subject: Machine Learning subject: seismic behavior type: dataset
10.4231/TT0F-KH40
Douglas R Schmitt , Oumeng Zhang
07/23/2024
This archive contains the training dataset and the Python code to train a deep learning neural net that aims to extract separately P and S wave arrival transit times from synthetic common shot gathers (CSG) in a deviated borehole geometry.
deep learning Machine Learning Machine Learning and Geophysical Signals seismic behavior
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