UCoMS: Ubiquitous Computing and Monitoring System for Discovery and Management of Energy Resources
The UCoMS project is researching and developing new Grid computing and sensor network technologies to better manage energy resources. Reservoir simulation is widely used to plan and manage oil and gas assets. Modern simulators involve complex models for geology, fluid dynamics and well locations and constraints, integrated with large amounts of geoscience and engineering data.
The number of simulation runs involved in the factorial designs becomes prohibitively large as the number of factors increases and complex oil-gas systems are studied. Grid-enabled UCoMS applications for reservoir simulations will dramatically relieve the burden of the expensive and time-consuming workflows traditionally associated with challenging geosciences solutions.
The UCoMS project is designed to support computation-intensive, fine-grained simulations and enable a huge amount of measured data storage and real-time processing, while providing safety monitoring on the well platforms. The project is using grid computing technologies to advance reservoir simulation and drilling analysis studies, coordinating the use of large scale compute and data resources. Through automated and reliable workflows in building new drilling monitoring and optimization applications, the project will provide a set of investigative tools operating on real-time drilling performance data.
Drilling applications for UCoMS aim to provide a scientific basis for assessing current operations considering all of the available data and providing data mining and visualization to facilitate drillers making continuous improvements in operations.
CCT Project leaders:
• Senior Staff
o Dr. Gabrielle Allen (CCT/Computer Science)
o Dr. Edward Seidel (CCT/Physics)
o Dr. Christopher D. White (CCT/Petroleum Engineering)
• Ph. D. Candidates
o Archit Kulshrestha (CCT)
o Richard Duff (Petroleum Engineering)
o Xin Li (Petroleum Engineering)
o Dayong Huang (Computer Science)
o Santiago Pena (Computer Science)
o Promita Chakraborty (Computer Science)
• M. S. Students
o Chongjie Zhang (Computer Science)
• Undergraduate Student
o John Lewis (Computer Science)
o Yunan Yuan (Electrical Engineering)
The Campus Connection
Three Louisiana universities are collaborating in this endeavor: University of Louisiana at Lafayette (ULL), Louisiana State University (LSU) and Southern University at Baton Rouge (SUBR).
At LSU, the project brings together the Center for Computation & Technology, and the Departments of Petroleum Engineering and Computer Science.
• LSU Partners:
o Dr. Zhou Lei (LSU Project Manager
o Dr. John R. Smith (PE)
The UCoMS project is sponsored by the U.S. Department of Energy (DOE) under Award Number DE-FG02-04ER46136 and the Board of Regents, State of Louisiana, under Contract No. DOE/LEQSF(2004-07.)
University of Louisiana – Lafayette http://www.ull.edu/
Southern University http://web.subr.edu/
• Zhou Lei, Dayong Huang, Archit Kulshrestha, Santiago Pena, Gabrielle Allen, Xin Li, Richard Duff, Subhash Kalla, Chris D. White, John R. Smith. Leveraging Grid Technologies For Reservoir Uncertainty Analysis. High Performance Computing Symposium (HPC06), Huntsville, Alabama. April 2-6, 2006.
• Zhou Lei, Dayong Huang, Archit Kulshrestha, Santiago Pena, Gabrielle Allen, Xin Li, Richard Duff, Subhash Kalla, Chris D. White, John R. Smith. ResGrid: A Grid-aware Toolkit For Reservoir Uncertainty Analysis. IEEE International Symposium on Cluster Computing and the Grid (CCGrid06), Singapore. May 16-19, 2006.
Project Page: http://www.ucoms.org/