Ground roll could seriously mask the useful reflection signals and decrease the signal-to-
noise ratio (S/N) of seismic data, thereby affecting the subsequent seismic data processing …

The attenuation of coherent noise in land seismic data, specifically ground roll and near-
surface scattered energy, remains a longstanding challenge. Although recent advances in …

We propose to adopt a deep learning based framework using generative adversarial
networks for ground‐roll attenuation in land seismic data. Accounting for the non‐stationary …

Ground roll is a persistent problem in land seismic data. This type of coherent noise often
contaminates seismic signals and severely reduces the signal-to-noise ratio of seismic data …

We propose a novel approach for removing noise from multiple reflections based on an
adaptive randomized-order empirical mode decomposition (EMD) framework. We first flatten …

Multichannel singular spectrum analysis (MSSA) is an effective algorithm for random noise
attenuation; however, it cannot be used to suppress coherent noise. This limitation results …

We have developed a ground-roll attenuation strategy for seismic records that adopts the
curvelet transform. The curvelet transform decomposes the seismic events based on their …

The high-order Radon transform is adopted to eliminate incoherent noise that appears in
common receiver gathers when simultaneous source data are acquired. An iterative scheme …

Linear coherent noise attenuation is a troublesome problem in a variety of seismic
exploration areas. Traditional methods often use the differences in frequency, wavenumber …

In recent years, self‐supervised procedures have advanced the field of seismic noise
attenuation, due to not requiring a massive amount of clean labelled data in the training …