Zobrazeno 1 - 6
of 6
pro vyhledávání: '"James Selvage"'
Autor:
Charles Jones, James Selvage, Philipp Witte, Henryk Modzelewski, Felix J. Herrmann, Mathias Louboutin
Adapting the cloud for high-performance computing (HPC) is a challenging task, as software for HPC applications hinges on fast network connections and is sensitive to hardware failures. Using cloud infrastructure to recreate conventional HPC clusters
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d8c0a454d168f6acd9f4460ee98fed6
http://arxiv.org/abs/1909.01279
http://arxiv.org/abs/1909.01279
Autor:
Felix J. Herrmann, Charles Jones, Mathias Louboutin, James Selvage, Philipp Witte, Henryk Modzelewski
Publikováno v:
SEG Technical Program Expanded Abstracts 2019.
Publikováno v:
First Break. 32
R ecent research and surveys have recognised the applicability of conventional 3D seismic for pre-drilling shallow hazard analysis. Selvage et al., (2012) introduced a shallow hazard analysis framework to leverage the spatial bandwidth in 3D seismic
Autor:
Graham Conroy, James Selvage, Andrew Ratcliffe, Lucy Ramsey, Richard Jupp, Charles Jones, Miles Evans
Publikováno v:
London 2013, 75th eage conference en exhibition incorporating SPE Europec.
We apply Full Waveform Inversion (FWI) to a Narrow Azimuth (NAZ) towed streamer data acquired over the Samson Dome region in the Barents Sea which has complex structural geology. This case study demonstrates the improvement in seismic image quality r
Publikováno v:
First Break. 30
James Selvage, Charles Jones and Jonathan Edgar describe methods to detect and analyze geohazards using 3D seismic data. They discuss the suitability of 3D seismic data for this purpose and the future directions for automating and improving seismic g
Publikováno v:
SEG Technical Program Expanded Abstracts 2009.
SUMMARY Deconvolution is a standard step in seismic processing and is usually performed using a linear deconvolution filter; such as the Wiener filter. Unfortunately, since such a filter is obtained from a linear combination of noisy observations it