3D Seismic Multi-attribute Analysis for Fault/Fracture Delineation and Porosity Prediction – A Kuwait Case Study

An existing exploration lead in the study area is considered to be high risk due to its lack of four-way closure, whereas nearby existing producing fields all have excellent four-way closures. However, stratigraphic traps could potentially exist in this area, which would make this lead attractive for exploration. We attempt to utilize seismic attributes, not only to delineate faults and fractures as the structural fabric, but also to delineate major stratigraphic features, including mapping of porosity distribution for the zone of interest. Post-stack inversion was conducted to get layer properties and to enhance the seismic resolution. The inverted acoustic impedance was combined with conventional migrated stack for neural network analysis to predict 3D porosity volume calibrated with well data. We observed that seismic attributes are useful for fault/fracture mapping in this area. Semblance, structure cube, and dip corrected structure cube are useful for regional fault mapping; whereas curvature, spectral decomposition, and wave form classification can potentially produce very detailed maps of faults and fractures. The porosity trend of the zone of interest appears to have a similar trend compared to the fault lineaments. This could imply that porosity generation and enhancement might be structurally related.