EAGE E-Lecture: Seismic interpretation with deep learning by Anders U. Waldeland

 

Pubblicato il 25 set 2018

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Eni Seismic Reservoir Characterisation Team – Massimo Fervari

The Italian EAGE-SEG Sectioninterviewed Massimo Fervari about the current applications and future perspectives onSeismic Inversion techniques, a technical topic with enormous implicationson the E&P activities of Energy Companies.Seismic Inversion has several applications and Massimo’s brain is certainly among the most passionate ones to pick.

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Assegnazione Sponsorhip Studentesca per 82a EAGE Conference & Exhibition

La Sezione Italiana EAGE-SEG ha offerto anche quest’anno la registrazione gratuita ed un rimborso spese forfettario pari a 300 euro a studenti di Università Italiane, per poter partecipare alla EAGE Conference & Exhibition, che si svolgerà a Amsterdam dall’ 8 all’ 11 dicembre 2020.

Dopo l’esame delle domande ricevute, è stata selezionata la studentessa Alessandra Lanzoni, dell’ Università di Trieste.

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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…