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Презентация на тему Utilization of seismic and infrasound signals forcharacterizing mining explosions

Microseismic SystemSensors:  Uniaxial and triaxial accelerometers and/or geophones.Junction Box - (JB): A NEMA-4 enclosure that houses essential acquisition and communications equipment including the Paladin® digital seismic recorder which serves as the backbone of ESG’s microseismic data acquisition
UTILIZATION OF SEISMIC AND INFRASOUND SIGNALS FOR CHARACTERIZING MINING EXPLOSIONSPawlenko M. Microseismic SystemSensors:  Uniaxial and triaxial accelerometers and/or geophones.Junction Box - (JB): A NEMA-4 Figure 1: Peak Pg amplitudes observed at array element 03 of PDAR Figure 2: Peak P and Rg amplitudes observed at EYMN (Ely, Minnesota) Figure 3: Peak amplitudes of in-mine recordings at Morenci are compared to Figure 4: The three components of the equivalent mining explosion source model Figure 5: Spall mass (per hole) for the taconite hard rock explosions Figure 6: The mining explosion source model was used to produce synthetics Figure 7: The mining explosion source model was also used to compute Figure 8: Mining explosions from the hard rock copper mines in southeastern Figure 9: Infrasound (channels 1,2, 3) and seismic data (channel 4) from Figure 10: The details of the infrasound (channels 1-3) and seismic (channel CONCLUSIONS AND RECOMMENDATIONS Seismic 1. Peak seismic amplitudes from delay-fired mining explosions
Слайды презентации

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Слайд 3 Microseismic System

Sensors:  Uniaxial and triaxial accelerometers and/or geophones.
Junction

Microseismic SystemSensors:  Uniaxial and triaxial accelerometers and/or geophones.Junction Box - (JB): A

Box - (JB): A NEMA-4 enclosure that houses essential acquisition

and communications equipment including the Paladin® digital seismic recorder which serves as the backbone of ESG’s microseismic data acquisition system.
Ethernet communication: Fiber (underground) or radio (surface) for reliable, full waveform data transfer.
Acquisition PC: Acquisition Server, watchdog, optional large external storage drive and uninterruptable power supply (UPS).
Processing PC: Fast multi-core Processor and powerful dedicated video card.

Слайд 4 Figure 1: Peak Pg amplitudes observed at array

Figure 1: Peak Pg amplitudes observed at array element 03 of

element 03 of PDAR (360 km range) from contained

singlefired explosions, delay-fired cast blasts and delay-fired coal shots

Слайд 5 Figure 2: Peak P and Rg amplitudes observed

Figure 2: Peak P and Rg amplitudes observed at EYMN (Ely,

at EYMN (Ely, Minnesota) from taconite fragmentation explosions approximately 110

km to the southwest of the station.

Слайд 6 Figure 3: Peak amplitudes of in-mine recordings at

Figure 3: Peak amplitudes of in-mine recordings at Morenci are compared

Morenci are compared to total amount of explosives used

in copper fragmentation blasts (left). Peak Pg, Lg and Rg amplitudes observed at the regional station TUC plotted against total amount of explosives used in the Morenci copper fragmentation explosions (right).

Слайд 7 Figure 4: The three components of the equivalent

Figure 4: The three components of the equivalent mining explosion source

mining explosion source model are represented pictorially. They consist of

(a) the directly coupled energy from the contained explosion modeled as a Mueller-Murphy source function, (b) vertical spall due to the tensile failure of near-surface materials and (c) horizontal spall accompanying cast blasting when overburden is cast horizontally into a pit.

Слайд 8 Figure 5: Spall mass (per hole) for the

Figure 5: Spall mass (per hole) for the taconite hard rock

taconite hard rock explosions (open diamonds) and a single

coal cast blast (star) was estimated from blasting logs. These empirical estimates from mining explosions are compared to the Viecelli and Sobel spall mass scaling relations developed for underground nuclear explosions.

Слайд 9 Figure 6: The mining explosion source model was

Figure 6: The mining explosion source model was used to produce

used to produce synthetics for a distance and crustal

velocity model appropriate for EYMN. Synthetics were produced for a number of mining explosions of different average charge weight per borehole. Peak amplitudes of the synthetics are compared to the observations from the same explosions.

Слайд 10 Figure 7: The mining explosion source model was

Figure 7: The mining explosion source model was also used to

also used to compute synthetics for the large-scale cast

blasts. The focus in this modeling exercise is on the long period surface waves.

Слайд 11 Figure 8: Mining explosions from the hard rock

Figure 8: Mining explosions from the hard rock copper mines in

copper mines in southeastern Arizona generate infrasound signals as

exemplified by the records from DLIAR in Los Alamos (left). Ground truth for this event was provided by close-in seismic and acoustic records of the blast (left, inset). Frequency wave number estimates were used to make the back azimuth estimate shown to the right.

Слайд 12 Figure 9: Infrasound (channels 1,2, 3) and seismic

Figure 9: Infrasound (channels 1,2, 3) and seismic data (channel 4)

data (channel 4) from a seismo-acoustic station installed outside El

Paso, Texas (Ft. Hancock). Each horizontal section represents 10 minutes of data. This seismo-acoustic signal that extends for over 30 minutes represents the explosion and burning of a natural gas line in New Mexico

Слайд 13 Figure 10: The details of the infrasound (channels

Figure 10: The details of the infrasound (channels 1-3) and seismic

1-3) and seismic (channel 4) signals from the gas explosion

are shown to the left. These signals are compared to close-in seismic signals of the blast shown to the right (courtesy of T. Wallace). Both the close-in seismic and the infrasound signals suggest a complex source function for the initial explosion. The seismo-acoustic station at Ft. Hancock has porous and slow velocity alluvium at the surface that may be responsible for the strong coupling between the infrasound and seismic channels.

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