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 …
preprocessing workflows. However, it possesses valuable information for imaging faults …
DiffraPy: An open-source Python software for seismic diffraction imaging
Seismic diffraction events, often overlooked as noise in conventional seismic imaging
methods, contain valuable high-resolution information about subsurface structures and …
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
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 …
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 …
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
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 …
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 …
machine learning techniques for reservoir interpretation based on the parameters obtained …
Conditional Denoising Diffusion Probabilistic Model for Seismic Diffraction Separation and Imaging
Seismic diffractions convey important wave information from subsurface geological targets,
such as pinch-outs, faults, and fractures. However, seismic diffractions are usually ignored in …
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 …
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 …
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 …
discontinuities has been emphasized in recent years. Separating diffractions from strong …