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Spectral Analysis of Surface Waves to Detect Subsurface Voids
U.S. Patents
  • Payman Hajiani
  • Neil Lennart Anderson, Missouri University of Science and Technology
  • J. David Rogers, Missouri University of Science and Technology
Abstract

Systems and methods for detecting a subsurface cavity. A source applies a force to ground under inspection and a plurality of sensors coupled to the ground detect resulting surface waves. A processor is configured to extract phase and frequency components of the acquired seismic data, identify a phase shift in surface waves in the ground under inspection based on the extracted phase and frequency components, and determine one or more physical characteristics of a subsurface cavity based on the identified phase shift

Department(s)
Geosciences and Geological and Petroleum Engineering
Patent Application Number
US15/722,711
Patent Number
US20180100947A1
Document Type
Patent
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2017 The Curators of the University of Missouri, All rights reserved.
Publication Date
4-12-2018
Publication Date
12 Apr 2018
Citation Information
Payman Hajiani, Neil Lennart Anderson and J. David Rogers. "Spectral Analysis of Surface Waves to Detect Subsurface Voids" U.S. Patents (2018)
Available at: http://works.bepress.com/j-rogers/92/