Reservoir characterization with iterative direct sequential co-simulation:Integrating fluid dynamic data into stochastic model

摘要

This paper presents a novel approach of inverse modelling to integrate fluid dynamic data into static model of reservoirs.The inverse procedure for history matching is achieved with an iterative process of successive co-simulations of reservoir characteristics in order to minimize an objective function of dynamic responses.Two main versions of inverse algorithm with a global and regional field perturbation are proposed.Direct Sequential Simulation and Co-simulation(Co-DSS)are used to obtain convergent stochastic realizations to the dynamic objectives.Either of the algorithms,global and regional perturbation,proposed and evaluated led to satisfactory results with an acceptable iterations number.