Abstract Details
Activity Number:
|
146
|
Type:
|
Invited
|
Date/Time:
|
Monday, August 4, 2014 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Section on Statistics in Imaging
|
Abstract #311042
|
|
Title:
|
Seeing the Unseen with Seismic Imaging
|
Author(s):
|
Terry Young*+
|
Companies:
|
Colorado School of Mines
|
Keywords:
|
seismic imaging ;
4-D imaging ;
inverse problems ;
uncertainty quantification
|
Abstract:
|
Inferences made from earthquake seismograms helped form our early concepts of Earth's interior. Today, we continue to learn from tomography and inversion based on passive recording of earthquakes, while we also investigate the shallow (a few meters) and deep (> 10 km) subsurface with active seismic methods motivated by archaeological studies, environmental concerns, engineering projects, and resource exploration. We use a blend of deterministic and statistical methodologies to acquire, process, and interpret seismic data. Imaging targets at 10 km depth to explore deep hydrocarbon reservoirs can generate enormous volumes of data, requiring processing on the world's largest computers. Large marine surveys can generate a terabyte of data a day and 100s of terabytes for the final data volume. In that context, research topics include 4-D ("time-lapse") imaging, full-azimuth imaging, full-waveform inversion, and joint inversion of multiple geophysical data types. Ideally, the end game consists of quantifying uncertainty and producing images estimating the probability of occurrence of desirable subsurface properties.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.