Hamiltonian Monte Carlo to Characterize Induced Earthquakes: Application to a M_L 3.4 Event in the Groningen Gas Field and the Role of Prior

The Hamiltonian Monte Carlo algorithm is known to be highly efficient when sampling high-dimensional model spaces due to Hamilton's equations guiding the sampling process. For weakly non-linear problems, linearizing the forward problem enhances this efficiency. This study integrates this linearization with geological prior knowledge for...