THE INDUCTION LOGGING INVERSION BASED ON PARTICLE SWARM OPTIMIZATION
XIONG Jie1, LIU Cai-yun2, ZOU Chang-chun3
1. School of Electronics and Information, Yangtze University, Jingzhou 434023, China;
2. Freshman Education Department, Yangtze University, Jingzhou 434023, China;
3. School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China
This paper proposes a particle swarm optimization inversion algorithm for avoiding the dependency on initial model and local solution. This algorithm is applied to induction logging inversion on the models of different thickness layers, and yields consistent results with the models in the noise-free case. When noises of 5%, 10% and 20% are added to the models, the results of inversions remain fairly good. Numerical experiment results demonstrate that this particle swarm optimization inversion algorithm has advantages of being independent of initial models, capable of global optimization and anti-noise, and making induction logging data inversion more effective.
熊杰, 刘彩云, 邹长春. 基于粒子群优化算法的感应测井反演[J]. 物探与化探, 2013, 37(6): 1141-1145.
XIONG Jie, LIU Cai-yun, ZOU Chang-chun. THE INDUCTION LOGGING INVERSION BASED ON PARTICLE SWARM OPTIMIZATION. Geophysical and Geochemical Exploration, 2013, 37(6): 1141-1145.
[1] 熊杰, 邹长春, 孟小红.不完全LU分解预条件BICGSTAB算法实现感应测井二维FDFD快速正演模拟[J].现代地质, 2012, 26 (6) :1283-1288.[2] 李志强, 范宜仁, 邓少贵, 等.基于改进差分进化算法的阵列侧向测井反演[J].吉林大学学报:地球科学版, 2010, 40 (5) :1199-1204.[3] 康俊佐.电磁传播电阻率测井的二维全参数反演方法研究[J].地球物理学报, 2006, 49 (1) :275-283.[4] 汪宏年, 陶宏根, 王桂萍, 等.双感应测井资料的快速近似迭代反演[J].地球物理学报, 2007 (05) :1614-1622.[5] 成志刚, 孙宝佃, 刘振华, 等.高分辨率双侧向测井和双感应测井数据联合反演研究与应用[J].测井技术, 2010, 34 (6) :542-547.[6] 谢关宝.高频感应测井非线性反演技术及其应用[J].测井技术, 2011, 35 (3) :234-237.[7] 顿月芹.阵列侧向电法测井的快速反演[J].清华大学学报, 2009, 49 (11) :1871-1875.[8] 师学明.层状介质大地电磁的自适应量子遗传反演法[J].地球科学:中国地质大学学报, 2009, 34 (4) :691-698.[9] 徐海浪, 吴小平.电阻率二维神经网络反演[J].地球物理学报, 2006, 49 (2) :584-589.[10] Fernandez-Martinez J L. PSO:A powerful algorithm to solve geophysical inverse problems Application to a 1D-DC resistivity case[J].Journal of Applied Geophysics, 2010:71.[11] 熊杰.基于差分进化的大地电磁反演[J].物探与化探, 2012, 36 (3) :448-451.[12] Kennedy J, Eberhart R C. Particle Swarm Optimization[C]// IEEE International Conference on Neural Networks. NJ: IEEE Service Center.1995.[13] Poli R. Analysis of the publications on the applications of particle swarm optimization[J].Journal of Artificial Evolution and Applications, 2008, (1) :1-10.[14] Yuan S Y, Wang S X, Nan T. Swarm intelligence optimization and its application in geophysical data inversion[J].Applied Geophysics, 2009, 6 (2) :166-174.[15] Yi Y Y, Yuan S Y, Shi X M. Wave impedance inversion using PSO algorithm. in Second International Symposium on Intelligence Computation and Applications, 2007, China.[16] Shaw R, Srivastava S.Particle swarm optimization: A new tool to invert geophysical data[J].Geophysics, 2007, 72 (2) :F75-83.[17] 李志强, 范宜仁, 邓少贵, 等.基于随机粒子群的Newton_SVD方法的电测井反演[J].计算物理, 2010, 27 (1) :115-120.[18] 熊杰.基于地质约束的感应测井非线性正反演研究[D].北京:中国地质大学, 2012.
