首页> 外文期刊>Journal of Natural Gas Geoscience >Quantification of clay mineral microporosity and its application to water saturation and effective porosity estimation: A case study from Upper Ordovician reservoir, Libya
【24h】

Quantification of clay mineral microporosity and its application to water saturation and effective porosity estimation: A case study from Upper Ordovician reservoir, Libya

机译:粘土矿物微孔量化及其在含水饱和度和有效孔隙度估算中的应用-以利比亚上奥陶统储层为例

获取原文
           

摘要

The relative volume of clay minerals contributing to the microporosity is the main feature that influences the estimation of water saturation in hydrocarbon reservoirs. For developing a genuine understanding of reservoir quality, the present study elucidated the petrography, quantification of clay minerals, and microporosity, besides their effect on the petrophysical parameters. The ratified method is an integration of core data, SEM (Scanning Electron Microscopy), XRD, and thin section. The most identified clay minerals in order of decreasing abundance are kaolinite (45%), Illite (35%), a mixed layer (10%), smectite (5%) and others are 5%. The estimation of clay mineral microporosity was based on the SEM photomicrographs. Mixed clay minerals have a variety of textures with microporosity values that range from 10 to 55%. In this regard, the clay microporosity data was used to calculate the effective clay volume; the clay bound water, the effective water saturation and porosity. As a result, the estimated values are decreased when the microporosity is considered, except for the effective volume of clay minerals which is approximately twice (52.5%) as the original dry mineral volume. Moreover, the microporosity based water saturation decreased dramatically when compared to log values up to 22. 37%. The above-estimated values correlated with both core and log readings using linear regression. The derived relationships with a high correlation coefficient (R2) were used to extrapolate microporosity, clay bound water, effective saturation and effective porosity in the uncored well interval. The correlation coefficient R2is higher than 90%.
机译:影响微孔性的粘土矿物的相对体积是影响烃类储层含水饱和度估算的主要特征。为了发展对储层质量的真正了解,本研究阐明了岩相学,粘土矿物的定量和微孔隙度,以及它们对岩石物理参数的影响。批准的方法是将核心数据,SEM(扫描电子显微镜),XRD和薄切片集成在一起。数量最多的粘土矿物按含量递减的顺序依次是高岭石(45%),伊利石(35%),混合层(10%),蒙脱石(5%),其他为5%。粘土矿物微孔率的估计是基于SEM显微照片。混合粘土矿物具有多种质地,其微孔率范围为10%至5​​5%。在这方面,使用粘土的微孔率数据来计算有效的粘土体积。黏土结合水,有效水饱和度和孔隙率。结果,当考虑到微孔性时,估计值会降低,除了粘土矿物的有效体积约为原始干燥矿物体积的两倍(52.5%)。此外,与基于22的对数值相比,基于微孔的水饱和度急剧下降。37%。以上估计值与使用线性回归的岩心和对数读数均相关。具有高相关系数(R2)的推导关系用于推断无芯井段内的微孔率,黏土结合水,有效饱和度和有效孔隙率。相关系数R2高于90%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号