Rock typing of reservoirs is a vital step for successful field development plans to improve oil and gas recovery. In this context, the current study addresses a new approach for reservoir rocks characterization based on their electrical properties obtained from mathematical processing of well logs. That is modifying the conventional Kozeny–Carman model is achieved by taking into consideration the True Formation Resistivity () obtained from deep well logs. A log–log correlation between and square of normalized porosity () yields parallel straight lines (each represents a distinct Electrical Flow Unit ()) the intercept of which (at ) gives a unique parameter specified as ”Resistivity Zone Index” (). The validity of the proposed model is tested on log data obtained from 21 logged wells and 1135 core samples. values (calculated for each show a marked accuracy for representing reservoir. Additionally, permeability is calculated by core analysis for different intervals, and the Flow Zone Indicator () concept is applied to characterize reservoirs by Amaefule technique. Moreover, irreducible water saturation can be calculated for each rock type as well.

中文翻译：

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电阻率区指数：一种利用测井数据增强储层表征的岩石定型新方法

储层岩石分类是成功提高油气采收率的油田开发计划的重要一步。在这种背景下，当前的研究提出了一种基于测井数学处理获得的电特性来表征储层岩石特征的新方法。即通过考虑从深井测井获得的真实地层电阻率 () 来修改传统的 Kozeny-Carman 模型。归一化孔隙率 () 与平方之间的对数相关性产生平行直线（每条代表不同的电流单位 ()），其截距 (at ) 给出指定为“电阻率区指数”() 的唯一参数。该模型的有效性通过 21 口测井和 1135 个岩心样本获得的测井数据进行了测试。值（每个计算结果都显示出代表储层的显着准确性。此外，通过不同层段的岩心分析计算渗透率，并应用流动区指标（）概念通过 Amafule 技术来表征储层。此外，还可以计算束缚水饱和度也适用于每种岩石类型。