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 …

Deep learning has shown a considerable potential to significantly improve processing
efficiency but has not yet been widely deployed to production projects of seismic signal …

This paper presents recent advances in the area of seismic interference (SI) attenuation for
towed streamer data. We show how high amplitude and broadside SI noise can be nearly …

To separate seismic interference (SI) noise while ensuring high signal fidelity, we propose a
deep neural network (DNN)-based workflow applied to common shot gathers (CSGs). In our …

To separate seismic interference (SI) noise while ensuring high signal fidelity, we have
developed a deep neural network (DNN)-based workflow applied to common-shot gathers …

Marine seismic data may be contaminated by external source interference noise (ESIN) in
some cases. These ESINs can be suppressed automatically, provided we can localize these …

Summary During the 2014 North Sea summer season a 2-D line with seismic interference
(SI) noise from varying separations and azimuths was recorded. This line was then used to …

Seismic denoising is an important processing step before subsequent imaging and
interpretation, which consumes a significant amount of time, whether it is for Quality control …

Abstracts Unwanted interference noise often causes problems during seismic reflection data
acquisition and processing. In this paper we present two novel data‐regrouping methods …

Denoising seismic data is a crucial processing step in imaging process that requires
significant compute time and human effort for quality control. There are limitations to existing …