Application of Hydraulic Flow Unit for Pore Size Distribution Analysis in Highly Heterogeneous Sandstone Reservoir: A Case Study
Application of Hydraulic Flow Unit for Pore Size Distribution Analysis in Highly Heterogeneous Sandstone Reservoir: A Case Study
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水力流动单元在高非均质砂岩储层孔径分布分析中的应用
DOI：
10.1627/jpi.61.246
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发表时间：
2018-09-01
影响因子：
1
通讯作者：
Du, Qizhen
中科院分区：
文献类型：
--
作者：
Ismail, Atif;Yasin, Qamar;Du, Qizhen
在没有先前暴露的岩心数据的情况下，根据井中的测井记录对储层孔隙尺寸进行可验证且准确的预测是用于估计孔隙尺寸的任何技术的期望结果。许多方法是基于岩心和破碎岩石样品，如薄片分析，扫描电子显微镜（SEM）和压汞毛细管压力（MICP）来表征孔隙特征，但这些方法由于成本高而不常用。本研究介绍了一种经济有效的方法，利用常规岩心分析数据和地球物理测井资料建立水力流动单元与孔隙尺寸分布之间的关系。采用多参数聚类分析方法，利用储层质量指数（RQI）和流动带指标，将储层岩石体积划分为具有相似岩石特征的水力流动单元。利用测井和岩心分析资料识别了储层段的水力流动单元。然后将判别方法应用于预测的水力流量单元，以访问孔径范围。具有高孔隙度和渗透率以及高RQI的预测水力流动单元揭示了一系列孔径（大孔和巨孔）。将所得结果与高分辨率岩石薄片研究和现有的经验方法进行比较，结果是可验证的和令人满意的。该研究可以以一种非常简单和经济的方式外推纵向以及相邻威尔斯井中的孔隙尺寸信息。
Verifiable and accurate prediction of reservoir pore sizes from well logs in a well with no previous exposure of core data is the desirable outcome for any technique intended to estimate pore size. Many methods are based on core and crushed rock samples such as thin section analysis, scanning electron microscope (SEM) and mercury intrusion capillary pressure (MICP) to characterize pore features but these methods are not commonly used because of their high cost. This study introduces a cost-effective approach to establish a relationship between hydraulic flow unit and pore size distribution using routine core analysis data and geophysical well logs. Multi-parameter cluster analysis is used to classify the reservoir rock volume into hydraulic flow unit with similar rock characteristics using reservoir quality index (RQI) and flow zone indicators. Well log and core analysis data were used to identify the hydraulic flow unit in the reservoir interval. The discriminant approach was then applied to the predicted hydraulic flow unit to access the range of pore sizes. The predicted hydraulic flow unit with high porosity and permeability and high RQI revealed a range of pore sizes (macro and mega pores). Comparing the obtained results with high-resolution rock thin section study and available empirical approaches indicated verifiable and satisfactory results. The study can extrapolate the pore size information vertically as well as in the neighboring wells in a quite simple and economical way.