Inversion Study of Spectral Induced Polarization Based on Improved Genetic Algorithm
As a kind of electromagnetic exploration method in frequency domain,spectral induced polarization (SIP) technique is a branch of electromagnetic exploration methods in geophysics exploration,which is widely used in environmental and engineering geophysical prospecting, as well as mineral exploration,oil & gas and coal exploration. In the theory of SIP data interpretation,inversion of three spectral induced polarization parameters (m,τand c) in Cole-Cole model is a basic job. Due to their respective special character in the function expression, the inversion of m,τ and c from frequency spectral response data based on linear inversion theory is usually instable and even sometimes not convergent when data have a little errors. In this paper,we adopt a kind of improved genetic algorithm to implement inversion. Inversion on one Cole-Cole model shows that the algorithm converges fast,has very good stability and high precision, and even can permits the observed data random error up to 15％. Inversion on two Cole-Cole models,which simulates the fact that the effects of electromagnetic and induced polarization exist simultaneously,show the algorithm is still fast convergence and high precision, and permits a few observed data error (say,5％ random error). Only when random errors add up to 10％, the results of inversion begin to become obvious error.
Zhonglin Cao Yanjun Chang Yanzhong Luo
China University of Geosciences,China
国际会议
Progress in Electromagnetics Research Symposium 2005(2005年电磁学研究新进展学术研讨会)(PIERS 2005)
杭州
英文
266-270
2005-08-22（万方平台首次上网日期，不代表论文的发表时间）