F-32 DETECTION OF SEISMIC OBJECTS THE FASTEST WAY TO DO PROSPECT AND GEOHAZARD EVALUATIONS Abstract 1 A method for automated detection of seismic objects has been developed recently by Meldahl et al. (1998 and 1999). Initial applications included the detection of seismic chimneys and faults (Heggland et al. 1999 and 2000). However the method which uses a neural network to transform multiple ‘directive’ attributes into ‘object probability’ classes has general applicability to detect a range of seismic objects. Application of the method to detect objects such as reflectors faults chimneys flat spots traps etc. which are normally mapped during a


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