Examine Reconnaissance Scanning of Underground Utilities in the ROW
项目名称: Examine Reconnaissance Scanning of Underground Utilities in the ROW
摘要: 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.
状态: Active
资金: $679,599.00
资助组织: Texas Department of Transportation<==>Federal Highway Administration
项目负责人: Pridgen, Shelley
执行机构: Texas A&M Transportation Institute (TTI)<==>Texas A&M University - Corpus Christi
开始时间: 20210921
预计完成日期: 20230800
主题领域: Construction;Geotechnology
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