High-Resolution Subsurface Imaging and Neural Network Recognition: Non-Intrusive Buried Substance Location. Final Report (open access)

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 …
Date: January 26, 1997
Creator: Sternberg, B. K. & Poulton, M. M.
System: The UNT Digital Library
Precombustion removal of hazardous air pollutant precursors. Quarterly technical progress report, October 1, 1996--December 31, 1996 (open access)

Precombustion removal of hazardous air pollutant precursors. Quarterly technical progress report, October 1, 1996--December 31, 1996

This project involves the development of an optimized, bench-scale processing circuit capable of efficiently removing trace elements from run-of-mine coals. The optimized circuit will be developed using characterization data obtained from detailed washability suicides and release analyses tests conducted with several eastern U.S. coals. The optimized circuit will incorporate a variety of conventional and advanced coal cleaning processes which are believed to be the most cost-effective and commercially viable. The coal products from the optimized circuit will be further treated with complexing agents specifically designed to extract organometallic trace elements that are difficult to remove by physical cleaning operations. Finally, innovative bioremediation schemes will be investigated as a means of controlling the release of trace elements from the process waste streams. Emphasis has been placed on the development of a processing circuit which (i) maximizes the rejection of trace elements, (ii) minimizes the production of coal fines which are costly to process and less marketable, and (iii) minimizes the downstream impacts of the process waste streams on the environment.
Date: January 26, 1997
Creator: Luttrell, G. H.; Adel, G. T. & Yoon, R. H.
System: The UNT Digital Library
Integration of Remotely-Sensed Geobotanical and Structural Methods for Hydrocarbon Exploration in West-Central West Virginia (open access)

Integration of Remotely-Sensed Geobotanical and Structural Methods for Hydrocarbon Exploration in West-Central West Virginia

This report covers the first of the two years covered in the DOE grant to investigate structural and geobotanical features of hydrocarbon reservoirs in western West Virginia. The reader is referred to the three previous Quarterly reports for greater detail on tasks originally described in those reports. The progress of the project will be discussed with reference to the tasks identified for the project.
Date: January 26, 1997
Creator: unknown
System: The UNT Digital Library
Numerical solution of plasma fluid equations using locally refined grids (open access)

Numerical solution of plasma fluid equations using locally refined grids

This paper describes a numerical method for the solution of plasma fluid equations on block-structured, locally refined grids. The plasma under consideration is typical of those used for the processing of semiconductors. The governing equations consist of a drift-diffusion model of the electrons and an isothermal model of the ions coupled by Poisson's equation. A discretization of the equations is given for a uniform spatial grid, and a time-split integration scheme is developed. The algorithm is then extended to accommodate locally refined grids. This extension involves the advancement of the discrete system on a hierarchy of levels, each of which represents a degree of refinement, together with synchronization steps to ensure consistency across levels. A brief discussion of a software implementation is followed by a presentation of numerical results.
Date: January 26, 1997
Creator: Colella, P., LLNL
System: The UNT Digital Library