Examine Reconnaissance Scanning of Underground Utilities in the ROW

Mapping of buried utilities using rigorous subsurface utility engineering (SUE) quality level B (QLB), as is frequently performed or recommended, can be costly. It can also be ineffective for unknown utilities (i.e., utilities that exist but for which no information is available). This is particularly common and problematic in areas of oil and gas operations. When undiscovered until construction, these unknown utilities may cause serious scheduling disruptions as well as higher construction costs, along with safety and environmental risks. There is a need for a faster, less expensive method of scanning the right of way (ROW) for these unknown utilities. This research shall evaluate, select and test the application of newly available geophysical measurement systems. These systems would allow quickly and cheaply detecting and mapping unknown pipelines or other utilities in the ROW. It compares the effectiveness and cost of deployment to standard QLB SUE and reports on technologies that are both technically and cost effective for identifying unknown utilities.


  • English


  • Status: Active
  • Funding: $1,135,881
  • Contract Numbers:


  • Sponsor Organizations:

    Texas Department of Transportation

    125 E. 11th Street
    Austin, TX  United States  78701-2483

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Managing Organizations:

    Texas Department of Transportation

    125 E. 11th Street
    Austin, TX  United States  78701-2483
  • Project Managers:

    Odell, Wade

  • Performing Organizations:

    Texas A&M Transportation Institute (TTI)

    400 Harvey Mitchell Parkway South
    Suite 300
    College Station, TX  United States  77845-4375

    Texas A&M University - Corpus Christi

    6300 Ocean Dr.
    Corpus Christi, Texas  United States  78412
  • Principal Investigators:

    Young, Gary

  • Start Date: 20210921
  • Expected Completion Date: 20240831
  • Actual Completion Date: 0
  • Source Data: https://library.ctr.utexas.edu/Presto/project=0-7127

Subject/Index Terms

Filing Info

  • Accession Number: 01784666
  • Record Type: Research project
  • Source Agency: Texas Department of Transportation
  • Contract Numbers: 0-7127
  • Files: RIP, STATEDOT
  • Created Date: Oct 13 2021 2:16PM