Author(s)

Mohammadi Raheleh¹, Hajnajafi Reza²

¹Department of Chemistry, Tehran Centre branch of Islamic Azad University, Tehran, Iran.
²Department of Petroleum Engineering, University of New South Wales, Sydney, Australia.

With the increased global demand for crude oil, the increased reservoir lifetime, and the need for enhanced oil recovery methods, CO₂ injection has become an efficient choice. This paper aimed to determine optimal CO₂ injection choices using genetic algorithm, involving both optimized gas storage and enhanced oil recovery. There was no overlap between the objectives. Each was directly optimized and several optimal scenarios were developed at the same time. An advantage of this optimization method is that it is able to modify production scenario according to variations in optimization parameter values.

Gas Injection, Gas Storage, Enhanced Oil Recovery, Genetic Optimization Algorithms

Raheleh, M. and Reza, H. (2016) Proposing a Meta-Heuristic Algorithm for Enhanced Oil Recovery Using CO₂ Injection. Open Journal of Yangtze Oil and Gas, 1, 47-58. doi: 10.4236/ojogas.2016.13007.