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Similarity learning for wells based on logging data
The essence of the interwell correlation constitutes an assessment of the similarities between geological profiles.
Neural Particle Image Velocimetry
In this work, we introduce a convolutional neural network adapted to the problem, namely Volumetric Correspondence Network (VCN) which was recently proposed for the end-to-end optical flow estimation in computer vision.
Learning a Generator Model from Terminal Bus Data
In this work we investigate approaches to reconstruct generator models from measurements available at the generator terminal bus using machine learning (ML) techniques.
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