Automated Dynamic Rock Typing based on Relative Permeability curves

Rock typing has been one of the popular and important topics and research areas for the petroleum engineers. It would help the reservoir engineers to better understand and predict the behaviour and the characteristics of their oil reserves. In this project we will use Relative Permeability curves to assign the rock types to different networks. for this the OPENPNM package of python has been used to generate the synthetic data of the networks and calculate the relative permeability for the networks containing two phases of Oil and Water and based on the relative permeability curves the relevant features would be added to the dataset and then employing the extracted features as input into multivariate data analysis/machine learning algorithms to classify the relative permeability curves, and derive dynamic rock types.