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Cluster Computing

, Volume 20, Issue 4, pp 2881–2890 | Cite as

Research on the parameter inversion problem of prestack seismic data based on improved differential evolution algorithm

  • Qinghua Wu
  • Zhixin Zhu
  • Xuesong YanEmail author
Article

Abstract

The parameter inversion technology composed by intelligent algorithm and AVO inversion for prestack seismic data provides a comparatively effective identification method for oil-gas exploration. However, traditionally intelligent iterative algorithm, such as, genetic algorithm, shows many disadvantages in solving this problem, including highly depending on initial model, fast convergence in algorithm and being easy to fall into local optimal. Therefore, an unsatisfied inversion performance is produced. In order to solve the above problems, this paper proposes a parameter inversion method based on improved differential evolution algorithm which is better in solving parameter inversion problems of prestack seismic data. In the proposed algorithm, aims at the Aki and Rechard approximation formula used specific initialization strategy, then the initialization parameter curve more smooth. Otherwise, the new algorithm has many advantages, such as, fast computing speed, simple operation, a low independence to initial model and good global convergence, this algorithm is the right choice in solving the parameter inversion problem based on pre-stack seismic data of real number encoding.

Keywords

Differential evolution algorithm Prestack seismic data Parameter inversion initialization strategy 

Notes

Acknowledgements

This paper is supported by Natural Science Foundation of China. (Nos. 41404076, 61673354), the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan), and the State Key Laboratory of Intelligent Control and Decision of Complex Systems.

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.Faculty of Computer Science and EngineeringWuHan Institute of TechnologyWuhanChina
  2. 2.School of Computer ScienceChina University of GeosciencesWuhanChina

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