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Analysis of Non-stationary and Extraction of Chaotic Characteristics about Logging Signals

机译:测井信号的非平稳和混沌特性提取分析

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Traditional linear analysis methods are difficult to assess dynamics structure of logging signals and to reveal the intrinsic characteristics of the reservoir layer. In this paper, the analysis methods of non-stationary signals and the extraction methods of chaotic properties were given. The run-length method is adopted to verify non-stationary characteristics of real logging data, in the same time, the largest Lyapunov exponent of chaotic properties was extracted. The results showed that the logging signals have non-stationary and chaos properties.
机译:传统的线性分析方法难以评估测井信号的动力学结构和揭示储层的内在特征。给出了非平稳信号的分析方法和混沌特性的提取方法。采用游程法验证了真实测井数据的非平稳性,同时提取了混沌性质的最大李雅普诺夫指数。结果表明,测井信号具有非平稳和混沌特性。

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