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

Abstract 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.

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