DEVELOPING AN ENHANCED OIL RECOVERY SOFTWARE BY UTILIZING BIG DATA ANALYTICS TO EVALUATE VARIOUS ENHANCED RECOVERY METHODS - Year two

The continuing rise in demand, the decline in conventional domestic production, and the belated development of alternatives to petroleum combine to increase the importance of seeking new resources and methods for enhanced oil recovery (EOR). The amount, cost, and timing of the EOR contribution are highly uncertain. Additionally, due to the current economical constraints that oil industry is experiencing, the search for a cost-effective recovery method is even more significant. The results of this research proposal will deliver a comprehensive EOR software package including various screening, analysis, and prediction tools to extensively evaluate EOR methods. TO BE CONT'D

Intern: 
Mehdi Mohammadpoor
Faculty Supervisor: 
Farshid Torabi
Province: 
Saskatchewan
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Partner University: 
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