这一结论为混沌时间序列分析方法应用于测井曲线识别领域提供了前提条件。
The obtained conclusion provides a premise for the application of chaotic time series analysis in well-log facies recognition.
测井曲线包含了丰富的地质信息，对研究地层多级别旋回性及识别地层信息多分辨突变具有优势。
Logging curve contains a great amount of geologic information and it has advantage in studying multilevel cycle of strata and in recognizing multi-resolution abrupt change of strata.
应用改进的基于数域上的模糊模式识别方法，综合多条测井曲线进行自动分层。
Multiple well logging curves are zoned automatically by developed fuzzy identification based on number field.
根据测井曲线，运用费歇准则导出了识别砂岩油层大孔道的判别函数，判别函数是测井曲线的线性组合。
In the paper, the discriminant function is derived from the Fisher principle to distinguish large pore paths in sandstone oil layers based on logging curves.
测井相识别是油田沉积相识别的重要内容，找出反应测井曲线本质的特征是模式识别的关键。
Recognition of log facies is the key to the recognition of deposition facies and the identification of the features representing the nature of log is very important for pattern recognition.
常规测井资料识别天然气主要依据三孔隙度测井曲线。
Identifying natural gas with conventional log data mainly is based on three porosity log curves.
常规测井资料识别天然气主要依据的是三孔隙度测井曲线。
Recognizing natural gas with convention log data mainly is based on 3 porosity log curves.
常规测井资料识别天然气主要依据的是三孔隙度测井曲线。
Recognizing natural gas with convention log data mainly is based on 3 porosity log curves.
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