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Energy recovery reservoir modeling

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On February 26, 2010, Shell and IBM announced a research collaboration that aims to extend the life of oil and natural gas fields. Shell sees potential to reduce the time and money required to model its reservoirs. IBM's long-standing analytics and simulation experience will meet Shell's strong subsurface and reservoir expertise to create a more efficient, more accurate picture of energy recovery.

The companies will explore advanced techniques for reconciling geophysical and reservoir engineering field data. As a result of applying improved algorithms, analytics and accelerated simulations, Shell can reduce the educated guesswork and extract natural resources with more certainty and efficiency, thereby optimizing the recovery of oil and gas.

The complex process of reconciling often-differing views of oil and natural gas fields can take several months to complete and involves measurements of production volumes, flow rates and pressures. For example, geophysicists must examine time-lapse seismic data from subsurface rock formations; reservoir engineers receive well and laboratory data, and geophysicists receive information - sound waves - covering wide spaces between the wells.

Shell and IBM will reformulate and automate the task of reconciling the different data and create an enhanced, yet practical, mathematical optimization solution. This can improve the cost-effectiveness of the data inversion process and, once available, will become part of Shell's proprietary reservoir modeling tool kits for application in new oil and natural gas developments as well as existing assets.

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