Transparent Earth/Seismic Imaging Team Steven D. Glaser, working group herdsman Towards the full Homestake Transparent Earth Observatory – installation and operation of a full complement of seismic, tilt, and EM instrument stations Steven Glaser, UC Berkeley, Bill Roggenthen, SDSMT, Lane Johnson, LBNL EM Passive Imaging as a Hazards Assessment Methodology Dante Fratta – University of Wisconsin-Madison Examining seismic sources from micro to macro through multi-sensor inversion Steven Glaser, UC Berkeley, Lane Johnson, LBNL, Bill Roggenthen, SDSMT Active source experiment to study anisotropy Gary Pavlis, Indiana University Installation of the Rapid City long-period station at the Homestake Lind S. Gee, scientist-in- charge USGS Albuquerque Stress Monitoring with high precision seismic travel time measurements Fenglin Niu, Rice U; Paul Silver Carnegie Institute, Tom Daley, LBNL Rock motion observation and mapping for the LIGO Experiment Riccardo DeSalvo, CalTech; Vik Mandic, UMN 3D, Time-Lapse Seismic Tomography for Imaging Overburden Changes due to Dewatering Erik Westman, Virginia Tech Advanced Imaging of Gravity Variations and Rock Structures Don Pool, USGS, Phoenix; Joe Wang, LBNL Understanding the complexity of the crustal Earth system Christian Klose, Columbia University Prototype Broadband Array Gary Pavlis, 3D resistivity & self- Burke Minsley; US
Towards a Transparent Earth. S.D. Glaser, UC, Berkeley W. Roggenthen , SDSMT L.R. Johnson, E.L. Majer , LBNL. Install an acoustic “microscope” surrounding the Homestake workings – 1 st NSF funded DUSEL research. signal. Deep is Quiet, and Quiet is Good. noise. - PowerPoint PPT Presentation
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Transparent Earth/Seismic Imaging TeamSteven D. Glaser, working group herdsmanTowards the full Homestake Transparent
Earth Observatory – installation and operation of a full complement of seismic, tilt, and EM instrument stations
Steven Glaser, UC Berkeley, Bill Roggenthen, SDSMT, Lane Johnson, LBNL
EM Passive Imaging as a Hazards Assessment Methodology
Dante Fratta – University of Wisconsin-Madison
Examining seismic sources from micro to macro through multi-sensor inversion
Steven Glaser, UC Berkeley, Lane Johnson, LBNL, Bill Roggenthen, SDSMT
Active source experiment to study anisotropy
Gary Pavlis, Indiana University
Installation of the Rapid City long-period station at the Homestake
Lind S. Gee, scientist-in-charge USGS Albuquerque
Stress Monitoring with high precision seismic travel time measurements
Fenglin Niu, Rice U; Paul Silver Carnegie Institute, Tom Daley, LBNL
Rock motion observation and mapping for the LIGO Experiment
Riccardo DeSalvo, CalTech; Vik Mandic, UMN
3D, Time-Lapse Seismic Tomography for Imaging Overburden Changes due to Dewatering
Erik Westman, Virginia Tech
Advanced Imaging of Gravity Variations and Rock Structures
Don Pool, USGS, Phoenix; Joe Wang, LBNL
Understanding the complexity of the crustal Earth system
Christian Klose, Columbia University
Prototype Broadband Array for DUSEL Gary Pavlis, Indiana University
3D resistivity & self-potential monitoring of the mine dewatering phase
Burke Minsley; US Geological Survey, Denver
Advanced Sensing to Track Trapped Persons and to Maintain Underground Communications
Tom Regan, Sanford Lab at Homestake; Steven D. Glaser, UCB; Joe Wang, LBNL
3-D passive electromagnetics for structural imaging, anisotropy, and methodological studies
Paul Bedrosian, US Geological Survey, Denver
1) Develop deep in-situ seismic observatory for rapid imaging of dynamical geo-processes at depth.
2) Provide rock mass dynamics and safety information to miners and tunnelers
3) Provide an infrastructure for all earth scientists
4) Improve ability to detect and characterize underground structures and activity
Towards a Transparent Earth
Install an acoustic “microscope” surrounding the Homestake workings – 1st NSF funded DUSEL research
The time-varying stress field at depth is perhaps the most crucial parameter for understanding the earthquake triggering process.The Speed of Seismic Waves is a Measures of Stress in Rocks. This holds at seismogenic depth and can be used as a “stress meter”.
Fenglin Niu Rice UniversityP. G. Silver, Carnegie Institution of WashingtonT. Daley, Lawrence Berkeley National Lab
Why at Homestake?Stress changes at seismogenic depth could be more difficult to observe with conventional surface instruments.Temperature variation at surface is a large noise source in the electronics.Deep observation could avoid surface environmental effects, such as precipitation.Need a deep natural experiment site that bridges laboratory study and large scale seismic experiment.
Catastrophic failure extends to all aspects of rock mechanics including tunnels, mines, rock slopes, earthquakes, waste repositories, and bridge and dam abutments
Accomplishing the ultimate goal of predicting these catastrophic failures will result in significantly reduced fatalities, lowered construction costs, and increased environmental protection.Rock failures are associated with the redistribution and concentration of stresses from mine excavations
To predict rock failure, monitor the redistribution of stresses within the rock.
Use tomograms of seismic stress field to image redistribution of stress
Shown clearly in the laboratory but limited testing at the field scale.
This experiment will enhance miner’s life safetyThis experiment will put the method of imaging stress-induced changes within rock masses on a sound theoretical and practical basis. It requires a DUSEL, as deep, long-term, dedicated access is not available at current underground tests sites.
Multiple pillars (of differing dimension) constructed at
multiple depths; may include discontinuities
Stress concentration prior to pillar failure caused by slip along a discontinuity or by overburden stress (in a solid rock mass)
Seismic tomography used to image stress-induced density contrasts within rock
mass, allowing stress level to be determined and failure projected
TOMOGRAPHIC IMAGING OF STRESS-REDISTRIBUTION FOR PREDICTION OF CATASTROPHIC ROCK MASS FAILURE
Erik C. Westman , Virginia Tech
Fracto-EM Emissions in Rocks
ü E
B
Charge acceleration Piezoelectricity=0
P=0 P
Conduction Modulation
- - - - - -
+ + + + + VA
VB
Mech. wave EM-wave
Charge separationF
F
i(t)
EM emission
Fracture current Fracture-Atm. InteractionF
F
E(t)
tDiffusion of electrically neutral gas
EM emissions
DUSEL provides unique research opportunity for the development of a new engineering monitoring system based on the complementary interpretation of microseismic and EM emissions in a quiet electrical environment – Homestake mine
Microseismicity sensor network Antennae
network
Fracto-emission generating fault
Dante Fratta, University of Wisconsin-Madison
Geoinformation processing of multi‐dimensional spatial monitoring data
Monitoring the Earth's system from a global perspective.
Classify multi-dimensional and complex data
Interpret & Predict in areas of interest
- zones of weakness- seismic events- zones of fluid migrations
Applied data interpretation methods are based on Artificial Intelligence