A Parallel Stochastic Framework for Reservoir Characterization and History Matching

[摘要] The spatial distribution of parameters that characterize the subsurface is neverknown to any reasonable level of accuracy required to solve the governing PDEs of multiphase flowor species transport through porous media. This paper presents a numerically cheap, yet efficient,accurate and parallel framework to estimate reservoir parameters, for example, medium permeability, usingsensor information from measurements of the solution variables such as phase pressures, phase concentrations, fluxes, and seismic and well log data. Numerical results are presented to demonstrate themethod.

[学科分类] 应用数学