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of 137
pro vyhledávání: '"C. Fortini"'
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
Akademický článek
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Publikováno v:
81st EAGE Conference and Exhibition 2019.
Summary Velocity Model Building and Pre-Stack Depth Migration (PSDM) are two fundamental tools for seismic exploration, especially for the prospect de-risking phase. Improving the resolution of both seismic images and estimated subsurface models is c
Publikováno v:
Second EAGE Workshop on Deepwater Exploration in Mexico: Knowledge transfer and collaboration from shelf to deepwater.
Summary We present the main results of a Velocity Model Building (VMB) and a Prestack Depth Migration (PSDM) project in a southwestern area of the offshore Gulf of Mexico. The purpose of the project was to support the characterization of the explorat
Publikováno v:
81st EAGE Conference and Exhibition 2019.
Publikováno v:
SEG Technical Program Expanded Abstracts 2018.
Publikováno v:
Proceedings.
Summary Here we present a work done for the Zohr giant gas field PSDM project. The reservoir is in a Cretaceous carbonate platform located below a structurally complicated salt body. Despite the application of the most accurate imaging algorithms, in
Autor:
Gualtiero I. Colombo, M. Buzzetti, C. Fortini, Giulio Pompilio, F. Cecaro, Yuri D'Alessandra, Maria Cristina Carena, Antonio Paolo Beltrami, Roberto Ferrari, A. Aleksova, C. Ruggeri, Daniela Cesselli, S. Sponga
Publikováno v:
European Heart Journal. 38