Systematic literature review on seismic diffraction imaging

G Zakarewicz, STR Maciel, LS da Cunha - Earth-Science Reviews, 2024 - Elsevier
The diffractive component of the wavefield is often treated as noise during traditional
preprocessing workflows. However, it possesses valuable information for imaging faults …

DiffraPy: An open-source Python software for seismic diffraction imaging

G Zakarewicz, S Maciel, R Biloti - Computers & Geosciences, 2024 - Elsevier
Seismic diffraction events, often overlooked as noise in conventional seismic imaging
methods, contain valuable high-resolution information about subsurface structures and …

[PDF][PDF] Seismic wave propagation characteristics using conventional and advance modelling algorithm for d-data imaging

Y Bashir, AA Babasafari, SYM Alashloo… - Journal of Seismic …, 2021 - researchgate.net
The importance of seismic imaging is being impetrative in the petroleum industry because of
exploiting minor hydrocarbon reservoirs traps in highly tectonic and complex structures …

Inspiration for seismic diffraction modelling, separation, and velocity in depth imaging

Y Bashir, N Mohd Muztaza, SY Moussavi Alashloo… - Applied Sciences, 2020 - mdpi.com
Fractured imaging is an important target for oil and gas exploration, as these images are
heterogeneous and have contain low-impedance contrast, which indicate the complexity in …

Enhanced wave modeling & optimal plane-wave destruction (OPWD) method for diffraction separation and imaging

Y Bashir, U bin Waheed, SH Ali, A Karaman… - Computers & …, 2024 - Elsevier
One of the primary challenges faced in seismic exploration is to determine the methodology
for analyzing the dispersive wave in various models while maintaining the wave's stability at …

Unsupervised Machine Learning Techniques for Improving Reservoir Interpretation Using Walkaway VSP and Sonic Log Data

M Zareba, T Danek, M Stefaniuk - Energies, 2023 - mdpi.com
In this paper, we present a detailed analysis of the possibility of using unsupervised
machine learning techniques for reservoir interpretation based on the parameters obtained …

Conditional Denoising Diffusion Probabilistic Model for Seismic Diffraction Separation and Imaging

H Zhang, Y Li, J Huang - IEEE Transactions on Geoscience and …, 2024 - ieeexplore.ieee.org
Seismic diffractions convey important wave information from subsurface geological targets,
such as pinch-outs, faults, and fractures. However, seismic diffractions are usually ignored in …

Elimination of the symmetrical artifacts in Kirchhoff depth migration for 3D whole-space tunnel seismic imaging

W Cai, P Zhu, Y Liu, C Li, Z Li - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Tunnel seismic prediction (TSP) faces challenges in accurately imaging geological
anomalies due to the confined spaces of subterranean tunnels in observation, differing …

Low-rank diffraction separation using an improved MSSA algorithm

P Lin, J Zhao, S Peng - Acta Geophysica, 2021 - Springer
Diffraction separation is a vital key step for high-resolution imaging of small-scale geologic
discontinuities. The multichannel singular-spectrum analysis (MSSA) algorithm has …

Regularized Low-Rank Approximation Method for Diffraction Enhancement

P Lin, S Peng, Y Xiang, C Li, X Cui… - IEEE Geoscience and …, 2023 - ieeexplore.ieee.org
The significance of seismic diffractions for the high-resolution imaging of subsurface
discontinuities has been emphasized in recent years. Separating diffractions from strong …