Improving local mean stress estimation using Bayesian hierarchical modelling

Local mean stress state is an important parameter to many rock mechanics and geomechanics applications, yet its estimation may be subject to large uncertainty owning mainly to the usual limited number of high-quality stress data and the potentially significant natural variability of stresses in a rock volume. Hence, it is essential to quantify and reduce uncertainty in local mean stress estimation. This paper proposes a novel Bayesian...