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Related Experiment Video

Updated: Feb 22, 2026

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
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A New First Break Picking for Three-Component VSP Data Using Gesture Sensor and Polarization Analysis.

Huailiang Li1,2, Xianguo Tuo3,4, Tong Shen5,6

  • 1Fundamental Science on Nuclear Wastes and Environmental Safety Laboratory, Southwest University of Science and Technology, Mianyang 621010, China. leehl@swust.edu.cn.

Sensors (Basel, Switzerland)
|September 20, 2017
PubMed
Summary
This summary is machine-generated.

A new method improves first arrival time picking for 3D seismic data by using gesture detection and polarization analysis. This technique enhances accuracy for vertical seismic profiling (VSP) data, reducing errors in seismic exploration.

Keywords:
3C VSPAR-AICfirst break pickinggesture calibrationpolarization analysis

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Area of Science:

  • Geophysics
  • Seismic Exploration
  • Signal Processing

Background:

  • First break picking in three-component (3C) vertical seismic profiling (VSP) data is crucial for seismic exploration.
  • Random geophone orientation in boreholes leads to unreliable first break picking.
  • Existing methods like STA/LTA and AR-AIC have limitations in accuracy.

Purpose of the Study:

  • To propose a new method for accurate first break picking in 3C VSP data.
  • To address the challenge of random geophone orientation and improve data reliability.
  • To enhance the precision of first arrival time estimation.

Main Methods:

  • Integration of a gesture-measuring module in seismometers for precise geophone orientation data (azimuth and dip).
  • Calibration of 3C VSP data using gesture information to align components with vibrator orientation.
  • Application of polarization analysis (eigenvalue of covariance matrix) to constrain the autoregressive-Akaike information criterion (AR-AIC) picking algorithm.

Main Results:

  • Gesture calibration significantly improves 3C VSP waveform quality and data reliability.
  • The proposed method, combining gesture calibration and polarization analysis, substantially reduces first break picking errors compared to traditional methods.
  • Testing on synthesized low-SNR data shows picking errors between 0.75 ms and 1.5 ms.

Conclusions:

  • The proposed method offers a robust solution for accurate first break picking in 3C VSP data, even with random geophone orientations.
  • This approach enhances the reliability of seismic data processing and interpretation.
  • The method is suitable for field applications and improves seismic exploration efficiency.