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Application of Linearization and Approximation01:29

Application of Linearization and Approximation

A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...

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Blast-Assisted Subsurface Characterisation Using a Novel Distributed Acoustic Sensing Setup Based on Geometric

Sabahat Shaheen1, Konstantin Hicke1, Katerina Krebber1

  • 1Bundesanstalt für Materialforschung und -Prüfung (BAM), Unter den Eichen 87, 12205 Berlin, Germany.

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This study introduces a new seismic monitoring system using geometric phases for Earth

Keywords:
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Area of Science:

  • Geophysics
  • Seismology
  • Optical Sensing

Background:

  • Characterizing Earth's subsurface is crucial for understanding geological processes.
  • Traditional seismic monitoring methods can be limited by noise and post-processing requirements.

Purpose of the Study:

  • To present a novel Distributed Acoustic Sensing (DAS) setup for Earth's subsurface characterization.
  • To optimize the spatial resolution of the proposed DAS system.
  • To determine shear wave velocity profiles of the Earth's crust.

Main Methods:

  • Utilizing geometric phases in coherent heterodyne detection for DAS.
  • Generating surface waves with controlled explosive blasts.
  • Employing a 10 km dark fiber link to record strain signals.
  • Applying an optimized seismic interferometric technique for dispersion analysis.
  • Using an optimized evolutionary algorithm to determine shear wave velocities.

Main Results:

  • Achieved spike-free and low-noise strain data, minimizing post-processing.
  • Demonstrated the potential for real-time seismic monitoring.
  • Successfully determined the depth profile of shear wave velocities in the Earth's crust.

Conclusions:

  • The novel DAS setup offers a promising solution for subsurface characterization.
  • The optimized system provides high-quality seismic data suitable for real-time applications.
  • This technique advances our ability to probe the Earth's crustal structure.