Initial Ranking of Oil Reservoirs for CO2 EOR: a Multi-attribute Decision Making Approach

From a regional-scale or quick assessment viewpoint, a number of reservoir researchers provided heuristic methodologies to handle the initial technical evaluation of oil reservoirs for carbon dioxide flooding. But, they have not utilized a methodology among multi-attribute decision making approaches, which are more widely accepted and commonly applied. Therefore, this paper aims to introduce the use of a common multi-attribute decision making method, Grey Relational Analysis, for solving the problem of initial technical ranking of oil reservoirs for CO2-flooding EOR. Moreover, the proposed methodology makes some significance to the field of Grey Relational Analysis. The proposed procedure enables oil industry decision makers to consider the parametric uncertainty inherent in the problem by utilizing grey numbers. Furthermore, it serves as a more comprehensive procedure for analyzing real case problems, in which considering different types of criteria seems essential. The methodology is applied to a real case study of Iranian oil reservoirs in order to obtain illustrative results.