首页> 外文期刊>Journal of Petroleum Exploration and Production Technology >A new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventional log data
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A new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventional log data

机译:使用钻孔图像和常规日志数据对高复杂的碳酸盐储层中的异质性分析的新方法

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This study outstretches a new method to specify the heterogeneity of the studied reservoir by combining BHI (Borehole Image Log) and conventional log data for 4 existing wells. The first step to achieve this goal was utilizing borehole electrical images to assess the quantity of vugs/modals fraction and porosity distribution. Spectrum porosity was calculated through probabilistic analysis based on core and FMI data which has specified two general types of porosity in studied field as primary porosity (microporosities and intercrystalline) and secondary porosity (vugs). Due to irregular dispersion, non-categorization, and scattering of the porosity–permeability graph obtained from laboratory core data, next step was using petrophysical image facies prediction for generating an electrical facies to incorporate the different reservoir quality. This lithology (litho types) is produced by BHI analysis which reflects geological and petrophysical properties of the field. Then a porosity–permeability cross-plot has been made based on core data and produced facies codes which build in the previous step to check the validity of BHI Facies code extraction. Finally, heterogeneity analysis has been done through an innovative step-by-step workflow to determine spectrum porosity log which is divided into 6 categories/portions as Resistive, Matrix, Isolated, Connected, Bed boundaries and Fractures porosity.
机译:本研究通过组合BHI(钻孔图像日志)和4个现有井的传统日志数据来指定研究的新方法来指定所研究的储存器的异质性。实现该目标的第一步是利用钻孔电气图像来评估Vug /模态分数和孔隙率分布的量。通过基于核心和FMI数据的概率分析来计算光谱孔隙率,所述核心和FMI数据在研究领域中指定了两种常规孔隙率作为初级孔隙率(微孔和肾间)和次级孔隙率(Vugs)。由于从实验室核心数据获得的不规则分散,非分类和散射的孔隙率渗透性图,下一步是使用岩石物理图像相面预测,用于产生不同的储层质量。这种岩性(Litho类型)由BHI分析产生,反映了该领域的地质和岩石物理特性。然后,基于核心数据和产生的相表代码进行了孔隙率磁带曲线,其在前一步骤中构建,以检查BHI相表的有效性。最后,通过创新的逐步的工作流程进行了异质性分析,以确定频谱孔隙度原木,该频谱孔隙度原木被分成6个类别/部分作为电阻,矩阵,隔离,连接,床边界和裂缝孔隙率。

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