摘要
In this paper,a method for neural networks gas chimney identification based on steering cube is proposed.With the dip and azimuth information of the steering cube,supervised neural networks analysis extracts best seismic attributes which reflect seismic anomaly.A real data example shows that this method has obvious advantages compared with conventional multi-attributes in chimney identification.