... probabilistic model is derived from Directed Graphic Model using a statistical learning framework. Stochastic Poisson process combined with a specific rate model is integrated to generate a likelihood function. Both, parameter inference and microseismic event forecast are assisted by Bayesian theorem. The model...

... Abstract High pressure fluid injection into geologic formations can trigger rock deformation and failure and lead to microseismic events. Injection induced seismicity has been proposed as a monitoring technique that can be used to constrain the description of rock flow and mechanical properties...

... Direct and indirect measurements were used to calculate the Discrete Fracture Network (DFN) geometry and orientation of the fractures including M o , μ, η, V i , δ and the hypocenter focal mechanism. Seismic moment and magnitude are measured for each microseismic event and the focal mechanism...

... rock with increased permeability due to stimulated fractures. ( Cornette et al., 2012 ) Modeling microseismic events as 3D fractures allows for the computation of fracture flow properties by assigning attributes to the fracture planes. This is based on the assumption that the microseismic events...

... and the microseismicity along the same wellbore. Moos et al. (2011) shows that the well performance along the wellbore seems to correlate well with the natural fracture density, while the density of the microseismic events shows almost no correlation. Other authors have emphasized the need to intercept natural...

... accepted by many authors either seismologists or engineers. Recording the Microseismic Events Microseismic events can be detected using a downhole or surface array of three-component receivers ( Le Calvez et al., 2007 ; Cipolla and Wright, 2000 ). Downhole monitoring is more sensitive than surface...