Integration of Log Data Analysis and Facies Core to Define Electrofacies Using Multi Resolution Graph-based Clustering

Abstract

This Paper has presented the Workflow from a case study of Integration of Log Data Analysis And Facies Core to Define Electrofacies, Using MRGC (Multi Resolution Graph-Based Clustering) Method, in Galaxy Field, Central Sumatera Basin, Indonesia. With requires an accurate geological description of reservoir characteristics, especially porosity-permeability distribution and facies estimation. Gathered of Permeability, Porosity and Volume of Shale are then clustered by MRGC to simplify the determination of facies. So Far, in this field, the result of electrofacies used combination of porosity, permeability and volume of shale clustering, its useful for define facies. Application from this paper to gave us a better understanding of relationship among porosity, permeability, and sedimentary facies that to be used for geological and petrophysical modeling and proposed the reservoir for water injection project to improve oil recovery.