Hector Klie, Wolfgang Bangerth, Xiuli Gai, Mary F. Wheeler, Paul
L. Stoffa, Mrinal Sen, M. Parashar, Umit Catalyurek,
Joel Saltz, Tahsin Kurc
Models, methods and middleware for Grid-enabled
multiphysics oil reservoir management
Engineering with Computers, vol. 22 (2006), pp. 349-370.
Meeting the demands for energy entails a better understanding and
characterization of the fundamental processes of reservoirs and of
how human made objects affect these systems. The need to perform
extensive reservoir studies for either uncertainty assessment or
optimal exploitation plans brings up demands of computing power and
data management in a more pervasive way. This work focuses on high
performance numerical methods, tools and Grid-enabled middleware
systems for scalable and data-driven computations for multiphysics
simulation and decision-making processes in integrated multiphase
flow applications.
The proposed suite of tools and systems consists of: (1) a scalable
reservoir simulator, (2) novel stochastic optimization algorithms,
(3) decentralized autonomic Grid middleware tools, and (4)
middleware systems for large scale data storage, querying, and
retrieval. The aforementioned components offer enormous potential
for performing data-driven studies and efficient execution of
complex, large scale reservoir models in a collaborative
environment.
Wolfgang Bangerth
Tue Nov 24 09:01:15 CST 2009