Fast Density Inversion Solution for Full Tensor Gravity Gradiometry Data
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  • 作者:Zhenlong Hou ; Xiaohui Wei ; Danian Huang
  • 关键词:FTG ; Preconditioned conjugate gradient method ; MPI ; OpenMP
  • 刊名:Pure and Applied Geophysics
  • 出版年:2016
  • 出版时间:February 2016
  • 年:2016
  • 卷:173
  • 期:2
  • 页码:509-523
  • 全文大小:2,051 KB
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  • 作者单位:Zhenlong Hou (1)
    Xiaohui Wei (1)
    Danian Huang (2)

    1. College of Computer Science and Technology, Jilin University, No. 938, Ximinzhu Street, Changchun, China
    2. College of Geo-Exploration Science and Technology, Jilin University, No. 938, Ximinzhu Street, Changchun, China
  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Earth sciences
    Geophysics and Geodesy
  • 出版者:Birkh盲user Basel
  • ISSN:1420-9136
文摘
We modify the classical preconditioned conjugate gradient method for full tensor gravity gradiometry data. The resulting parallelized algorithm is implemented on a cluster to achieve rapid density inversions for various scenarios, overcoming the problems of computation time and memory requirements caused by too many iterations. The proposed approach is mainly based on parallel programming using the Message Passing Interface, supplemented by Open Multi-Processing. Our implementation is efficient and scalable, enabling its use with large-scale data. We consider two synthetic models and real survey data from Vinton Dome, US, and demonstrate that our solutions are reliable and feasible. Keywords FTG Preconditioned conjugate gradient method MPI OpenMP

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