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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

This summary is machine-generated.

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.

Keywords:

Automatic picking Detection method Microseismic monitoring Multiwindow energy ratios Unstable rock face

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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.