New 3D parallel SGILD modeling and inversion Metadata

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Title

  • Main Title New 3D parallel SGILD modeling and inversion

Creator

  • Author: Xie, G.
    Creator Type: Personal
  • Author: Li, J.
    Creator Type: Personal
  • Author: Majer, E.
    Creator Type: Personal

Contributor

  • Sponsor: United States. Department of Energy. Office of Energy Research.
    Contributor Type: Organization
    Contributor Info: USDOE Office of Energy Research, Washington, DC (United States)

Publisher

  • Name: Lawrence Berkeley National Laboratory. Earth Sciences Division.
    Place of Publication: Berkeley, California
    Additional Info: Lawrence Berkeley National Lab. (LBNL), Earth Sciences Div., Berkeley, CA (United States)

Date

  • Creation: 1998-09-01

Language

  • English

Description

  • Content Description: In this paper, a new parallel modeling and inversion algorithm using a Stochastic Global Integral and Local Differential equation (SGILD) is presented. The authors derived new acoustic integral equations and differential equation for statistical moments of the parameters and field. The new statistical moments integral equation on the boundary and local differential equations in domain will be used together to obtain mean wave field and its moments in the modeling. The new moments global Jacobian volume integral equation and the local Jacobian differential equations in domain will be used together to update the mean parameters and their moments in the inversion. A new parallel multiple hierarchy substructure direct algorithm or direct-iteration hybrid algorithm will be used to solve the sparse matrices and one smaller full matrix from domain to the boundary, in parallel. The SGILD modeling and imaging algorithm has many advantages over the conventional imaging approaches. The SGILD algorithm can be used for the stochastic acoustic, electromagnetic, and flow modeling and inversion, and are important for the prediction of oil, gas, coal, and geothermal energy reservoirs in geophysical exploration.
  • Physical Description: 17 p.

Subject

  • Keyword: Seismic Surveys
  • Keyword: Hydrology
  • Keyword: S Codes
  • Keyword: Geologic Models
  • Keyword: Calculation Methods
  • STI Subject Categories: 58 Geosciences
  • Keyword: Algorithms
  • Keyword: Stochastic Processes
  • Keyword: Electromagnetic Surveys

Source

  • Conference: 18. annual international conference on predictability quantifying uncertainty in models of complex phenomena, Los Alamos, NM (United States), 11-15 May 1998

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Article

Format

  • Text

Identifier

  • Other: DE98059389
  • Report No.: LBNL--42252
  • Report No.: CONF-9805106--
  • Grant Number: AC03-76SF00098
  • Office of Scientific & Technical Information Report Number: 676981
  • Archival Resource Key: ark:/67531/metadc710929

Note

  • Display Note: OSTI as DE98059389