Reservoir simulation : mathematical techniques in oil recovery

303 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Efficient Bayesian inference of subsurface flow models using nested sampling and sparse polynomial chaos surrogates (2014, methodology): “(21) is discretized using a finite-volume scheme in space and backward Euler method in time and solved by a standard Newton iteration [57].”
Bayesian Reservoir History Matching Considering Model and Parameter Uncertainties (2012, methodology): “For a two phase flow problem of water w and oil o, the relative mobilities are modeled using polynomial equations (Chen 2007) λw(Sw) = (Snw) 2 μw , λo(Sw) = (1 − Snw) 2 μo , Snw = Sw − Swc 1 − Sor − Swc , (16) where Sw is the water saturation, Swc is the connate or irreducible water saturation and…”