297 citations · 300 across the 4 of their papers we have counts for
4 papers
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…
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…
Deep convolutional autoencoder for cryptocurrency market analysis
Vladimir Puzyrev
This study attempts to analyze patterns in cryptocurrency markets using a special type of deep neural networks, namely a convolutional autoencoder. The method extracts the dominant…
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…