Deep Installation Method for Three-Component Seismic Sensors

Abstract

Vector-dependent seismic sensors provide advantages in discriminating and localizing source signals of interest. To achieve this, optimal sensor installation must ensure proper and known orientation and coupling with the surrounding medium, as these will directly affect recorded signals used in signal processing routines. Certain applications require installation of a three-component seismic sensor at several meters depth, achieved by installing sensors within a borehole; however, there are no standardized procedures for installation. A previous experiment created an installation procedure for a three-component seismic sensor in a hard rock environment. Applying the process from the prior three-component sensor experiment, four three-component seismic sensors were successfully installed at a 10-m depth in a soil environment. The sensor tests conducted afterwards confirmed that the sensors were operable, and the installation procedure was considered successful. This report describes the installation process, lessons learned, and recommendations for improvements in the process and applications to other installation environments. This information will ultimately be used as a basis for installations of deep three-component seismic or geophysical sensors and for creation of an installation procedure for a three-component seismic sensor that a non-expert can execute successfully with minimal training.

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Document Details

Document Type
Technical Report
Publication Date
Jan 28, 2019
Accession Number
AD1067420

Entities

People

  • Alanna P. Lester
  • Erin P. Simpson
  • Gabrielle J. Rigaud
  • Jennifer R. Picucci

Organizations

  • Engineer Research and Development Center

Tags

DTIC Thesaurus Topics

  • Boreholes
  • Couplings
  • Ecology
  • Engineering
  • Engineers
  • Environment
  • Groundwater
  • Lessons Learned
  • Materials
  • Measurement
  • Mechanics
  • Orientation (Direction)
  • Performance Tests
  • Soils
  • Structural Engineering
  • Test And Evaluation
  • Water Resources

Readers

  • Distributed Systems and Data Platform Development
  • Seismology
  • Software Engineering