Abstract
Summary We present a scheme to estimate induced earthquake parameters using a variant of the Hamiltonian Monte Carlo algorithm in 3D heterogeneous media. The algorithm is known to be highly efficient in exploring model parameters in high-dimensional spaces. This algorithm, however, suffers from the nonlinearity of our forward problem. It also highly depends on the quality of the prior. Therefore to aid those issues, we introduce an iterative scheme by concurrently update the mean prior. Finally, we test our scheme by inverting for hypocenter, moment tensor, and origin time of a synthetic induce event simulated on a 3D heterogeneous subsurface model of the Groningen gas field. In the end, we find the scheme to be effective and computationally efficient in inverting our desired earthquake parameters even when the prior is highly imprecise.
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