NS22A:
The Curse of Dimensionality in the Age of Big Data: Challenges in Near Surface Geophysical Exploration


Session ID#: 8430

Session Description:
Continuing advances in data-acquisition technology and computational resources are enabling higher resolution 3D imaging and time-lapse monitoring of the subsurface, yet the so-called 'Curse of Dimensionality' remains a major challenge in near surface geophysics. This session welcomes papers on strategies to address problems where models are poorly constrained by data. We are particularly interested in contributions on optimal survey design, novel parameterizations, and (or) stochastic inversion. This session is in collaboration with the Society of Exploration Geophysicists (SEG) and will host the 2015 Near Surface SEG Honorary Lecture.
Primary Convener:  Frederick David Day-Lewis, USGS, Storrs, CT, United States
Convener:  Georgios P Tsoflias, University of Kansas, Department of Geology, Lawrence, United States
Chairs:  Frederick David Day-Lewis, USGS, Storrs, CT, United States and Georgios P Tsoflias, University of Kansas, Department of Geology, Lawrence, United States
OSPA Liaison:  Georgios P Tsoflias, University of Kansas, Department of Geology, Lawrence, United States

Cross-Listed:
  • H - Hydrology
  • S - Seismology
Index Terms:

0902 Computational methods: seismic [EXPLORATION GEOPHYSICS]
0910 Data processing [EXPLORATION GEOPHYSICS]
3260 Inverse theory [MATHEMATICAL GEOPHYSICS]
3275 Uncertainty quantification [MATHEMATICAL GEOPHYSICS]

Abstracts Submitted to this Session:

The Course of Dimensionality in Exploring the Subsurface (Invited) (67846)
Hansruedi Maurer, Institute of Geophysics, ETH Zurich, Zurich, Switzerland
Three-dimensional ERT imaging by the geostatistical approach (Invited) (66139)
Peter K Kitanidis, Stanford University, Department of Civil and Environmental Engineering, Stanford, CA, United States and Jonghyun Harry Lee, Stanford University, Stanford, CA, United States
Model structural uncertainty quantification and hydrogeophysical data integration using airborne electromagnetic data (Invited) (58917)
Burke J Minsley, USGS, Geology, Geophysics, and Geochemistry Science Center, Denver, United States, Nikolaj Kruse Christensen, Aarhus University, Aarhus, Denmark, Steen Christensen, Aarhus University, Aarhus C, Denmark and Alan Yusen Ley-Cooper, CSIRO, Perth, Australia
Incorporating prior information into static and time-lapse inversions using iteratively reweighted least squares (Invited) (64917)
Tim C Johnson, Pacific Northwest National Laboratory, Richland, United States
Moment-Based Inversions for Electrical Resistivity Tomography - A Problem-Specific Approach to Reducing the Dimensionality (86159)
Franklin W Koch, University of Calgary, Geophysics, Calgary, AB, Canada and Adam Pidlisecky, University of Calgary, Calgary, AB, Canada
Geostatistical methods for rock mass quality prediction using borehole and geophysical survey data (76967)
Jianqin Chen1, Yoram Rubin2, Jon Edward Sege2, Xiaojun Li1 and Zhu Hehua3, (1)Tongji University, Department of Geotechnical Engineering College of Civil Engineering, Shanghai, China, (2)University of California Berkeley, Berkeley, CA, United States, (3)Tongji University, Shanghai, China

See more of: Near Surface Geophysics