Coupled Interactive, Scalable Visual Steering Framework for Reservoir Simulators

Ali Karami


An integrated, modular decision-support system that allows the user to steer and learn from simulations in an intuitive way is established. It provides an integration of methods from visualization, computational steering and reservoir simulation.

The proposed approach derives multiple simulation models from at least one base case, providing control parameters that can be changed at any time during the simulation process. The steering framework permits the visualization of the ongoing simulation; even after the simulation comes to an end, the user may build and animate all possible graphic images, thus providing a frame work for integrating dedicated tools for exploratory visual analysis; the user has the flexibility to compare different alternatives, to correct an unacceptable reservoir dynamic behavior or to seek an improved development alternative; new jobs can be restarted from any intermediate step along the processing time of a base case thus creating corresponding derived cases.