Non-Linear Chaos Characteristics of Reservoir Logging Signals
详细信息
- 责任者：Nie Chunyan (College of GeoExploration Science and Technology ; Jilin University ; Changchun 130026 ; China) ; Wang Zhuwen
- 刊名：Journal of Jilin University
- 出版年：2011
- 卷期：41(1)
- 关键词：储层预测 ; reservoir prediction ; 测井曲线 ; logging curves
- 页码：p.305-309,315
- 图表：3 illus., 12 refs.
- 分类号：1600
- issnNo：ISSN1671-5888
- isbnNo：CN22-1343/P
摘要
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.
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