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

 

Pubblicato il 25 set 2018

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EAGE 2020 ONLINE Conference & Exibition

La Sezione Italiana EAGE-SEG è lieta di dare ai suoi membri la possibilità di ottenere uno sconto sui costi di iscrizione per la EAGE 2020 ONLINE Conference & Exibition.

Lo sconto viene applicato automaticamente utilizzando il pulsante qui in basso. NB: Lo sconto non si applica alle iscrizioni studentesche.

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Webinar: Microseismic Monitoring: What I have learned in the last four years

In 2016, Peter Duncan presented a two-day overview of microseismic monitoring as he understood it at that time. Over the last four years the application of microseismic data, particularly to the development of unconventional resources through hydraulic fracturing, has made great strides particularly through integration with other reservoir geology and engineering practices. In this course, Duncan will try to bring you up to date on what has been accomplished using case histories of recent projects.

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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…