solvents to the process, Butane, Pentane & Hexane. After the base model is created, we used Matlab to edit the dat file and using Direct Search optimization

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