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picture1_Analysis Ppt 75646 | Egu2020 881 Presentation


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File: Analysis Ppt 75646 | Egu2020 881 Presentation
presentation overview introduction cooperative inversion of seismic reflection and gravity data methodology results conclusion maiara goncalves emilson leite egu2020 2 introduction seismic reflection gravity maiara goncalves emilson leite egu2020 3 ...

icon picture PPTX Filetype Power Point PPTX | Posted on 02 Sep 2022 | 3 years ago
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       Presentation Overview
       • Introduction 
       • Cooperative inversion of seismic reflection and gravity data
       • Methodology
       • Results
       • Conclusion
   Maiara Gonçalves & Emilson Leite EGU2020                                      2
       Introduction
               • Seismic reflection                        • Gravity
   Maiara Gonçalves & Emilson Leite EGU2020                                      3
       Introduction
       • Solution  jointly invert seismic with gravity
       1) De Stefano et al., (2011): joint inversion with structural and 
           empirical links
       2) Haber and Oldenburg  (1997) – structural operator 
       3) Gallardo and Meju (2004) – the cross product of model gradients
       4) Gonçalves and Leite (2019) – cooperative inversion of seismic 
           reflection and gravity data, by optimizing the gravity inverse 
           problem.
   Maiara Gonçalves & Emilson Leite EGU2020                                        5
       Cooperative inversion of seismic reflection and 
       gravity data
                                                                          Objective 
                                                                          function 
                                                                           to be 
                                                                          optimized
                                                           Gonçalves and Leite (2019) 
  Maiara Gonçalves & Emilson Leite EGU2020                                6
        Methodology                                                     Parameters to analyze: 
                                                                         Reflection
                                                                         Expansion
        • Sensibility analysis                                           Contraction
        1) Simplex Method                                                Shrinkage
                                                                        Adapted from Lagarias et al. (1998). 
        The simplex algorithm is a local 
        search method.
   Maiara Gonçalves & Emilson Leite EGU2020                                               7
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...Presentation overview introduction cooperative inversion of seismic reflection and gravity data methodology results conclusion maiara goncalves emilson leite egu solution jointly invert with de stefano et al joint structural empirical links haber oldenburg operator gallardo meju the cross product model gradients by optimizing inverse problem objective function to be optimized parameters analyze expansion sensibility analysis contraction simplex method shrinkage adapted from lagarias algorithm is a local search...

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