The invention relates to the technical field of microseismic
signal processing, in particular to a self-adaptive microseismic
signal noise reduction method. The method comprises the following steps: constructing a conditional denoising model for adaptively denoising a microseismic
signal, fusing a U-Net infrastructure, a Transform module and a characteristic
linear modulation module conditional modulation mechanism, constructing a
paired data set, preprocessing the
data set, then verifying the denoising performance of a CDU-Net model through a training and evaluation process, and optimizing the denoising performance of the CDU-Net model, so that the denoising performance of the CDU-Net model is improved. And explainable evidence is provided for the rationality of a
network architecture through visual analysis, and the contribution degree of each component in the model is analyzed through an
ablation experiment, so that the microseismic signal
noise reduction model which can adapt to the change of a complex geological environment and effectively suppress non-
stationary noise is realized through the mode, and the
noise reduction efficiency of the microseismic signal is improved. The problem of self-adaptive
noise reduction of micro-seismic signals in a complex geological environment is solved.