PGS ASA Machine learning (ML) dominated the technical program at the 2020 Society of Exploration Geophysicists (SEG). Deep Learning applications were the most popular.
In this edition of Industry Insights, Andrew considers efforts in convolutional neural networks (CNNs) and generative adversarial networks (GANs), and how a combination of these may provide a foundation to evolve ML solutions in the geosciences.
Complementary deep learning efforts may also provide a means to address the lack of very low-frequency signals in the recorded data, resolving one of the key weaknesses in Full Waveform Inversion.
- Read the full article in our Technical Library: Industry Insights | Deep Learning at SEG
- PGS at SEG 2020 | Event commentary by Andrew Long
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PGS - Petroleum Geo-Services ASA published this content on 11 November 2020 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 11 November 2020 07:34:01 UTC
