Onset time automatic picking method of microseismic signal on the basis of time-recursive neural network
A recursive neural network, automatic picking technology, applied in neural learning methods, biological neural network models, seismic signal processing, etc.
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[0063] The principle of the present invention will be described below in conjunction with specific method implementation processes, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.
[0064] A time-recursive neural network-based microseismic signal arrival time picking method, the embodiment can be:
[0065] Step 1: Sampling the original data according to a fixed dimension, and the selected dimension is 1024.
[0066] Step 2: Manually pick up part of the data as the label information of the corresponding sample data. The specific method is: treat the microseismic event in each sample data as an effective signal, and the other part as noise. The label corresponding to the sample is a A binary vector with the same length as the sample data, the corresponding point of the effective signal part in the vector is set to 1, and the other parts are set to 0.
[0067] Step 3: Put the data and labels...
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