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Locating single-point sources from arrival times containing large picking errors (LPEs): the virtual field

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The virtual field optimization method (VFOM) improves microseismic monitoring by accurately locating single-point sources despite large picking errors in arrival times. This new approach enhances the stability and reliability of seismic event detection systems.

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Area of Science:

  • Geophysics
  • Seismology
  • Signal Processing

Background:

  • Microseismic monitoring relies on accurate arrival time picking for timely and stable event location.
  • Automated picking techniques often introduce large picking errors (LPEs), compromising location accuracy and system stability.

Purpose of the Study:

  • To introduce a novel method, the virtual field optimization method (VFOM), for precise single-point source localization.
  • To address and overcome the challenge of large picking errors in seismic arrival time data.

Main Methods:

  • The VFOM optimizes a continuous, virtual objective function to find the common intersection of hyperboloids.
  • It utilizes sensor pairs to determine the intersection, differing from traditional least residual methods.
  • The method is validated through numerical simulations and in-situ blast data.

Main Results:

  • VFOM demonstrates superior precision and stability in source localization compared to traditional methods when LPEs are present.
  • Analysis reveals VFOM's LPE-tolerant mechanism, velocity sensitivity, and optimal stopping criteria.
  • The method is also applicable to acoustic source localization via passive techniques.

Conclusions:

  • The VFOM offers a robust solution for microseismic source localization in the presence of picking errors.
  • Its adaptability extends to passive acoustic monitoring, broadening its application scope.
  • This method enhances the reliability of seismic and acoustic monitoring systems.