NS53A:
Joint Inversion Methods and Other Interpretation Strategies to Integrate Multidisciplinary Geophysical Data II


Session ID#: 7629

Session Description:
Combining complimentary data sets typically reduces the ambiguity of inversion results and faciliates subsequent interpretation. Hence, integration of multi-disciplinary data has become popular in many disciplines including near-surface geophysics, mineral exploration, sub-basalt and sub-salt problems, gas hydrate investigations, and studies involving deep crustal and mantle structures. Still, many questions remain: Which types of data should be inverted together? How to balance their influence in the inversion? How can we assess the differences between joint inversion, cooperative inversion and other integrated interpretation strategies? This session welcomes research using joint inversion or other approaches to combine different types of geophysical data. Both case studies and technical contributions are welcome.
Primary Convener:  Max Moorkamp, Ludwig Maximilians University of Munich, Earth and Environmental Sciences, Munich, Germany
Conveners:  Niklas Linde, University of Lausanne, Lausanne, Switzerland, Peter G Lelievre, Mount Allison University, Department of Mathematics and Computer Science, Sackville, NB, Canada and Amir Khan, ETH, Zurich, Switzerland
Chairs:  Max Moorkamp, Ludwig Maximilians University of Munich, Earth and Environmental Sciences, Munich, Germany, Peter G Lelievre, Mount Allison University, Department of Mathematics and Computer Science, Sackville, NB, Canada, Niklas Linde, University of Lausanne, Lausanne, Switzerland and Amir - Khan III, ETH, Zurich, Switzerland
OSPA Liaison:  Max Moorkamp, Ludwig Maximilians University of Munich, Earth and Environmental Sciences, Munich, Germany
Co-Organized with:
Near Surface Geophysics, Geomagnetism and Paleomagnetism, and Hydrology

Cross-Listed:
  • GP - Geomagnetism and Paleomagnetism
  • S - Seismology
  • T - Tectonophysics
Index Terms:

3260 Inverse theory [MATHEMATICAL GEOPHYSICS]
7290 Computational seismology [SEISMOLOGY]
8124 Earth's interior: composition and state [TECTONOPHYSICS]
9820 Techniques applicable in three or more fields [GENERAL OR MISCELLANEOUS]

Abstracts Submitted to this Session:

Constrained and joint inversion on unstructured meshes (Invited) (62543)
Joseph Doetsch1, Claudio Jordi1, Veronika Rieckh1, Thomas Guenther2 and Cedric Schmelzbach3, (1)ETH Zurich, Zurich, Switzerland, (2)Leibniz Institute for Applied Geophysics - LIAG, Hannover, Germany, (3)ETH Zurich, Institute for Geophysics, Zurich, Switzerland
Inverse Problems in Complex Models and Applications to Earth Sciences (Invited) (84370)
Miguel E Bosch, Central University of Venezuela, Maracaibo, Venezuela
Joint Inversion of Hydrological and Geophysical Data for Enhanced Reservoir Characterization (Invited) (74460)
Michael Commer1, Stefan Finsterle1, Yingqi Zhang1 and Gary Michael Hoversten2, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Chevron Corporation Houston, Geophysical R&D, Houston, TX, United States
Joint Geophysical Inversion With Multi-Objective Global Optimization Methods (65513)
Peter G Lelievre, Mount Allison University, Department of Mathematics and Computer Science, Sackville, NB, Canada, Rodrigo Bijani, National Observatory of Brazil, Department of Geophysics, Rio De Janeiro, Brazil and Colin Farquharson, Memorial University of Newfoundland, Department of Earth Sciences, St John's, Canada
3D joint inversion using seismic data and marine controlled-source electromagnetic data for evaluating gas hydrate concentrations (68816)
Bona Kim1, Joongmoo Byun2, Soon Jee Seol3, Soochoel Jeong1, Yonghyun Chung4 and Taekhyun Kwon1, (1)Hanyang University, Seoul, Korea, Republic of (South), (2)Hanyang University, RISE.ML, Seoul, South Korea, (3)Hanyang University, Seoul, South Korea, (4)Seoul National University, Seoul, South Korea
Joint and constrained inversions in a complex geological setting, example from the Skellefte District (74610)
Maria A Garcia Juanatey, Uppsala University, Uppsala, Sweden, Peter G Lelievre, Mount Allison University, Department of Mathematics and Computer Science, Sackville, NB, Canada, Christopher Juhlin, Uppsala University, Earth Sciences, Uppsala, Sweden and Colin Farquharson, Memorial University of Newfoundland, Department of Earth Sciences, St John's, Canada
Incorporating Vertical Ray-Path Measurements in Crosshole Radar Tomography (79766)
Frederick David Day-Lewis, USGS, Storrs, CT, United States, Celicia L Boyden, Former intern, USGS, Storrs, CT, United States and John W Lane Jr, USGS Groundwater Information, Reston, VA, United States

See more of: Near Surface Geophysics