EAGE E-Lecture: Seismic interpretation with deep learning by Anders U. Waldeland
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The past is the key to the future: what we have done and we are planning to do
I membri della University of Naples Federico II SEG Student Chapter, sono lieti di invitarvi al webinar “The past is the key to the future: what we have done and we are planning to do”.
Durante l’evento, il nuovo board della SEG Student Chapter illustrerà tutte le attività che sono state svolte nel biennio 2019/2020 ed i progetti relativi a questo nuovo anno. In particolare, una parte del webinar sarà dedicata alla presentazione dei risultati preliminari relativi alle indagini geofisiche condotte durante il corso “SEG Geophysics Field Camp in Southern Italy 2020”.
Borsa di studio in memoria del dott. Andrea Restivo sul tema: “Nuovo modello tridimensionale di velocità dell’Italia Nord-Orientale da inversione tomografica di dati sismologici ed integrazione con dati geofisici”
La ricerca oggetto della borsa rientra nell’attività istituzionale del Centro di Ricerche Sismologiche di OGS, essendo finalizzata alla definizione di un modello tridimensionale delle velocità delle onde sismiche dell’Italia Nord-Orientale.
La domanda deve essere presentata entro il 19 febbraio 2021
28th “Gustavo Sclocchi” Theses Award Announcement
for Philosophy Doctors and University Graduates
in disciplines related to the Energy Industry
To reward outstanding university graduates specializing in areas related to the Energy Industry, SPE Italian Section (Society of Petroleum Engineers), EAGE (European Association of Geoscientists & Engineers) and Assorisorse (Sustainable Natural Resources and Energy) announce the 28th “Gustavo Sclocchi” Theses Award.
University graduates from Italian universities and Italian nationals graduated abroad who have completed their studies in the period October 1st 2019 to December 31st 2020 are entitled to submit their published thesis for the award.
To learn more about what EAGE has to offer on Machine Learning, please visit the EAGE calendar of events here: https://www.eage.org/en/events/calend…
How and why can Deep Learning be used for seismic interpretation? The machine learning technique called deep learning is revolutionizing the field of computer vision.
A central part of deep learning is convolutional neural networks (CNN).
This E-lecture gives a simple and intuitive introduction to CNNs in the context of seismic interpretation.
Github link: https://github.com/waldeland/CNN-for-ASI
Paper link: https://doi.org/10.3997/2214-4609.201…
Paper link: https://library.seg.org/doi/abs/10.11…
EAGE also offers Webinars on a range of geoscience and engineering topics.
Learn more here: https://prod.eage.org/sitecore/conten…