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Integrated processing method for microseismic signal based on deep neural network
- Publication Year :
- 2021
-
Abstract
- SUMMARYDenoising and onset time picking of signals are essential before extracting source information from collected seismic/microseismic data. We proposed an advanced deep dual-tasking network (DDTN) that integrates these two procedures sequentially to achieve the optimal performance. Two homo-structured encoder–decoder networks with specially designed structures and parameters are connected in series for handling the denoising and detection of microseismic signals. Based on the similarity of data types, the output of the denoising network will be imported into the detection network to obtain labels for the signal duration. The procedures of denoising and duration detection can be completed in an integrated way, where the denoised signals can improve the accuracy of onset time picking. Results show that the method has a good performance for the denoising of microseismic signals that contain various types and intensities of noise. Compared with existing methods, DDTN removes the noise with a minor waveform distortion. It is ideal for recovering the microseismic signal while maintaining a good capacity for onset time picking when the signal-to-noise ratio is low. Based on that, the second network can detect a more accurate duration of microseismic signals and thus obtain more accurate onset time. The method has great potential to be extended to the study of exploration seismology and earthquakes.
- Subjects :
- Induced seismicity
Seismic noise
Computer science
Noise reduction
0211 other engineering and technologies
02 engineering and technology
010502 geochemistry & geophysics
01 natural sciences
Signal
Data type
Geochemistry and Petrology
Time-series analysis
Time series
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Neural networks
fuzzy logic
Microseism
Artificial neural network
business.industry
Noise (signal processing)
Time-series analysi
Pattern recognition
Neural network
Geophysics
Artificial intelligence
business
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....2ae9c47769a20211b0c4a9f459cba093