A Statistical Inference Approach for the Identification of Dominant Parameters in Immiscible Nitrogen Injection

Abstract

Screening analysis is a useful guideline that helps us with proper field selection for different enhanced oil recovery processes. In this work, reservoir simulation is combined with experimental design to estimate the effect of reservoir rock and fluid properties on performance of immiscible nitrogen injection. Reservoir dip, thickness, and horizontal permeability are found to be the most influential parameters. Possible interactions of parameters are also discussed to increase reliability and robustness of screening results. Finally, significance of both main effects and interactions are evaluated by employing a statistical inference approach (hypothesis testing) and results are compared to Pareto analysis.

Keywords::

• design of experiments
• hypothesis testing
• immiscible nitrogen injection
• screening analysis