Accurate Reconstruction of Short-Duration Passive Seismic Data With Transformer Integrating Multiscale Dense Network

Passive source seismic interferometry is a cost-effective geophysical method that converts noise signals into valuable information. The fidelity of the resultant common-shot gather is pivotal for effective imaging. The quality of reconstructed records via seismic interferometry directly correlates with the duration of background noise observation. However, practical applications often encounter difficulties in obtaining stable and usable long-duration observations of noise-based passive seismic records. Short-duration observations may introduce spurious physical events, thereby compromising the reliability of seismic wavefield imaging and geological interpretation. In this study, we introduce MDUNETR, an advanced passive data reconstruction network amalgamating Transformer and multiscale dense blocks (MDBs) to enhance accuracy. By integrating Transformer and MDB, the network effectively captures both global and local information. Utilizing the MDUNETR network, we can reconstruct accurate passive source interferometric seismic records from short-duration noise interference signals. This overcomes the time limitations imposed by seismic interferometry on the original noise records. Theoretical data applications demonstrate the stability and fidelity of the seismic records reconstructed by this network, ensuring reliable results.