A convolutional neural network approach to deblending seismic data
J Sun, S Slang, T Elboth, T Larsen Greiner… - Geophysics, 2020 - library.seg.org
For economic and efficiency reasons, blended acquisition of seismic data is becoming
increasingly commonplace. Seismic deblending methods are computationally demanding …
increasingly commonplace. Seismic deblending methods are computationally demanding …
Iterative deblending for simultaneous source data using the deep neural network
Simultaneous source technology can accelerate data acquisition and improve subsurface
illumination. But those advantages are compromised due to dense interference. To address …
illumination. But those advantages are compromised due to dense interference. To address …
Trace-wise coherent noise suppression via a self-supervised blind-trace deep-learning scheme
Seismic data denoising via supervised deep learning is effective and popular but requires
noise-free labels, which are rarely available. Blind-spot networks circumvent this …
noise-free labels, which are rarely available. Blind-spot networks circumvent this …
Seismic data denoising and deblending using deep learning
A Richardson, C Feller - arXiv preprint arXiv:1907.01497, 2019 - arxiv.org
An important step of seismic data processing is removing noise, including interference due
to simultaneous and blended sources, from the recorded data. Traditional methods are time …
to simultaneous and blended sources, from the recorded data. Traditional methods are time …
Attenuation of marine seismic interference noise employing a customized U‐Net
J Sun, S Slang, T Elboth, TL Greiner… - Geophysical …, 2020 - earthdoc.org
Marine seismic interference noise occurs when energy from nearby marine seismic source
vessels is recorded during a seismic survey. Such noise tends to be well preserved over …
vessels is recorded during a seismic survey. Such noise tends to be well preserved over …
Coherent noise suppression via a self-supervised blind-trace deep learning scheme
Coherent noise regularly plagues seismic recordings, causing artefacts and uncertainties in
products derived from down-the-line processing and imaging tasks. The outstanding …
products derived from down-the-line processing and imaging tasks. The outstanding …
A multi‐data training method for a deep neural network to improve the separation effect of simultaneous‐source data
K Wang, W Mao, H Song, EI Evinemi - Geophysical Prospecting, 2022 - earthdoc.org
Within the field of seismic data acquisition with active sources, the technique of acquiring
simultaneous data, also known as blended data, offers operational advantages. The …
simultaneous data, also known as blended data, offers operational advantages. The …
A numerical study on deblending of land simultaneous shooting acquisition data via rank‐reduction filtering and signal enhancement applications
W Jeong, C Tsingas, MS Almubarak - Geophysical Prospecting, 2020 - earthdoc.org
We propose a workflow of deblending methodology comprised of rank‐reduction filtering
followed by a signal enhancing process. This methodology can be used to preserve …
followed by a signal enhancing process. This methodology can be used to preserve …
Using convolutional neural networks for denoising and deblending of marine seismic data
S Slang, J Sun, T Elboth, S McDonald… - 81st EAGE Conference …, 2019 - earthdoc.org
Processing marine seismic data is computationally demanding and consists of multiple time-
consuming steps. Neural network based processing can, in theory, significantly reduce …
consuming steps. Neural network based processing can, in theory, significantly reduce …
Employing MS-UNets Networks for Multiscale 3D Gravity Data Inversion: A Case Study in the Nordkapp Basin, Barents Sea
R Wang, Y Ding, Z Xu, MS Zhdanov… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Salt domes are very important in hydrocarbon exploration and identification of potential
drilling hazards. While seismic data are indispensable for detailed subsurface imaging …
drilling hazards. While seismic data are indispensable for detailed subsurface imaging …