High-resolution subsurface imaging and neural network recognition: Non-intrusive buried substance location. Final report
A high-frequency, high-resolution electromagnetic (EM) imaging system has been developed for environmental geophysics surveys. Some key features of this system include: (1) rapid surveying to allow dense spatial sampling over a large area, (2) high-accuracy measurements which are used to produce a high-resolution image of the subsurface, (3) measurements which have excellent signal-to-noise ratio over a wide bandwidth (31 kHz to 32 MHz), (4) elimination of electric-field interference at high frequencies, (5) large-scale physical modeling to produce accurate theoretical responses over targets of interest in environmental geophysics surveys, (6) rapid neural network interpretation at the field site, and (7) visualization of complex structures during the survey. Four major experiments were conducted with the system: (1) Data were collected for several targets in our physical modeling facility. (2) The authors tested the system over targets buried in soil. (3) The authors conducted an extensive survey at the Idaho National Engineering Laboratory (INEL) Cold Test Pit (CTP). The location of the buried waste, category of waste, and thickness of the clay cap were successfully mapped. (4) The authors ran surveys over the acid pit at INEL. This was an operational survey over a hot site. The interpreted low-resistivity region correlated closely with the known extent of the acid pit.
- Research Organization:
- Arizona Univ., Tucson, AZ (US). Dept. of Mining and Geological Engineering (US)
- Sponsoring Organization:
- USDOE Office of Environmental Restoration and Waste Management, Washington, DC (US)
- DOE Contract Number:
- AC21-92MC29101
- OSTI ID:
- 567468
- Report Number(s):
- DOE/MC/29101-5742; ON: DE97005448; TRN: US0201598
- Resource Relation:
- Other Information: Supercedes report DE97005448; PBD: 26 Jan 1997; PBD: 26 Jan 1997
- Country of Publication:
- United States
- Language:
- English
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