Advanced Methods of Joint Inversion and Fusion of Multiphysics Data

Introduction to inversion theory.- Elements of probability theory.- Vector spaces of models and data.- Principles of regularization theory.- Linear inverse problems.- Probabilistic methods of inverse problem solution.- Gradient-type methods of non-linear inversion.- Joint inversion based on analytical and statistical relationships between different physical properties.- Joint inversion based on structural similarities.- Joint focusing inversion of multiphysics data.- Joint minimum entropy inversion.- Gramian method of generalized joint inversion.- Probabilistic approach to gramian inversion.- Simultaneous processing and fusion of multiphysics data and images.- Machine learning in the context of inversion theory.- Machine learning inversion of multiphysics data.- Modeling and inversion of potential field data.- Case histories of joint inversion of gravity and magnetic data.

Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.

• Geofísica
• Indústrias da energia e de outros serviços
• Geologia e a litosfera

Joint inversion;Multiphysics data;Regularization theory;Data fusion;Geophysical data integration;Geophysical methods