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

 

Pubblicato il 25 set 2018

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As in the 2019, when a group of UNIPG students won the participation to the SEG meeting in San Antonio (Texas), also this year another team of UNIPG students successfully accomplished the collaborative project SEG EVOLVE edition 2020, working remotely in collaboration with Engineering Students from the University of Leoben, Austria.

Thanks to an excellent performance during the final EVOLVE presentation in June, they got selected to join the International Society of Exploration Geophysicists (SEG) Annual Meeting to present their work.

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In this area, the highly karstified bedrock and the filling pyroclastic sediments characterize a complex and particular hydrogeological scenario. The aim of the field camp is therefore double: training activities on geophysical data acquisitions; detection of geological features of the site through different geophysical measurements.

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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…