This paper deals with the problem of estimating fracture planes, given only the data at borehole intersections with fractures. We formulate an appropriate model for the problem and give a solution to fitting the planes using a Markov chain Monte Carlo (MCMC) implementation. The basics of MCMC are presented, with particular emphasis given to reversible jump, which is required for changing dimensions. We also give a detailed worked example of the MCMC implementation with reversible jump since our implementation relies heavily on this new methodology. The methods are tested on both simulated and real data. The latter is a unique data set in the form of a granite block, which was sectioned into slices. All joints were located and recorded, and ...
Objective. Investigation of the problems of zonal disintegration of rocks around deep underground wo...
This paper investigates a new statistical approach to identify the road propagation models and their...
We present an overview of Markov chain Monte Carlo, a sampling method for model inference and uncert...
The characterisation of rock fracture networks is an important component of rock engineering applica...
A stochastic key block method is developed for the analysis of complex blocky rock masses containing...
We have a model for simulating facies values in a rock. We can use the model to find facies structur...
Methods reported in the literature for rock fracture simulations include approaches based on stochas...
Geometric distributions of fractures or discontinuities control the behaviour, and limit the strengt...
In this study, the authors simulate a polygonal discrete fracture network (DFN) in rock masses. The ...
The authors describe a comprehensive software package for two- and three-dimensional stochastic rock...
Stability analysis of the B & G sector for a projected ultimate pit slope design of the northwestern...
A 3-D model of rock-mass discontinuities is presented which is based on the usual representation of ...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, ...
Fracture networks and their connectivity are the principal factors affecting fluid flow in hot dry r...
International audienceThe study of the mechanical behaviour of a rock mass can be performed by consi...
Objective. Investigation of the problems of zonal disintegration of rocks around deep underground wo...
This paper investigates a new statistical approach to identify the road propagation models and their...
We present an overview of Markov chain Monte Carlo, a sampling method for model inference and uncert...
The characterisation of rock fracture networks is an important component of rock engineering applica...
A stochastic key block method is developed for the analysis of complex blocky rock masses containing...
We have a model for simulating facies values in a rock. We can use the model to find facies structur...
Methods reported in the literature for rock fracture simulations include approaches based on stochas...
Geometric distributions of fractures or discontinuities control the behaviour, and limit the strengt...
In this study, the authors simulate a polygonal discrete fracture network (DFN) in rock masses. The ...
The authors describe a comprehensive software package for two- and three-dimensional stochastic rock...
Stability analysis of the B & G sector for a projected ultimate pit slope design of the northwestern...
A 3-D model of rock-mass discontinuities is presented which is based on the usual representation of ...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, ...
Fracture networks and their connectivity are the principal factors affecting fluid flow in hot dry r...
International audienceThe study of the mechanical behaviour of a rock mass can be performed by consi...
Objective. Investigation of the problems of zonal disintegration of rocks around deep underground wo...
This paper investigates a new statistical approach to identify the road propagation models and their...
We present an overview of Markov chain Monte Carlo, a sampling method for model inference and uncert...