297 citations · 415 across the 9 of their papers we have counts for
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physics.geo-ph2020★ 1 cited
Unsupervised seismic facies classification using deep convolutional autoencoder
Vladimir Puzyrev, Chris Elders
With the increased size and complexity of seismic surveys, manual labeling of seismic facies has become a significant challenge. Application of automatic methods for seismic facies…
physics.geo-ph2019★ 1 cited
Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks
Vladimir Puzyrev, Andrei Swidinsky
Inversion of electromagnetic data finds applications in many areas of geophysics. The inverse problem is commonly solved with either deterministic optimization methods (such as the…
physics.geo-ph2018★ 297 cited
Deep learning electromagnetic inversion with convolutional neural networks
Vladimir Puzyrev
Geophysical inversion attempts to estimate the distribution of physical properties in the Earth's interior from observations collected at or above the surface. Inverse problems are…