Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks

2 Dec 2019Vladimir PuzyrevAndrei Swidinsky

Inversion of electromagnetic data finds applications in many areas of geophysics. The inverse problem is commonly solved with either deterministic optimization methods (such as the nonlinear conjugate gradient or Gauss-Newton) which are prone to getting trapped in a local minimum, or probabilistic methods which are very computationally demanding... (read more)

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