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测井信号是连续的深度数值序列,将深度域看作是时间域,测井信号可以进行属性提取分析。测井属性是指将测井数据经过各种数学变换而推导出的有关测井曲线的几何形态特征、统计学特征及物理特征的特殊度量值。目前提取的属性参数主要有能量属性、小波变换属性、分形属性、多元统计分析(特征参数)等四大类。它们与储层特征、岩性、物性、孔隙流体性质等有密切关系,由此提升测井地质应用能力。本文以长岭断陷火山岩储层为例,介绍了测井属性分析中的频谱分析方法原理、计算步骤和应用实例。
Logging signal is a continuous sequence of depth values, the depth domain as a time domain, logging signal can be extracted attribute analysis. Logging properties refer to the special measurement values of geometry, statistic and physical characteristics of log related to log data after various mathematical transformations. At present, the extracted attribute parameters mainly include energy attributes, wavelet transform attributes, fractal attributes and multivariate statistical analysis (characteristic parameters). They are closely related to reservoir characteristics, lithology, physical properties, pore fluid properties and so on, thereby enhancing logging geological application capabilities. Taking the volcanic reservoir in Changling Fault Depression as an example, this paper introduces the principle, calculation steps and application examples of spectrum analysis in logging attribute analysis.