• DocumentCode
    2438716
  • Title

    Parallel Simulated Annealing Based Time-Lapse Seismic Inversion with VMware Virtual Machine Technology

  • Author

    Liu, Qicheng ; Zheng, Weimin ; Song, Yibin

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
  • Volume
    2
  • fYear
    2008
  • fDate
    19-20 Dec. 2008
  • Firstpage
    568
  • Lastpage
    572
  • Abstract
    Parallel simulated annealing with VMware virtual machine technology is applied in the time-lapse seismic inversion in this paper. The seismic-derived estimates of reservoir properties estimates are often obtained from time-lapse impedance estimates, it is important to achieve reliable time-lapse impedance models through time-lapse data inversion. For solving time-lapse seismic reservoir monitoring more efficiently, simulated annealing is applied to the inversion technique of time-lapse seismic. The seismic data in the time-lapse seismic is extraordinary huge, so parallel simulated annealing with VMware virtual machine technology is studied; it can proceed from many points simultaneously and independently, and periodically reconcile solutions. Virtualization technology of VMW are is described and a virtualization framework using VMware for parallel time-lapse seismic inversion is considered and designed.
  • Keywords
    geophysical techniques; geophysics computing; hydrocarbon reservoirs; monitoring; parallel algorithms; seismology; simulated annealing; virtual machines; VMware; parallel simulated annealing algorithm; seismic reservoir monitoring; time-lapse impedance model; time-lapse seismic inversion; virtual machine technology; Computational modeling; Computer science; Containers; Impedance; Operating systems; Parallel processing; Reservoirs; Simulated annealing; Virtual machining; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3490-9
  • Type

    conf

  • DOI
    10.1109/PACIIA.2008.322
  • Filename
    4756839