Journal of Jilin University(Earth Science Edition) ›› 2018, Vol. 48 ›› Issue (2): 384-393.doi: 10.13278/j.cnki.jjuese.20170262

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Three-Dimensional Fast Gravity Inversion Using Parallel Preconditioned Algorithm

Wang Taihan1, Huang Danian1, Ma Guoqing1, Li Ye2, Lin Song1   

  1. 1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China;
    2. Jilin Provincial Electric Power Survey and Design Institute, Changchun 130021, China
  • Received:2017-09-23 Online:2018-03-26 Published:2018-03-26
  • Supported by:
    Supported by National Key Research and Development Program of China(2017YFC0602203,2017YFC0601606), National Science and Technology Major Project Task (2016ZX05027-002-03) and National Natural Science Foundation of China (41604098,41404089,41430322)

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Abstract: With the dramatic development of the geophysical equipment and exploration technology, the demand of rapid processing of large-scale geophysical data has been increasing. In order to solve the time-consuming problem of three dimensional gravity data inversion, a parallel implementation of preconditioned conjugate gradient algorithm is proposed to improve the computation efficiency. We adopted and tested two different preconditioned strategies with synthetic data, and evaluated their acceleration quality through observing the residual error of iterations and the running time. The results indicate that the symmetric successive over-relaxation (SSOR) preconditioner has a better performance with density results closer to the true model. Compared with the conventional conjugate gradient algorithm in serial code, our parallel preconditioned conjugated gradient algorithm can result in up to approximately 19x speedup. We used it to the real gravity data from the Vinton salt dome in USA, and the inversion results well delineated the location of the cap-rock, which verified the high efficiency and feasibility of this parallel preconditioned conjugate gradient algorithm in 3D fast gravity inversion.

Key words: 3D gravity inversion, preconditioned conjugate gradient algorithm, parallel algorithm, symmetric successive over-relaxation iteration method

CLC Number: 

  • P631.1
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