AUTOMATED METHOD OF DELINEATING SPATIALLY DEPENDENT OBJECTS, SUCH AS HYDROCARBON ACCUMULATIONS FROM SEISMIC DATA

摘要

The method finds application in the automated delineation of spatially dependent objects based on a neural network, especially such as hydrocarbon accumulations, aeromagnetic profiles, astronomical clusters, objects from radar, sonar, seismic and infrared returns, etc. Besides, the method may be used whether or not known data is available to provide traditional training sets. The output consists of a classification of the input data into clearly delineated accumulations, clusters, objects, etc., that have various types and properties. A preferred but non-exclusive application of the method is the automated delineation of hydrocarbon accumulations and sub-regions within the accumulations with various properties, in an oil or gas field, prior to the commencement of drilling operations.