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A source-synchronous filter for uncorrelated receiver traces from a swept-frequency seismic source

Journal Article · · Geophysics
 [1];  [2];  [3]
  1. Univ. of Wisconsin, Madison, WI (United States). Geoscience; University of Wisconsin-Madison Department of Geoscience
  2. Univ. of Wisconsin, Madison, WI (United States). Geoscience
  3. Univ. of Wisconsin, Madison, WI (United States). Geological Engineering and Civil & Environmental Engineering
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We have developed a novel algorithm to reduce noise in signals obtained from swept-frequency sources by removing out-of-band external noise sources and distortion caused from unwanted harmonics. The algorithm is designed to condition nonstationary signals for which traditional frequency-domain methods for removing noise have been less effective. The source synchronous filter (SSF) is a time-varying narrow band filter, which is synchronized with the frequency of the source signal at all times. Because the bandwidth of the filter needs to account for the source-to-receiver propagation delay and the sweep rate, SSF works best with slow sweep rates and moveout-adjusted waveforms to compensate for source-receiver delays. The SSF algorithm was applied to data collected during a field test at the University of California Santa Barbara’s Garner Valley downhole array site in Southern California. At the site, a 45 kN shaker was mounted on top of a one-story structure and swept from 0 to 10 Hz and back over 60 s (producing useful seismic waves greater than 1.6 Hz). The seismic data were captured with small accelerometer and geophone arrays and with a distributed acoustic sensing array, which is a fiber-optic-based technique for the monitoring of elastic waves. The result of the application of SSF on the field data is a set of undistorted and uncorrelated traces that can be used in different applications, such as measuring phase velocities of surface waves or applying convolution operations with the encoder source function to obtain traveltimes. Lastly, the results from the SSF were used with a visual phase alignment tool to facilitate developing dispersion curves and as a prefilter to improve the interpretation of the data.
Research Organization:
Univ. of Wisconsin, Madison, WI (United States)
Sponsoring Organization:
National Science Foundation (NSF); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Office (EE-4G)
Grant/Contract Number:
EE0006760
OSTI ID:
1434006
Journal Information:
Geophysics, Journal Name: Geophysics Journal Issue: 5 Vol. 81; ISSN 0016-8033
Publisher:
Society of Exploration GeophysicistsCopyright Statement
Country of Publication:
United States
Language:
English

References (9)

Distributed acoustic sensing for reservoir monitoring with vertical seismic profiling: Distributed acoustic sensing (DAS) for reservoir monitoring with VSP journal May 2014
Field testing of modular borehole monitoring with simultaneous distributed acoustic sensing and geophone vertical seismic profiles at Citronelle, Alabama: Field testing of MBM journal November 2015
In situ Measurements of Shear-Wave Velocity in Sediments with Higher-Mode Rayleigh Waves* journal February 1987
Acquisition and processing of simultaneous vibroseis data: Acquisition and processing of simultaneous vibroseis data journal January 2010
Removing vibrator‐induced correlation artifacts by filtering in frequency‐uncorrelated time space journal July 1992
Frequency‐time decomposition of seismic data using wavelet‐based methods journal November 1995
Multichannel analysis of surface waves journal May 1999
Measuring velocity dispersion and attenuation in the exploration seismic frequency band journal March 2009
Distributed Acoustic Sensing – a new tool for seismic applications journal January 2014

Cited By (1)

Distributed acoustic sensing (DAS) field trials for near-surface geotechnical properties, earthquake seismology, and mine monitoring conference August 2018

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58 GEOSCIENCES