The invention relates to a method for processing a 3-D measured data set that is provided with a seismic attribute. Processing is carried out by means of a neuronal network. A self-organised card is trained with selected training data and the data to be examined are classified according to the self-organised card. The measured data is processed in the form of a subvolume which comprises spatial surroundings of each sample (measured data point). The classification is stored in a result data set and is represented in a two-dimensional card for instance.
METHOD FOR PROCESSING SEISMIC MEASURED DATA WITH A NEURONAL NETWORK