NS31B:
Frontiers of Uncertainty Estimation in Geophysical Inversion I

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Session ID#: 18320

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:  Louise Pellerin, Green Geophysics, Berkeley, CA, United States and Vedran Lekic, University of Maryland College Park, College Park, MD, United States
OSPA Liaison:  Niklas Linde, University of Lausanne, Lausanne, Switzerland
Co-Organized with:
Seismology, Seismology, Hydrology, and Geomagnetism, Paleomagnetism and Electromagnetism

Cross-Listed:
  • S - Seismology

Proposed Co-Organized Session with:
  • GP - Geomagnetism and Paleomagnetism
  • H - Hydrology
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:

Malcolm Sambridge, Australian National University, Research School of Earth Sciences, Canberra, ACT, Australia, Rhys Hawkins, Australian National University, Research School of Earth Sciences, Acton, Australia and Jan Dettmer, Australian National University, Canberra, Australia
Chao Gao, University of Maryland College Park, Dept. of Geology, College Park, MD, United States and Vedran Lekic, University of Maryland College Park, College Park, MD, United States
Thomas Bodin, LGL-TPE, Université Claude Bernard, Lyon1, CNRS, ENS, Villeurbanne, France, Alexandre Fournier, Université de Paris, Institut de Physique du Globe de Paris, CNRS, Paris, France, Philip W Livermore, University of Leeds, School of Earth and Environment, Leeds, LS2, United Kingdom and Yves Gallet, Institut de Physique du Globe de Paris, Paris, France
Valentin Niess1, Anne Barnoud1, Eve Le Ménédeu1, Valerie Cayol2 and Cristina Carloganu1, (1)Laboratoire de Physique Corpusculaire, Clermont Université, Université Blaise Pascal, CNRS/IN2P3, Clermont-Ferrand, France, (2)University Jean Monnet Saint-Etienne, Saint-Etienne Cedex 02, France
Andreas Fichtner, ETH Zurich, Zurich, Switzerland, Tristan van Leeuwen, Utrecht University, Mathematical Institute, Utrecht, Netherlands and Jeannot Trampert, Utrecht University, Utrecht, Netherlands
Shashi Ranjan, Srinivasa Rao Peddinti and Dr. Phanindra Kbvn, Indian Institute of Technology Hyderabad, Civil Engineering, Hydearbad, India
Daniel Burnett Blatter, University of California, San Diego, La Jolla, CA, United States, Kerry Key, Institute of Geophysics and Planetary Physics La Jolla, La Jolla, CA, United States and Anandaroop Ray, Chevron Corporation Houston, Geophysical R&D, Houston, TX, United States

See more of: Seismology