Yasin Hajizadeh

Comparison of Evolutionary and Swarm Intelligence Methods for History Matching and Uncertainty Quantification in Petroleum Reservoir Models

Petroleum reservoir models are vital tools to help engineers in making field development decisions. Uncertainty of reservoir models in predicting future performance of a field needs to be quantified for risk management practices. Rigorous optimisation and uncertainty quantification of the reservoir simulation models are the two important steps in any reservoir engineering study. These steps facilitate decision making and have a direct impact on technical and financial performance of oil and gas companies.