Seismic noise attenuation is essential for seismic interpretation and reservoir
characterization. Recently, many researchers have applied convolutional neural network …

The main goal of this paper is to characterize a reservoir situated in the southeast of Algeria
based on AVO seismic inversion. The seismic inversion model has been built by the iterative …

Vertical seismic profile (VSP) data have the advantage of higher data quality than surface
seismic data. Using VSP data has become a powerful technology to achieve accurate …

In seismic exploration, effective seismic noise attenuation along with seismic signal
preservation is a key problem for seismic signal processing. The seismic data acquired from …

This paper proposes a diffusion filter based scheme to denoise seismic attributes and to
improve the porosity volume, which is predicted from seismic attributes. We compare the …

When acoustic waves meet the side wall media in a fluid-filled borehole, the electromagnetic
field at the borehole interface between the formation and borehole fluid called the interface …

Featured Application The work reported in this paper contributes to the further improvement
of the reverse-time migration imaging accuracy of VSP data, which has broad application …

In this article, we propose a modified guided filter to denoise seismic data corrupted with
random noise. The traditional guided filter uses the input image or another image as a …

In this letter, we combine anisotropic and isotropic diffusion models and establish a
combined energy variational model for seismic denoising. We propose a dynamic threshold …

The seismic interpretation step remains dependent on the quality of the data recordings,
which are often affected by coherent and inconsistent noises. The main objective of this work …