SINBAD Sponsor Meeting
 
Date
  1.  
  2. November 23-24th, 2009
 
Location
  1.  
  2. Multipurpose Room (Main floor)
  3. Liu Institute for Global Issues
  4. University of British Columbia
  5. 6476 NW Marine Drive
  6. Vancouver, BC
  7. Canada V6T 1Z2
  8. (map)
  9.  
  10. Phone  +1 604 822 1402
  11. Fax    +1 604 822 6966
  12. Email: liu.institute@ubc.ca
 
  Parking :
  1. •The Rose  Garden parkade is located on NW Marine Drive.
  2. •The Fraser River parkade is on the Lower Mall.
 
  1. For more parking information, visit www.parking.ubc.ca or call UBC Parking  at (604) 822-6786.
 
Contact
 
 Harry Dosanjh (Email)
  1. Department of Earth & Ocean Sciences
  2. 6339 Stores Road
  3. Vancouver, BC
  4. Canada V6T 1Z4 (map)
  5.  
  6. Tel:  +1 604 822 5674
 
Website
 
  1. slim.gatech.edu/.../SINBAD2009/
  2. webmaster
 
SINBAD
Seismic Imaging by Next-Generation Basis Functions Decomposition
SLIM NEWS
 
  1.  
  2. Executive Summary DNOISE:
  3.  
  4. Dynamic nonlinear optimization for imaging in seismic exploration (DNOISE) is a multidisciplinary research project involving faculty members from the Mathematics, Computer Science, and Earth and Ocean Sciences departments at the University of British Columbia. DNOISE aims at one of the most pressing questions in the oil and gas industry namely ---"How to image more deeply and with more detail?" This pressing question needs to be answered if our energy-intensive society is to adequately address the current surge in demand for hydro-carbon resources.
  5.  
  6. DNOISE operates at the intersection of information, optimization and seismic theory, and aims to provide answers to the basic questions "What accuracy is attainable given a certain seismic acquisition?", and "How can we improve the acquisition to obtain a certain accuracy?" To answer these questions, DNOISE will leverage recent results from information theory, known as uniform uncertainty principles. These recently discovered principles constitute a new paradigm since they provide explicit conditions under which (seismic) data can be recovered from incomplete and noisy measurements. As part of DNOISE, we plan to leverage these results towards a large suite of outstanding problems in seismic imaging that range from the canonical deconvolution problem to the removal of coherent signal components and amplitude recovery.
  7.  
  8. DNOISE derives its potential from the development of signal representations that are sparse and optimization techniques that promote this sparseness. This combination is exploited in DNOISE's formulation of the seismic imaging problem, leading to an improved image quality, including explicit estimates for the image accuracy, i.e., the error.
  9.  
  10. ‣LIMA HPC cluster (Laboratory for Imaging and MAthematics)
  11. SLIM has recently purchased a 144-CPU cluster that will greatly expand our seismic processing capabilities. Its specifications are listed below :
  12.  
  13. Compute nodes
  14. 36 x IBM x3550 (i.e., 288 CPUs). Each with:
  15. -2 quad-core 2.66GHz Intel processors (8 CPUs)
  16. -16 GB memory (2 GB / CPU )
  17. -Voltaire Infiniband x4 high-speed inter-proccesor network
  18. -280 GB of local storage
  19. -1Gb Ethernet
  20. Storage
  21. 2 x IBM eServer 326m. Each with:
  22. -2 dual-core 2.2GHz Opteron processors (4 CPUs)
  23. -4GB memory (1 GB / CPU )
  24. -11 TB of effective storage
  25. -dual 1Gb Ethernet
  26. Login nodes
  27. 3 x IBM x3550. Each with:
  28. -2 quad-core 2.66GHz Intel processors (8 CPUs)
  29. -16 GB memory (2 GB / CPU )
  30. -1Gb Ethernet
  31. Management node
  32. IBM eServer 326m with:
  33. -2 dual-core 2.2GHz Opteron processors (4 CPUs)
  34. -4GB memory (1 GB / CPU )
  35. -1Gb Ethernet
  36.  
  37. Pictures
  38.  
  39.  
  40.  
  41.  
  42.  
  43.  
  44.  
  45.  
  46.  
  47.  
  48.  
  49.  
  50.  
  51.  
  52.  
  53.  
  54.  
  55.  
  56.  
  57.  
  58.  
  59.