时域激电数据的Cole-Cole模型参数反演与应用

Cole-Cole Model Inversion Based on IP Data in Time-Domain

Cole-Cole模型的频谱参数可以用于区分引起激电异常的极化体和寻找深部矿(化)体。Cole-Cole模型参数以往由频谱激电数据求得,但它需要观测多个数据,野外工作效率低,而时间域数据的使用却是十分普遍。据此,提出了一种基于时间域激电数据的Cole-Cole模型参数的最小二乘反演方法。该方法根据频谱激电和时间域激电可以相互转换的理论,在时间域激电中,用几个不同延时段的视充电率计算出Cole-Cole模型参数。实例表明:利用Cole-Cole模型参数极大地丰富了时间域激发极化法的有效信息,可以区分一些常规激电法所不能区分的异常体,提高了时间域激电勘探能力。

The spectrum parameters of Cole - Cole model can be used to distinguish the polarization bodies and explore deep ore deposit by induced polarization abnormalities. Cole - Cole Model parameters can be mainly inversed by spectral induced polarization（SIP） data. While SIP data is observed by many frequencies,the working efficiency in field is very low. However,the time-domain induced polarization（TDIP） method is applied widely. In order to abstract Cole -Cole model parameters from TDIP, a least square method is presented to inverse Cole - Cole model parameters based on TDIP data in this paper. Because of the interconversion between SIP and TDIP, when different time-lapse apparent chargeabilities are enough, Cole -Cole medel parameters could be calculated with TDIP data. This method is simple and the inverted result is rehable. The practice indicates that Cole -Cole Model parameters can enrich the information of TDIP method and distinguish some abnormalities which apparent resistivity and apparent chargbilities could not. So this method could improve the exploration ability of TDIP.