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Coupled Static / Dynamic Modeling for Improved Uncertainty Handling (SPE 154400)
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 74th EAGE Conference and Exhibition incorporating EUROPEC 2012, Jun 2012, cp-293-00238
- ISBN: 978-90-73834-27-9
Abstract
In the petroleum industry history-matched reservoir models are used to aid the field development decision-making process. Traditionally, models have been history-matched by reservoir engineers in the dynamic domain only. Ideally, if any changes are required to static parameters as result of history matching the dynamic model, then these should be reflected directly in the static reservoir model. This permits consistency between the static and dynamic domain. In addition, static model uncertainties are often not evaluated in the dynamic domain, which could result in the detailed modeling of geological features that have no impact on the dynamic behavior and the resulting development decision. This paper demonstrates a workflow where the reservoir simulator and static modeling package are closely linked to promote a more integrated approach and to enhance the interaction between the subsurface disciplines. Using either the simulator or the static modeling package as the platform, the output of the workflow is a sensitivity analysis of the uncertainties related to structure, rock properties, fluids and rock-fluid interactions. Next, computer-assisted history matching methods (i.e. adjoint-based and Design of Experiments) are used to find the parameter values that result in a successful history match. The workflow will be demonstrated both on a synthetic model and on a reservoir model from a real field case. This methodology results in history-matched models and a better understanding of the static and dynamic subsurface uncertainties, leading to more informed decision-making. The method presented here can significantly enhance the awareness of the impact of both static and dynamic subsurface uncertainties on development decisions. In addition, it offers a platform where all subsurface professionals can more optimally combine their efforts to improve the integrated understanding of reservoirs.