This paper describes an alternative practical interdisciplinary collaboration and application of a work process applied to field case studies from recent producing fields for identification of field development opportunities. Multi-disciplinary integration of static and dynamic work processes is part of the history matching process. The process improvements involve use of a common visualization environment that enable efficient iterative updates to reservoir characterizations and modification of production engineering information.

Next generation subsurface modeling tools and reservoir simulation technology has been deployed and adopted. Modeling tools continue to evolve and mature. Geologists, geophysicists and reservoir engineers now have access to user-friendly tools with common look-and-feel graphical user interfaces. The workflow outlined in this paper is one possible workflow enabled using a flexible and integrated framework. The primary goal of modeling is to streamline the construction and practical business use of reservoir models. The introduction of interdisciplinary work processes achieves this goal. Drillers, petroleum and reservoir engineers and geoscientists are all working from the same subsurface depth model, co-visualizing and co-analyzing diverse types of information in a collaborative environment.

The history matching process and workflow requires updates and adjustments to the dynamic model. A typical history match starts with hand-over of the static model to the reservoir engineer. This process oftentimes results in a dynamic model with a lack of ongoing direct updates of the static geological model and hence loss of full evaluation of all geological uncertainties. The loss of integration between the static and dynamic modeling results in too much time spent modeling of detailed geological events that have little impact on the dynamic behavior of the reservoir. Missing important geological and petrophysical parameters may have significant impact on the history match quality. Direct changes and updates to the static reservoir description ensures consistency between the static and the dynamic models.

Results from dynamic modeling combined with an update of the reservoir characterization can easily be shared with all team members. This process improves the quality of matched models, it reduces the speed of completing history matches and results in improved understanding of the static and dynamic uncertainties and their interdependencies. Discussion of complex relationships with the entire team observing an array of data and interpretations, results in clearer communication and enhanced decision making.

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