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Automatic detection of arrival time for noisy microseismic data using a transformed difference between multiwindow
Zhiyong Zhang1, Wen Cao2, Shuailong Wang2
1School of Mining, Liaoning Technical University, Fuxin, 123000, China. zhiyongzhang@hotmail.com.
Scientific Reports
|November 4, 2025
Summary
A new transformed difference between multiwindow energy ratios (TDER) method improves microseismic event detection. This approach enhances accuracy in low signal-to-noise ratio environments, outperforming traditional methods.
Area of Science:
- Geophysics
- Seismology
- Earthquake Engineering
Background:
- Accurate detection of microseismic event arrival times is crucial for microseismic monitoring.
- Challenges include low signal-to-noise ratios (SNR) and complex geological structures.
Purpose of the Study:
- To develop and validate a novel arrival time detection strategy for microseismic monitoring.
- To address the limitations of existing methods in low SNR conditions.
Main Methods:
- A modified difference between multiwindow energy ratios (DER') was used to characterize microseismic traces.
- A transformed DER' (TDER) method was developed, incorporating features from manual picking.
- The TDER method was validated using pseudo-synthetic and field data under various noise levels.
Main Results:
- The TDER method demonstrated robust performance in low SNR scenarios.
- It outperformed traditional STA/LTA and original DER methods in accuracy and detection success.
- Parameter sensitivity analysis confirmed the method's adaptability.
Conclusions:
- The TDER method offers a significant advancement in microseismic arrival time detection.
- It provides a reliable and easily implementable solution for challenging monitoring environments.
- The method is adaptive and nearly parameter-free, enhancing its practical applicability.
