The problem posed to the Study Group was, in essence, how to estimate the probability distribution of f(x) from the probability distribution of x. Here x is a large vector and f is a complicated function which can be expensive to evaluate. For Schlumberger's applications f is a computer simulator of a hydrocarbon reservoir, and x is a description of the geology of the reservoir, which is uncertain
The major spreading and trapping mechanisms of carbon dioxide in geological media are subject to spa...
A new procedure to reduce uncertainties in reservoir simulation models using statistical inference a...
Unsteady flow generated by a point-like source takes place into a -dimensional porous formation ...
A direct method is presented for determining the uncertainty in reservoir pressure, flow, and net pr...
textIncreasing attention is being paid to uncertainties in reservoir production predictions because...
In this dissertation we discuss numerical methods used for uncertainty quantifi- cation applications...
Geostatistical simulation algorithms are routinely used to generate conditional realizations of the...
In this dissertation, we focus on the uncertainty quantification problems where the goal is to sampl...
This paper presents non-intrusive, efficient stochastic approaches for predicting uncertainties asso...
We give an approach for using flow information from a system of wells to characterize hydrologic pro...
Natural porous media are highly heterogeneous and characterized by parameters that are often uncerta...
Groundwater flow models are usually subject to uncertainty as a consequence of the random representa...
AbstractOne of the most diffcult tasks in reservoir simulations is reliable characterization of frac...
In many fields of study, and certainly in hydrogeology, uncertainty propagation is a recurring subje...
Reliable predictions of reservoir flow response corresponding to various recovery schemes require a ...
The major spreading and trapping mechanisms of carbon dioxide in geological media are subject to spa...
A new procedure to reduce uncertainties in reservoir simulation models using statistical inference a...
Unsteady flow generated by a point-like source takes place into a -dimensional porous formation ...
A direct method is presented for determining the uncertainty in reservoir pressure, flow, and net pr...
textIncreasing attention is being paid to uncertainties in reservoir production predictions because...
In this dissertation we discuss numerical methods used for uncertainty quantifi- cation applications...
Geostatistical simulation algorithms are routinely used to generate conditional realizations of the...
In this dissertation, we focus on the uncertainty quantification problems where the goal is to sampl...
This paper presents non-intrusive, efficient stochastic approaches for predicting uncertainties asso...
We give an approach for using flow information from a system of wells to characterize hydrologic pro...
Natural porous media are highly heterogeneous and characterized by parameters that are often uncerta...
Groundwater flow models are usually subject to uncertainty as a consequence of the random representa...
AbstractOne of the most diffcult tasks in reservoir simulations is reliable characterization of frac...
In many fields of study, and certainly in hydrogeology, uncertainty propagation is a recurring subje...
Reliable predictions of reservoir flow response corresponding to various recovery schemes require a ...
The major spreading and trapping mechanisms of carbon dioxide in geological media are subject to spa...
A new procedure to reduce uncertainties in reservoir simulation models using statistical inference a...
Unsteady flow generated by a point-like source takes place into a -dimensional porous formation ...