Interpretation of faults in seismic data is today a time consuming manual task. A new method for automatic extraction of fault surfaces from conditioned fault enhancing attributes is presented. The backbone of this process is formed by the attribute set chosen. Attributes well suited for fault detection and enhancement will be defined and procedures for fault surface extraction explained. A case study of automatically interpreted fault surfaces will be shown.
Reducing time from exploration to production of an oilfield has great economical benefits. Oil companies have suggested that for each 6 months saved, 5 % of the total costs of the development of the oilfield is saved. In the exploration phase, some of the most time consuming tasks involves the geological interpretation of seismic data. This is today done manually by interpreters, and much time could be saved by automating these tasks. This paper will focus fault interpretation.
