Identification Analysis of Small Faults in Coalfields Based on Multi-scale Seismic Curvature Attribute Fusion
In order to adapt to the requirements of the intelligent development of China's coal mines for the transparency of geological conditions,the identification of small faults with a drop of about 3 m has become an important geological task in the tectonic interpretation.Based on the introduction of the basic principles of the S-transform time-frequency analysis,PCA(Principal Component Analysis)and RGB fusion,a method of identifying the small faults in coalfields based on the fusion of multi-scale seismic curvature attributes was proposed.The results showed that the S-transform time-frequency analysis obtained multi-frequency seismic data bodies,and different frequency seismic data bodies corresponded to different scales of subsurface geologic information writings;spectral analysis was performed on the seismic data to determine the dominant frequency,frequency band and other parameters of seismic signals,and to extract the maximum positive curvature attributes of the seismic data bodies at different frequencies;the seismic attributes of the seismic curvature data of different frequencies were analyzed using PCA method,and the first three seismic curvature attributes of the seismic data of different frequencies were fused using the RGB fusion method;the application of actual seismic data found that the results of multi-scale seismic curvature attribute fusion had obvious advantages in identifying small faults,which can improve the accuracy and interpretation precision of small faults in seismic data.
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