For economic and efficiency reasons, blended acquisition of seismic data is becoming
increasingly commonplace. Seismic deblending methods are computationally demanding …

Marine seismic interference noise occurs when energy from nearby marine seismic source
vessels is recorded during a seismic survey. Such noise tends to be well preserved over …

Machine-learning (ML) applications in seismic exploration are growing faster than
applications in other industry fields, mainly due to the large amount of acquired data for the …

Due to inherent limitations in data acquisition, seismic data reconstruction is an important
procedure to recover missing data or improve observation density. Many conventional …

The simultaneous source data obtained by simultaneous source acquisition contain
crosstalk noise and cannot be directly used in conventional data processing procedures …

To streamline the fast-track processing of large data volumes, we have developed a deep
learning approach to deblend seismic data in the shot domain based on a practical strategy …

By increasing the source density, the blended data can significantly improve the seismic
data quality. However, the blended data cannot be directly used in the subsequent seismic …

Within the field of seismic data acquisition with active sources, the technique of acquiring
simultaneous data, also known as blended data, offers operational advantages. The …

Because swell noises are very common in marine seismic data, it is extremely important to
attenuate them to improve the signal-to-noise ratio (S/N). Compared to process noises in the …

Simultaneous acquisition is a construction method that has been proposed in recent years to
meet the requirements of ultra-large-scale and high-precision seismic exploration. Such …