After reading this short-course book, the seismic interpreter should be able to: use attributes to quantify geometric, dynamic, kinematic, statistical, and geomechanical properties of the 3D seismic data volume, use 3D visualization and multiattribute crossplots to interactively enhance and isolate geologic features that otherwise might be overlooked, use concepts of geomorphology, diagenesis, and tectonic deformation to integrate seismic and well-log data within an appropriate geologic framework, use classical statistics and modern machine learning to establish correlations between 3D seismic data, rock properties, and engineering data that then can be employed to predict future rates of penetration, well-completion success, and well-fluid production, and use seismic attributes computed from 3D seismic data as the framework for data integration throughout the lifespan of the oil field.