NS41A:
Frontiers of Uncertainty Estimation in Geophysical Inversion II Posters

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Session ID#: 12434

Session Description:
Geophysicists routinely apply inversion methods to produce information about the spatial and temporal variability of earth properties that are described by parameters of a model. Such models are often used to shed light on various earth processes of interest. However, incomplete and noisy data, subjective processing and inversion choices, approximate theory and nonlinear physics lead to model uncertainty. Therefore, inferring robust conclusions from geophysical models requires rigorous uncertainty assessment. Probabilistic descriptions of geophysical models that are consistent with the observed data are of great practical value across various disciplines. For instance, how certain are we of a geophysically inferred post-earthquake tsunami, buried unexploded ordnance, economic resource or chemical contaminant? To answer such questions, inversion methods that make quantitative choices of both model physics and parameterization are required. We invite submissions on theoretical advances and practical applications of uncertainty estimation in inversion across all fields of solid earth geophysics.
Primary Convener:  Anandaroop Ray, Chevron Corporation Houston, Geophysical R&D, Houston, TX, United States
Conveners:  Niklas Linde, University of Lausanne, Lausanne, Switzerland, Jan Dettmer, Australian National University, Canberra, Australia and Kerry Key, Institute of Geophysics and Planetary Physics La Jolla, La Jolla, CA, United States
Chairs:  Niklas Linde, University of Lausanne, Lausanne, Switzerland and Jan Dettmer, Australian National University, Canberra, Australia
OSPA Liaison:  Anandaroop Ray, Chevron Corporation Houston, Geophysical R&D, Houston, TX, United States
Co-Organized with:
Seismology, Geomagnetism, Paleomagnetism and Electromagnetism, Hydrology, and Seismology

Proposed Co-Organized Session with:
  • GP - Geomagnetism and Paleomagnetism
  • H - Hydrology
  • S - Seismology
Index Terms:

0550 Model verification and validation [COMPUTATIONAL GEOPHYSICS]
0555 Neural networks, fuzzy logic, machine learning [COMPUTATIONAL GEOPHYSICS]
3260 Inverse theory [MATHEMATICAL GEOPHYSICS]
3275 Uncertainty quantification [MATHEMATICAL GEOPHYSICS]

Abstracts Submitted to this Session:

Constraining Mass Anomalies Using Trans-dimensional Gravity Inversions (124919)
Kris Izquierdo1, Laurent Montesi2 and Vedran Lekic2, (1)University of Maryland College Park, College Park, United States, (2)University of Maryland College Park, College Park, MD, United States
Global Nonlinear Optimization for the Interpretation of Magnetic Anomalies Over Idealized Geological Bodies for Ore Exploration – An Insight about Uncertainty (123358)
Arkoprovo Biswas, Wadia Institute of Himalayan Geology, Geophysics, Dehradun, India
Joint two dimensional inversion of gravity and magnetotelluric data using correspondence maps (186354)
Jonathan Carrillo Lopez, Center for Scientific Research and Higher Education at Ensenada, Applied Geophysics, Ensenada, Mexico and Luis A Gallardo, Center for Scientific Research and Higher Education at Ensenada, Ensenada, Mexico
2D Unstructured Grid Based Constrained Inversion of Magnetic Data Using Fuzzy C Means Clustering and Lithology Classification (147890)
Vibhu Kumar, Indian Institute of Technology Kharagpur, Kharagpur, India, Anand Singh, Indian Institute of Technology Kharagpur, Department of Geology and Geophysics, Kharagpur, India and Shashi Prakash Sharma, Indian Institute of Technology kharagpur, Department of Geology and Geophysics, Kharagpur, India
Non-linear Inversion of Probability Density Functions of Surface Wave Dispersion (143847)
Éric Beucler1, Melanie Drilleau2, Ianis Gaudot3, Antoine Mocquet1, Thomas Bodin4 and Philippe Henri Lognonné2, (1)University of Nantes, Nantes, France, (2)Université Paris Cité, Institut de physique du globe de Paris, CNRS, Paris, France, (3)LPGN Laboratoire de Planétologie et Géodynamique de Nantes, Nantes Cedex 03, France, (4)LGL-TPE, Université Claude Bernard, Lyon1, CNRS, ENS, Villeurbanne, France
A new Bayesian formulation to locate earthquakes from body-wave direction of arrival (138590)
Emmanuel Gaucher1, Alexandrine Gesret2 and Mark Noble2, (1)Karlsruhe Institute of Technology, Institute of Applied Geosciences (AGW), Karlsruhe, Germany, (2)Mines ParisTech, Geosciences, Paris, France
Joint Bayesian inference for near-surface explosion yield (169730)
Vera Bulaevskaya, Sean Ricardo Ford, Abelardo L Ramirez and Dr. Arthur J Rodgers, PhD, Lawrence Livermore National Laboratory, Livermore, CA, United States
Analysis of Interferometric Synthetic Aperture Radar Phase Data at Brady Hot Springs, Nevada, USA Using Prior Information (134641)
Elena C. Reinisch, University of Wisconsin-Madison, Madison, WI, United States, Tabrez Ali, AIR Worldwide Corporation, Boston, MA, United States, Michael A Cardiff, University of Wisconsin Madison, Geoscience, Madison, WI, United States, Christina Morency, Lawrence Livermore National Laboratory, Livermore, CA, United States, Corne Kreemer, Nevada Bureau of Mines and Geology, University of Nevada - Reno, Reno, NV, United States, Kurt L Feigl, University of Wisconsin, Geoscience, Madison, United States and PoroTomo Team, University of Wisconsin-Madison, Geoscience, Madison, WI, United States
Improved Cluster Method Applied to the InSAR data of the 2007 Piton de la Fournaise eruption (172433)
Aurélien Augier1,2, Valerie Cayol3,4, Jean-Luc Froger5 and Sarah Menassian5,6, (1)Laboratoire Magmas et Volcans, Université Blaise Pascal, CNRS UMR 6524, IRD R 163, Clermont-Ferrand Cedex, France, (2)Ecole Normale Supérieure Lyon, Institut Français d'Education, Lyon, France, (3)Université Clermont Auvergne, CNRS, IRD, OPGC, Laboratoire Magmas et Volcans, Clermont-Ferrand, France, (4)Lyon University, Laboratoire Magmas et Volcans, UJM-UBP-CNRS-IRD, St Etienne, France, (5)Laboratoire Magmas et Volcans, Université Blaise Pascal, CNRS UMR 6524, IRD R 163, OPGC, Clermont-Ferrand Cedex, France, (6)Michigan Technological University, Geological and Mining Engineering and Sciences, Houghton, MI, United States
Sloppy inversion and optimal experiment design for last glacial maximum Barents Sea Ice Sheet configuration (161235)
Samuel Benjamin Kachuck, Cornell University, Ithaca, United States and Lawrence M Cathles, Cornell University, Ithaca, NY, United States
Rapid uncertainty estimation in finite fault inversion: Case study for the 2015, Mw 8.3 Illapel earthquake (199635)
Roberto F. Benavente, National Research Center for Integrated Disaster Management (RCINDIM/CIGIDEN), Santiago, Chile, Phil R Cummins, Australian National University, Research School of Earth Sciences, Canberra, ACT, Australia, Jan Dettmer, Australian National University, Canberra, Australia and Amy Williamson, Georgia Institute of Technology Main Campus, Atlanta, OR, United States

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