储集层测井信号的非线性混沌特性

Non-Linear Chaos Characteristics of Reservoir Logging Signals

对测井信号的特征提取采用非线性分析方法。利用非平稳信号分析方法——游程检验法,分析松辽盆地某井储集层测井数据的非平稳特性;在此基础上,采用非线性混沌方法对测井数据进行最大Lyapunov指数提取。结果表明:储集层测井序列具有非平稳特性;最大的Lyapunov指数大于零,表明了储集层测井序列具有混沌特征。为此,储集层测井信息的提取可采用非线性混沌理论方法,以便更有效地描述测井信息特征。

Non-linear analysis methods were used to extract characteristics information included in logging signals.Using one of analysis methods of non-stationary signal—the run-length method,non-stationary characteristics of reservoir well logging data can be analyzed.On this basis,the largest Lyapunov exponent of chaotic characteristics was extracted by non-linear chaos method.The results showed that the reservoir logging signals have non-stationary characteristics,in the same time,that the largest Lyapunov exponent is greater than zero,which indicate that logging data have chaotic characteristics.For this reason,non-linear chaos theory methods can be adopted to extract information of reservoir well logging in order to effectively describe characteristics of real reservoir well logging data.