Zobrazeno 1 - 10
of 86
pro vyhledávání: '"N. Bienati"'
Publikováno v:
Sixth EAGE High Performance Computing Workshop.
We study the applicability of deep learning (DL) methods to generate acoustic synthetic data from 1D models of the subsurface. We designed and implemented a Neural Network (NN) and we trained it to generate synthetic seismograms (common shot gathers)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06f945427381bfa2019c66273ebf8b9f
http://hdl.handle.net/11368/2993702
http://hdl.handle.net/11368/2993702
Publikováno v:
Fifth EAGE Workshop on High Performance Computing for Upstream.
Summary In industrial HPC applications, the maximization of the overall performance is a complex task: besides optimization aspects strictly related to numerical algorithms, many others must be taken into account. In particular, in addition to single
Publikováno v:
Proceedings.
During last decade Fourier methods based on Compressive Sensing sparsity promoting tools have been ascertained as most effective approaches to the interpolation of irregular sampled data problem. This is due to their capability in handling the non-or
Publikováno v:
Proceedings.
The suppression of multiple events is a crucial task in seismic marine data processing and several multiple elimination techniques have been addressed in the last 20 years. Both model-driven as well as data-driven methods has been successfully develo
Publikováno v:
Proceedings.
Radon transforms are integral operators widely used in seismic exploration for multiple attenuation, velocity analysis and data interpolation. A reasonable assumption about the Radon transform applied to seismic images is sparseness, where the image
Publikováno v:
Proceedings.
Hardware accelerators are promising to speed-up seismic imaging with a convenient price/performance ratio. However, achieving such speed-up has a cost in terms of programming effort. Indeed in order to exploit accelerators with the maximum efficiency
Publikováno v:
Proceedings.
RTM is the most advanced imaging technology and it is starting to be routinely applied to production projects. Nonetheless, in order to fully exploit its potentiality RTM should be also integrated in the velociy model building
Publikováno v:
Proceedings.
3D multiple elimination plays a fundamental role in marine data processing. 3D SRME algorithm has some manifest advantages with respect to other multiple elimination techniques: in particular its accuracy and its fully data-driven nature that allows