Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/32271
Title: Deep installation method for three-component seismic sensors
Authors: Lester, Alanna P.
Simpson, Erin P.
Rigaud, Gabrielle J.
Picucci, Jennifer R.
Keywords: Geophones
Sensors
Soils
Seismic
Point sensors
Installation
Geophysical surveys
Seismology--Instruments
Seismometers
Scientific apparatus and instruments
Publisher: Geotechnical and Structures Laboratory (U.S.)
Cold Regions Research and Engineering Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: Technical Report (Engineer Research and Development Center (U.S.)) ; no. ERDC TR-19-2
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.
Description: Technical Report
Gov't Doc #: ERDC TR-19-2
Rights: Approved for Public Release; Distribution is Unlimited
URI: https://hdl.handle.net/11681/32271
http://dx.doi.org/10.21079/11681/32271
Size: 41 pages / 8.485 Mb
Types of Materials: PDF/A
Appears in Collections:Technical Report

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