Probabilistic approach to Gramian inversion of multiphysics data

We consider a probabilistic approach to the joint inversion of multiphysics data based on Gramian constraints. The geophysical survey represents most effective technique for exploration because different physical reflect distinct properties various components geological system. By data, one can produce enhanced subsurface images distribution, which improves our ability explore natural resources. One powerful method is This enforces relationships between model parameters during process. demonstrate that be interpreted as determinant covariance matrix models representing geology in framework theory. interpretation opens way use all power modern probability theory and statistics developing novel methods data. apply developed methodology gravity gradiometry magnetic Nordkapp Basin, Barents Sea image salt diapirs.