Recently it has become a common practice to construct 3D coreflooding simulation model to interpret water displacement experiments conducted under X-ray CT scanning. The unknown grid block parameters i.e. kro/krw and Pc curves are required to be optimized to get reasonable matching with experimental data such as changes of grid block water saturation. In order to evaluate the matching process efficiently a new automated history-matching program has been developed. This program applies Genetic Algorithm to optimize several coefficients for normalized kro/krw and Pc curves for each litho-facies.
展开▼
