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Streamsim Technologies and Stanford University have had a long, ongoing, and close collaboration on a number of research subjects.
In the Streamsim/Stanford History Matching Joint Industry Project the goal is to mature ideas about history matching techniques that use streamline-specific information into a robust software infrastructure that is usable by reservoir engineers. Given the complexity of the methodologies involved as well as the amounts of data, usability is a key factor in the successful application to real-world problems. The JIP was started in 2004 and is ongoing. The work is in close cooperation with the Stanford Center for Reservoir Forecasting. See here for more information.
Streamlines offer unique injector/producer connectivity information that can be exploited to set well target rates to optimize future production. In this work, the goal is to go beyond the heuristic approach of floodOPT and use a formal optimization procedure while still exploiting streamline specific information to ensure much faster convergence. This work is in collaboration with the Stanford Smart Fields Consortium, the Institute for Computational and Mathematical Engineering, and IBM.
Improvements to 3DSL
On-going improvements to 3DSL are a top priority at Streamsim. We work closely with Stanford University on improving both the numerics and the physics models to include in 3DSL. Recent work on thermal streamlines, for example, have shown that streamline simulation may be very useful in offering approximate solutions in that area. We work closely with the SUPRI-B group, the Institute for Computational and Mathematical Engineering, and with SUPRI-A.