Research on Noise Suppression Algorithms for High-resolution Seismic Exploration Data
In recent years,with the development of seismic exploration technology,high-resolution seismic exploration data has become an important data source for seismic exploration.These data provide more detailed and clear underground structure information,which is of great significance for improving the accuracy and efficiency of resource exploration.However,in the process of seismic data processing,there is inevitably noise,which seriously affects the resolution and accuracy of seismic data.Therefore,the importance of noise suppression is evident for high-resolution seismic data.This article discusses in detail the characteristics of various types of noise,explores the current main noise suppression algorithms,and compares the performance of these algorithms.It is of great significance for improving the quality of high-resolution seismic exploration data,further revealing complex underground structural information,and improving the accuracy of seismic exploration and resource exploration.
high resolutionseismic explorationnoise suppression algorithmfrequency domain filtering algorithmtime frequency domain decomposition algorithm
万方数据
维普
