应用常规测井属性分析进行地层结构划分

Division of Formation Structure Using Conventional Logging Attributes Analysis

为减小储层非均质性对储层精细评价的影响,一般都把储层细分为若干单元进行评价,从而提高储层评价精度。地层结构也是一种地层单元,它比沉积微相更细致,地层结构划分对储层精细评价也是一种可借鉴方法。研究综合了测井相分析的思路,利用测井曲线自动分层技术,通过测井属性分析提取了测井曲线的均值、正偏值、相对重心值、平均锯齿数和变差方根函数等测井属性参数,采用Bayes判别分析建立各类地层结构的判别模型进行地层结构识别。地层结构识别结果与取心地质分析结果吻合度较高。

In order to reduce the reservoir heterogeneity influence on fine reservoir evaluation,the reservoir is usually subdivided into several units to improve the precision of reservoir evaluation.The formation structure is more detailed stratigraphic unit than sedimentary microfacies,so the division of the formation structure for fine reservoir evaluation is also a reference method.Combined the analysis of log facies with logging attributes analysis,we extract the logging curve parameters by the logging curve automatic layering technology,such as,the log mean,positive bias,relative gravity value,average number of saw tooth and variation square root function.We establish the discrimination models of each formation structure using the Bayes discrimination analysis.Identification results of the formation structure and the logging features of the formation structure are basically consistent.