... most commonly comprise a concatenation of key quantities of interest (QoI), e.g., well and field-wide injection and production rates but can also include non-time series data like pressure distribution as a function of depth. We consider N QoI quantities of interest and N t simulation time steps...

... significant error in some quantities. ES-MDA requires many fewer function evaluations than MADS-RML, however, so there is a tradeoff between computational demand and accuracy. The framework developed here could be used to evaluate and tune a range of history matching procedures beyond those considered...

..., and it ensures continuity of transport characteristics at solubilization changes in phase composition. fluid dynamics composition quantity saturation flow in porous media concentration relative permeability water relative permeability formulation reservoir simulation phase state discontinuity...

... ( Trehan and Durlofsky, 2016 ). GNAT and its variants ( Efendiev et al., 2016 ; Yang et al., 2016 ; Yoon et al., 2016 ) are intrusive with respect to the simulator. They achieve speedup relative to full-order simulation by (in part) calculating quantities such as Jacobian matrix elements at a selected...

... it is feasible to quantify the impact of subsurface uncertainties on recovery for small-scale sector models via experimental design (ED), it is still a very challenging problem to quantify their impact on field-scale quantities. Straightforward upscaling to field scale does not work, because such conventional...

... to the fine-scale solutions for one-dimensional problems in transient- and steady- states. scaling method Hajibeygi Comput finite-volume method reservoir simulation transport equation basis function Upstream Oil & Gas simulator quantity MsFV method Modeling & Simulation Tchelepi...

... Abstract We present a novel formulation for simultaneous solution of the surface network equations, which are cast into a form similar to the reservoir flow equations. This form is more palatable to the efficient solvers already developed for reservoir simulators. quantity spe 93073...

... Abstract We consider permeability as a random space function defined by its mean and covariance. The stochastic nature of the permeability description leads to uncertainty in flow-related quantities such as pressure, saturation and production rate. We extended our statistical moment equation...

... grid block procedure grid simulation enhanced recovery fine grid renormalisation geology scaling method grid simulation united states government permeability distribution concentration flow in porous media coarse grid quantity permeability geologist flooding renormalisation-based...

... 21252 gridblock enhanced recovery sagd full well basis balance equation steam-assisted gravity drainage simulator expression implicit reservoir simulator calculation oil rate quantity equation upstream oil & gas mole iteration procedure reservoir simulation united states...

.... upstream oil & gas porosity model fractured petroleum reservoir spe 16019 equation matrix block boundary condition quantity arbogast source term spe 16019 approximation fracture hydraulic fracturing saturation assumption simulation fluid dynamics phase flow calculation complex...