Improved method of particle swarm impedance inversion and its application

  • CHE Hongchang ,
  • REN Yaoyu ,
  • LIU Hanping ,
  • LIU Zhao
Expand
  • College of Geophysics, Chengdu University of Technology, Chengdu 610059, China

Online published: 2011-02-20

Abstract

A new method of particle swarm optimization(PSO) impedance inversion is proposed because of the short comings of conventional PSO algorithm which has slow convergence rate and low inversion efficiency. The algorithm uses PSO algorithm to calculating the sample number and impedance for each layer of the model, and then uses the scanning method to obtain the optimal number of the layer. Compared with conventional PSO algorithm, the examples of synthetic data showthat the method significantly improves the inversion accuracy and convergence rate, and the actual data also proves the validity of this method.

Cite this article

CHE Hongchang , REN Yaoyu , LIU Hanping , LIU Zhao . Improved method of particle swarm impedance inversion and its application[J]. Lithologic Reservoirs, 2011 , 23(1) : 103 -106 . DOI: 10.3969/j.issn.1673-8926.2011.01.018

References

[1] 王西文,石兰亭,雍学善,等.地震波阻抗反演方法研究[J].岩性油气藏,2007,19(3):80-88.
[2] 文钢锋,王智,韩军,等.地质模型反演预测隐蔽油气藏[J].岩性油气藏,2009,21(1):94-98.
[3] 刘全新,高建虎,董雪华.储层预测中的非线性反演方法[J].岩性油气藏,2007,19(1):81-85.
[4] 刘全新,方光建.利用模拟退火算法实现地震叠前反演[J].岩性油气藏,2010,22(1):87-92.
[5] 王辉,张玉芬.基于模型的叠前数据多参数非线性反演[J].岩性油气藏,2008,20(2):108-113.
[6] Kennedy J,Eberhart R. Particle swarm optimization [C]∥IEEE International Conference on Neural Networks. Proceedings of IEEE International Conference,1995:1 942-1 948.
[7] Eberhart R,Kennedy J. A new optimizer using particle swarm theory [C]∥Micro Machine and Human Science. Proceedings of the Sixth International Symposium,1995:39-43.
[8] 徐刚,瞿金平,杨智韬.一种改进的自适应粒子群优化算法[J].华南理工大学学报,2008,36(9):6-10.
[9] 江宝钏,胡俊溟.求解多峰函数的改进粒子群算法的研究[J].宁波大学学报,2008,21(2):150-154.
[10] 赵全友,潘保昌,郑胜林.基于群评价的带变异粒子群算法[J].计算机工程与应用,2009,45(12):57-59.
[11] 易远元,袁三一,黄凯,等.地震波阻抗反演的粒子群算法实现[J].石油天然气学报,2007,29(3):79-81.
Outlines

/