Abstract. We present a probabilistic model of uncertainties for the two-phase flow through a porous medium. The uncertainty in the model comes from an incomplete knowl-edge of the saturation-dependent effective mobilities of the phases, which are consequently considered as random processes. The probability laws of these processes are derived follow-ing the maximum entropy principle. After discretization, the random effective mobilities can be sampled allowing for Monte-Carlo simulations of the random model and analysis of the resulting random flow.
. This study is concerned with developing a two-dimensional multiphase model that simulates the move...
Abstract. Quantitative descriptions of flow and transport in subsurface environments are often hampe...
We construct a statistical mechanics for immiscible and incompressible two-phase flow in porous medi...
Abstract. We present a probabilistic model of uncertainties for the two-phase flow through a porous ...
We present a probabilistic model of uncertainties for the two-phase flow through a porous medium. Th...
International audienceWe present a probabilistic model of uncertainties for the two-phase flow throu...
A reliability approach is used to develop a probabilistic model of two-dimensional non-reactive and ...
Abstract During probabilistic analysis of flow and transport in porous media, the uncertainty due to...
Reliability algorithms provide attractive alternatives to Monte Carlo simulation and stochastic pert...
Quantitative descriptions of flow and transport in subsurface environments are often hampered by unc...
Probabilistic modeling approaches are being used increasingly in order to carry out quantified risk ...
We present a Markov Chain Monte Carlo algorithm based on the Metropolis algorithm for simulation of ...
A stochastic approach to conditional simulation of flow in randomly heterogeneous media is proposed ...
Relative permeability is a significant transport property which describes the simultaneous flow of ...
Natural porous media are highly heterogeneous and characterized by parameters that are often uncerta...
. This study is concerned with developing a two-dimensional multiphase model that simulates the move...
Abstract. Quantitative descriptions of flow and transport in subsurface environments are often hampe...
We construct a statistical mechanics for immiscible and incompressible two-phase flow in porous medi...
Abstract. We present a probabilistic model of uncertainties for the two-phase flow through a porous ...
We present a probabilistic model of uncertainties for the two-phase flow through a porous medium. Th...
International audienceWe present a probabilistic model of uncertainties for the two-phase flow throu...
A reliability approach is used to develop a probabilistic model of two-dimensional non-reactive and ...
Abstract During probabilistic analysis of flow and transport in porous media, the uncertainty due to...
Reliability algorithms provide attractive alternatives to Monte Carlo simulation and stochastic pert...
Quantitative descriptions of flow and transport in subsurface environments are often hampered by unc...
Probabilistic modeling approaches are being used increasingly in order to carry out quantified risk ...
We present a Markov Chain Monte Carlo algorithm based on the Metropolis algorithm for simulation of ...
A stochastic approach to conditional simulation of flow in randomly heterogeneous media is proposed ...
Relative permeability is a significant transport property which describes the simultaneous flow of ...
Natural porous media are highly heterogeneous and characterized by parameters that are often uncerta...
. This study is concerned with developing a two-dimensional multiphase model that simulates the move...
Abstract. Quantitative descriptions of flow and transport in subsurface environments are often hampe...
We construct a statistical mechanics for immiscible and incompressible two-phase flow in porous medi...