Geophysical Inversion

This video examine the theoretical and practical frameworks of geophysical inversion, a process used to estimate the physical properties of underground structures from measured data. The text distinguishes between linearised methods, which use iterative optimization to refine initial models, and global optimization techniques like Simulated Annealing and Genetic Algorithms that seek to avoid local minima. A significant focus is placed on joint inversion, which integrates multiple datasets to reduce ambiguity and improve the reliability of geological interpretations. Furthermore, the material introduces series expansion-based discretization, a strategy designed to transform underdetermined problems into stable, overdetermined ones. By utilizing various mathematical norms and weighting matrices, these methodologies aim to produce accurate petrophysical estimates while suppressing the influence of data noise. Overall, the literature provides a comprehensive guide to modern computational tools used to resolve complex geophysical inverse problems.