It is not uncommon for underground coal mining to be conducted in the proximity of abandoned underground mines that are prone to accumulate water, methane or other toxic gases, and are often either poorly mapped or without good surface survey control. Mining into such abandoned voids poses a great safety risk to personnel, equipment, and production from inundation or toxic/explosive gas release. Often, surface or underground drilling is employed to detect the mine void and evaluate the hazards, sometimes with disastrous results. The use of guided waves within coal seams can be utilized to locate voids, faults, and abrupt seam thickness changes. The use of seam waves for void detection and mine planning has tremendous value and use.
To demonstrate the feasibility of abandoned mine void detection utilizing coal seam seismic waves, two in-seam reflection surveys and a transmission survey were acquired at an abandoned underground mine near Hurley, Virginia. Numerical modeling of the seam waves was examined as well. The Airy phase was observed in the synthetic and real field data. Dispersion analysis of the field data shows reasonable agreement with the dispersion characteristics of the synthetic data. Using standard commonly available seismic reflection processing tools, a known and well-mapped mine was detected and located.
Detection of the mine with both surveys indicates that ``exploratory'' drilling can be replaced by noninvasive seismic methods. Location, however, was not good enough to replace drilling entirely. Hence seismic methods can be used for detection, but if a potential void is detected, focused drilling should be applied for accurate mapping and circumvention of potentially hazardous areas. / Master of Science
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/32700 |
| Date | 12 June 2006 |
| Creators | Yancey, Daniel Jackson |
| Contributors | Geosciences, Imhof, Matthias G., Snoke, J. Arthur, Hole, John A. |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
| Relation | dyancey.pdf |
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