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Shell, IBM Team for
Extended Oil and Natural Gas Recovery Gerald Schotman
March 1, 2010
Shell and IBM have started 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.
An example of the
type of modeling image Shell uses to represent a very complex set of
data. The collaboration with IBM is expected to bring even greater
clarity to reservoir modeling.
"This collaboration
is remarkable," said Gerald Schotman, Executive Vice President of Shell
Innovation, Research & Development. "Two industrial research giants are
coming together to solve a very specific, real-world problem and make
the most of oil and natural gas reservoirs. This will not be done
through expensive, experimental facilities, but by bringing together a
powerful team and powerful computers so we can be smarter than before."
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 modelling tool kits for application in new oil and
natural gas developments as well as existing assets.
"Working with Shell is a prime example of the importance of
collaborative research in the effort to build a smarter planet," said
John E. Kelly III, Senior Vice President and Director of IBM Research.
"Using predictive analytics to drive new intelligence into oil and
natural gas reservoir management has the potential to extend the life of
existing oil and gas fields in a responsible way."
As part of this Joint Development Agreement, IBM and Shell research
scientists will work in several laboratories in both the US and the
Netherlands. |