INEL cold test pit demonstration of improvements in information derived from non-intrusive geophysical methods over buried waste sites. Phase 2, Final report: Attachment
Under contract between US DOE Idaho National Engineering Laboratory (INEL) and the Blackhawk Geosciences Division of Coleman Research Corporation (BGD-CRC), geophysical investigations were conducted to improve the detection of buried wastes. Over the Cold Test Pit (CTP) at INEL, data were acquired with multiple sensors on a dense grid. Over the CTP the interpretations inferred from geophysical data are compared with the known placement of various waste forms in the pit. The geophysical sensors employed were magnetics, frequency and time domain electromagnetics, and ground penetrating radar. Also, because of the high data density acquired, filtering and other data processing and imaging techniques were tested. After completion and analysis of the survey and interpretation over the CTP, the second phase of investigation consisted of testing geophysical methods over the Idaho Chemical Processing Plant (ICPP). The sections of the ICPP surveyed are underlain by a complex network of buried utility lines of different dimensions and composition, and with placement at various depths up to 13 ft. Further complications included many metallic objects at the surface, such as buildings, reinforced concrete pads, and debris. Although the multiple geophysical sensor approach mapped many buried utilities, they mapped far from all utilities shown on the facility drawings. This report consists of data collected from these geophysical surveys over the ICPP.
- Research Organization:
- Coleman Energy and Environmental Systems, Golden, CO (United States). Blackhawk Geosciences Div.
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC07-93ID13215
- OSTI ID:
- 10147696
- Report Number(s):
- DOE/ID/13215-T2-Attach.; ON: DE94011115; BR: EW4020000/EW4050000
- Resource Relation:
- Other Information: PBD: 9 May 1994
- Country of Publication:
- United States
- Language:
- English
Similar Records
High-resolution subsurface imaging and neural network recognition: Non-intrusive buried substance location. Final report, January 26, 1997
High-resolution subsurface imaging and neural network recognition: Non-intrusive buried substance location. Final report