CPC G06N 3/08 (2013.01) [G06F 16/245 (2019.01); G06F 16/248 (2019.01)] | 17 Claims |
1. A method comprising:
collecting a training log from a plurality of well logs;
creating a log window of a plurality of log windows from the training log;
creating a positive window from the log window;
creating a negative window from the training log; and
training a siamese neural network (SNN) that includes a first self attention neural network (ANN) and a duplicate self attention neural network with the log window, the positive window, and the negative window, to recognize a similarity between the log window and the positive window and to differentiate against the negative window, wherein training the siamese neural network comprises generating the first self attention neural network output of the first self attention neural network using a plurality of convolutional neural networks.
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