Signal Enhancement for Downhole Microseismic Data Using Improved Attention Mechanism Based on Autoencoder Network

Signal Enhancement for Downhole Microseismic Data Using Improved Attention Mechanism Based on Autoencoder Network

During the downhole microseismic monitoring for hydraulic fracturing, microseismic signals are constantly vulnerable to interference from different kinds of noise. Improving the signal-to-noise ratio of microseismic records is always beneficial for processing and interpreting microseismic data. Unli...

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Bibliographic Details
Main Authors: Wenxuan Ge, Qinghui Mao, Wei Zhou, Zhixian Gui, Peng Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Microseismic signal denoising
improved attention mechanism
autoencoder network
polarization analysis
first arrival picking
Online Access:https://ieeexplore.ieee.org/document/10721461/
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