Browsing Department of Earth Science by Journals "Geophysical Prospecting"
Now showing items 1-7 of 7
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Deghosting dual-component streamer data using demigration-based supervised learning
(Journal article; Peer reviewed, 2024)Ghost reflections from the free surface distort the source signature and generate notches in the seismic amplitude spectrum. For this reason, removing ghost reflections is essential to improve the bandwidth and signal-to-noise ... -
Homotopy scattering series for seismic forward modelling with variable density and velocity
(Journal article; Peer reviewed, 2021)We have derived a convergent scattering series solution for the frequency-domain wave equation in acoustic media with variable density and velocity. The convergent scattering series solution is based on the homotopy analysis ... -
A matrix-free variant of the distorted Born iterative method for seismic full-waveform inversion
(Journal article; Peer reviewed, 2023)The distorted Born iterative method reduces a nonlinear inverse scattering problem to a sequence of (ill-posed) linear inverse scattering problems that can be solved using a regularized least-squares formulation. This ... -
Microseismic wavefield modelling in anisotropic elastic media using integral equation method
(Journal article; Peer reviewed, 2023)In this paper, we present a frequency-domain volume integral method to model the microseismic wavefield in heterogeneous anisotropic-elastic media. The elastic wave equation is written as an integral equation of the ... -
Point-spread function convolution to simulate prestack depth migrated images: A validation study
(Journal article; Peer reviewed, 2021)Seismic migration commonly yields an incomplete reconstruction of the Earth model due to restricted survey aperture, band-limited frequency content and propagation effects. This affects both illumination and resolution of ... -
Seismic on floating ice: data acquisition versus flexural wave noise
(Journal article; Peer reviewed, 2019)Geophysical surveying of the Arctic will become increasingly important in future prospecting and monitoring of the terrestrial and adjacent areas in this hemisphere. Seismic data acquired on floating ice are hampered with ... -
Source and receiver deghosting by demigration-based supervised learning
(Journal article; Peer reviewed, 2022)Deghosting of marine seismic data is an important and challenging step in the seismic processing flow. We describe a novel approach to train a supervised convolutional neural network to perform joint source and receiver ...