样本分类及其在地层水电阻率计算中的应用

Sample Classification and Its Application in Formation Water Resistivity Calculation

调开井测井系列条件下,注水开发油田水淹层地层水电阻率不仅是水淹层评价十分重要的基础参数,也是制约水淹层评价的"瓶颈"。提出了样本母体分类方法,将来自不同母体的样本更好地划归到各自母体下,满足回归分析对样本的正态属性要求。在有效分类基础上,以自然电位测井为主,其他测井方法为辅,分类确定静自然电位的诸多影响因素及其内在关系,进而根据地层水电阻率与静自然电位理论关系求得水淹层地层水电阻率。具有井孔流体或井温测井的条件下,该方法均可获得满意的应用效果,为准确计算水淹层剩余油饱和度、定性划分水淹层提供必要参数。给出的样本分类方法对各种领域多元参数回归应用具有重要意义。

Under the condition of logging series of adjustment wells, formation water resistivity of water-flooded zone is not only an important fundamental parameter but also an ＂bottleneck＂ or tough problem restricting water-flooded zone evaluation. Through summary and analysis of previous works, presented is a sample parent classification that stakes out the sample from different parents to one＇s respective parent so to meet the requirement of regression analysis to normality attribute of the sample. On the basis of effective classification and with SP logging as the main method and some other logging methods as the supplemental ones, classified are a good many influencing factors of static SP and their internal relations, and then water-flooded formation resistivity can be calculated through theoreical equation of formation water resistivity and static SP data. Under the condition of borehole fluid or temperature logging, the method can achieve positive effect and provide essential parameters for calculating residual oil saturation in water-flooded zone precisely and dividing water-flooded zone. The sample classification method provided is adaptable to multivariate parameters regression analysis of various fields.