This paper demonstrates how automatic fault extraction from seismic data can be used to accurately define a fault network within a fractured basement reservoir. For this case study, a fault network was initially manually interpreted from 3D seismic data after which automated fault extraction methods were run on the data. The results of this were used to populate a Discrete Fracture Network (DFN) model and were also used to select a well location, which was drilled in 2009. A comprehensive suite of logs were acquired over the fractured basement interval, along with multi-offset VSP allowing for the identification of fault zones within the well bore and the integration of the well and VSP data with the manually and automatically interpreted fault networks. This study demonstrates that automated fault extraction methods to be effective as an aid to characterizing fractured reservoirs.