Automatic Phase Picking From Microseismic Recordings Using Feature Extraction and Neural Network

Automatic Phase Picking From Microseismic Recordings Using Feature Extraction and Neural Network

High-accuracy microseismic phase picking is fundamental to microseismic signal processing. Phase picking methods based on deep learning show great potential dealing with low signal to noise ratio (SNR) data but need enormous training data. However, it's not easy to obtain a big size of field da...

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Bibliographic Details
Main Authors: Tianqi Jiang, Jing Zheng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Feature extraction
Gammatone feature
neural networks
phase picking
Online Access:https://ieeexplore.ieee.org/document/9043483/

Internet

https://ieeexplore.ieee.org/document/9043483/

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