Critical factors of carbonate pore systems: Implications for reservoirs in the Middle East. 9th Middle East Geosciences Conference, GEO 2010.

O. Weidlich
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Abstract

Generating predictive models for reservoir quality distribution is challenging for carbonate reservoirs. Usually, quantitative porosity data for these models are exclusively derived from conventional core-plug measurements or log data (log-derived effective porosity, bulk density, interval transit time, and nuclear magnetic resonance in rare cases). For this study, conventional porosity-permeability plots from plugs and log data of Cretaceous and Jurassic carbonates were analysed using data from several offshore wells in Qatar. The following observations are based on data from Kharaib, Yamama, Upper Sulaiy, Lower Sulaiy and Arab samples: (1) Porosity-permeabilty plots of the above stratigraphic units show a significant overlap of data despite some minor trends. (2) Core plug porosity data do not decrease with depth. (3) Cross plots of log-derived and core-plug porosities show no trend; for example core-plug porosities were higher, similar or lower than equivalent porosity log data (notably neutron pososity). Our observations suggest that additional parameters need to be considered to improve reservoir models. The concept of reservoir rock types has been repeatedly regarded as an effective tool that integrates geologic observations with porosity and permeability data. We combine under consideration of sedimentologic and diagenetic factors conventional porosity data from plugs and logs with image analysis-based pore size, analysis from high-resolution core photos and thin sections. With this approach we established a six-fold reservoir rock type concept for the investigated Jurassic – Cretaceous carbonates to better characterize the variability of pore space and pore geometries of reservoir units.
碳酸盐孔隙系统的关键因素:对中东地区储层的影响。第九届中东地球科学会议,2010。
对于碳酸盐岩储层来说,建立储层质量分布预测模型是一个挑战。通常,这些模型的定量孔隙度数据完全来自常规的岩心塞测量或测井数据(测井导出的有效孔隙度、体积密度、层间传递时间,在极少数情况下还包括核磁共振数据)。在这项研究中,利用卡塔尔几口海上油井的数据,分析了白垩纪和侏罗纪碳酸盐岩桥塞的常规孔隙度-渗透率图和测井数据。根据Kharaib、Yamama、上苏莱、下苏莱和阿拉伯样品的数据,观察到:(1)上述地层单元的孔隙-渗透率图显示出明显的数据重叠,尽管有一些较小的趋势。(2)岩心桥塞孔隙度数据不随深度减小。(3)测井孔隙度与岩心塞孔度的交叉图没有变化趋势;例如,岩心塞孔隙度高于、接近或低于等效孔隙度测井数据(尤其是中子孔隙度)。我们的观察结果表明,需要考虑其他参数来改进储层模型。储层岩石类型的概念一直被认为是将地质观测与孔隙度和渗透率数据相结合的有效工具。考虑到沉积学和成岩因素,我们将常规孔隙度数据与基于图像分析的孔隙度数据、高分辨率岩心照片和薄片分析相结合。利用该方法,我们为所研究的侏罗系-白垩系碳酸盐岩建立了6层储层岩石类型概念,以更好地表征储层单元孔隙空间和孔隙几何形状的可变性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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