Inverse problems in Earth Sciences complex models

Complex models in Earth Sciences refer to the combination of multiple properties, scales, observations, and physics relating the various model components for the description of geological objects. As natural objects the reservoirs, earth crust or planets require a multidisciplinary description, and setting such a description into a joint numerical framework is important for modeling and inference. This involves modeling through a network of observations and model components related by the corresponding scientific disciplines: geophysical survey methods, rock-physics, geology, geochemistry, etc. The probabilistic inference method provides the natural mathematical framework for the formulation of these problems, considering the modeling of prior information and data likelihood functions to combine in the posterior probability associated to configurations of the complex model. I briefly review the basic formulation and discuss example applications to reservoir, regional and global scales.

Speaker: Miguel Bosch, Info Geosciences Technology and Services