An Integrated Method 3D Velocity Model and Fuzzy Clustering for Fracture Characterization

Abstract

Enhanced Geothermal system assessment conducted to have a better understanding of characteristics of fracture caused by a fluid injection in the geothermal reservoir. Fluid injection may cause microseismic occur. These events allow us to map and characterize fractures in the geothermal system. Fractures play important role at the geothermal system due to its ability to increase permeability for fluid movement within the reservoir. In this study, we combined tomographic inversion method and fuzzy clustering to identify fracture characteristics at the EIF Geothermal Field. Tomography helped in delineating fluid-filled fractures with high permeability area which shown by lower velocity Vs anomaly than Vp and higher Vp/Vs ratio. Fuzzy clustering allowed us to map microseismic movement and estimate suitable locations for the future well injections or productions.