Session

12.09.2017     16:30–18:30

Title:
MS38
Geophysical inversion and imaging
Type:
Ocean / estuarine / nearshore models
Room:

Inverse methods enable modelers to convert geophysical measurements into images of the subsurface.  They require accurate and efficient forward models for wave propagation that capture the physics of the data collection technique, and can be run multiple times in an inversion.  Even with good forward models imaging is challenging because the inverse process inherently produces non-unique results.  Recent advances in inverse methods have made geophysical imaging more stable.  This includes using multiple types of data to help constrain the inverse problem, whereby an image is created through joint inversion. The range of geophysical methods includes electrical resistivity, ground penetrating radar, and seismic waves.

12.09.2017
16:30–18:30

Title:
MS38
Geophysical inversion and imaging
Type:
Ocean / estuarine / nearshore models
Room:

Inverse methods enable modelers to convert geophysical measurements into images of the subsurface.  They require accurate and efficient forward models for wave propagation that capture the physics of the data collection technique, and can be run multiple times in an inversion.  Even with good forward models imaging is challenging because the inverse process inherently produces non-unique results.  Recent advances in inverse methods have made geophysical imaging more stable.  This includes using multiple types of data to help constrain the inverse problem, whereby an image is created through joint inversion. The range of geophysical methods includes electrical resistivity, ground penetrating radar, and seismic waves.


16:30–16:50
O196 Electrical resistivity imaging with subsurface boundary constraints
Jodi Mead (Boise, ID/US)


16:50–17:10
O197 Some fast algorithms for mathematical modeling and inversion in geophysical exploration
Jianliang Qian (East Lansing, MI/US)


17:10–17:30
O198 A look at surface wave dispersion imaging and deblurring
T. Dylan Mikesell (Boise, ID/US)


17:50–18:10
O200 Application of least square support vector machine and multivariate adaptive regression spline in long term prediction modeling of river water
Kulwinder S. Parmar (Hoshiarpur/IN)


18:10–18:30
O201 Free geodetic network analysis by selective bias control
Burkhard Schaffrin (Columbus, Ohio/US)