Abstract：In traditional vibroseis' seismic data processing,the correlation and deconvolution algorithms are usually used to transform acquired raw data in separate seismic channels into seismic sections,but their effects are severely affected by the interference of environment noises. The paper adopts the timefrequency crosscorrelation (TFCC) algorithm based on wavelet transform that can detect the reflection waves from vibroseis seismic data and estimate time delays. In the algorithm,firstly the wavelet transform is carried out for channel data and sweeping signals,which results in timefrequency representation;then,the crosscorrelation is carried out for timefrequency representation. The reflection waves are transformed into timefrequency correlated wavelet and raw channel data is transformed into formation section at the same time in computed results of timefrequency crosscorrelation. Using TFCC and correlation algorithms for processing of same practical vibroseis seismic data showed that the former could better suppress noises and detect weak reflection signal distinctively.
