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_REVISION - C1996083 (2)
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_REVISION - C1996083 (2)
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Entry Properties
Last modified
11/17/2020 1:46:57 PM
Creation date
2/24/2010 11:03:22 AM
Metadata
Fields
Template:
DRMS Permit Index
Permit No
C1996083
IBM Index Class Name
REVISION
Doc Name
Seismic Event Data Acquistition and Processing Distribition and Coordination Across PC-Based Network
Type & Sequence
PR10
Media Type
D
Archive
No
Tags
DRMS Re-OCR
Description:
Signifies Re-OCR Process Performed
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Fully automated operation was another major design goal. A specific requirement was to <br /> determine seismic event locations,occurrence times,and magnitudes accurately and rapidly and to <br /> superimpose the data on a mine map without human interaction (e.g., manual picking of seismic <br /> P-wave arrival times). This led to the decision to use seismic arrays with a modest number of <br /> single-axis (e.g., vertical component) sensors instead of arrays with a fewer number of triaxial <br /> sensors.While shear-(S)wave arrivals help constrain seismic event location solutions,and triaxial <br /> seismic data allow S-wave arrivals to be picked, it is more difficult to achieve a high degree of <br /> accuracy in the S-wave arrival pick in software than it is the first-arriving P-wave. Thus, for high- <br /> volume, fully automatic seismic data processing, no attempt was made to pick and use S-wave <br /> arrival times in the event location process. <br /> It was also important to minimize the difficulty and expense of sensor installation; therefore, <br /> most sensors were attached directly to roof and rib surfaces without the use of boreholes. <br /> Although sensor placement in boreholes reduces the influence of mine openings and fractured <br /> rock surrounding these openings, which is a requirement for more sophisticated, full-waveform <br /> inversions and related analyses (e.g., Mendecki, 1990), these influences typically are not <br /> significant sources of error in elementary event location solutions(Swanson et al., 1992). <br /> The seismic data acquisition and processing software made available through the International <br /> Association of Seismology and Physics of the Earth's Interior(IASPEI) (Lee, 1994)was selected <br /> to serve as the initial basic building block for data acquisition in order to take advantage of as <br /> much freely available software as possible. A common thread to much of the IASPEI software is <br /> the use of the Seismic Unified Data System (SUDS) data format based on C language data <br /> structures (Ward, 1989; Banfill, 1996). While providing a starting point for collecting mine-wide <br /> seismic data, much of the IASPEI processing software is geared toward larger-scale earthquake <br /> networks and is not directly applicable to smaller-scale mining. <br /> SYSTEM HARDWARE <br /> Sensors <br /> Both high-sensitivity accelerometers (40 V/g) and inexpensive 4.5-Hz, moving-coil geophones <br /> with variable gain amplifiers are used in the sensor arrays. Sensors are anchored directly to <br /> competent roof or rib surfaces or epoxied to the end of tensioned roof bolts. On the surface above <br /> a mine,most geophone sensors are pressed into the soil bottom of a shallow hole. <br /> Data Acquisition Methods <br /> Several different types of digitizing systems are used. With the first kind, analog seismic signals <br /> are transmitted via cable to a commercial off-the-shelf A/D converter attached to a local data <br /> acquisition PC. In the second type, seismic signals are digitized near the sensors, and the data are <br /> transmitted digitally to a data acquisition PC on the network. In the third approach, low-power <br /> PC 104 format computers with A/D converters collect signals and transmit the data over a wireless <br /> local area network (LAN). In each approach, data acquisition PC's are dedicated solely to <br /> collecting waveform files either continuously or in a triggered event-capture mode. <br /> (1)Digitizing signals at a centralized network computer. The PC-based A/D conversion boards <br /> used in this part of the development effort are all commercially available(Table 1). Sampling rates <br /> are typically between 500 and 2,500 samples per second per channel for systems with 4 to 64 <br /> channels. <br />
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