Recorder article on PSDM model buiding with CNNs
Written by TBIadmin
Cameron, G.H., 2023, PSDM velocity model building using a Deep Convolutional Neural Network, CSEG Recorder.
Building PSDM velocity models in complex structure land environments is difficult. A machine-learning method using a convolutional neural network (CNN) incorporates both human and artificial intelligence to overcome these difficulties. The supervised learning process used a large representative dataset to train the CNN, learning the convolutional weights that best map the input seismic shot records to the target velocity model. With careful consideration of both training data and network architecture, the CNN can accurately predict velocity models on both synthetic and field data.