碳酸盐岩类型基于地质的孔隙度-渗透率相关性

M. Dernaika, S. Masalmeh, Bashar Mansour, Osama Al Jallad, S. Koronfol
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引用次数: 3

摘要

在碳酸盐岩储层中,由于控制流体流动的各种地质变量的影响,渗透率预测往往很困难。利用理论和经验方程从孔隙度计算渗透率已经做了许多尝试。由于碳酸盐固有的非均质性和复杂的孔隙系统,所提出的渗透率模型一直受到质疑。本文的主要目的是解决不同碳酸盐岩类型的孔渗关系,并评价现有的渗透率预测模型。研究人员对中东地区7个不同碳酸盐岩储层的1000多个岩心桥塞进行了研究;主要为白垩系储层。这些桥塞经过精心挑选,以代表取心层段的主要性质变化。可用的数据集包括实验室测量的氦孔隙度、气体渗透率、薄层显微照片和高压压汞。为了确保样品不存在诱发裂缝和其他影响渗透率测量的异常,研究人员进行了Plug-scale x射线CT成像。在薄片显微照片上分析了岩石的结构,并根据其含量将其分为颗粒状、浑浊状和混合状。成岩作用主要是压实作用、胶结作用和溶蚀作用。将纹理信息绘制在孔隙度-渗透率域中,并发现产生三种不同的孔隙度-渗透率关系。每一种结构都有独特的孔-烫倾向,其程度受成岩作用的控制。通过详细的结构分析和毛细压力,确定了各走向的岩石类型。对三种不同的渗透率方程(Kozney、Winland、Lucia)进行了评价,研究了它们在复杂碳酸盐岩储层中的有效性。为了提高实验数据的预测结果,提出了一种新的渗透率方程。根据孔隙度、渗透率、毛细性和结构相成功划分了岩石类型。从岩石的结构性质和成岩作用中获得了决定性的孔隙度-渗透率关系,并利用毛管压力将其与岩石类型联系起来。基于构造-成岩作用的岩石类型为了解地质对流体流动和饱和度的影响提供了更多的见解。现有的模型可能不能完全描述非均质岩石的渗透率,但它们可以提高我们对流体流动特征的理解,并预测非取心井的渗透率。
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Geology-Based Porosity-Permeability Correlations in Carbonate Rock Types
In carbonate reservoirs, permeability prediction is often difficult due to the influence of various geological variables that control fluid flow. Many attempts have been made to calculate permeability from porosity by using theoretical and empirical equations. The suggested permeability models have been questionable in carbonates due to inherent heterogeneity and complex pore systems. The main objective of this paper is to resolve the porosity-permeability relationships and evaluate existing models for predicting permeability in different carbonate rock types. Over 1000 core plugs were studied from 7 different carbonate reservoirs across the Middle East region; mainly cretaceous reservoirs. The plugs were carefully selected to represent main property variations in the cored intervals. The data set available included laboratory-measured helium porosity, gas permeability, thin-section photomicrographs and high-pressure mercury injection. Plug-scale X-ray CT imaging was acquired to ensure the samples were free of induced fractures and other anomalies that can affect the permeability measurement. Rock textures were analyzed in the thin-section photomicrographs and were classified based on their content as grainy, muddy and mixed. Special attention was given to the diagenesis effects mainly compaction, cementation and dissolution. The texture information was plotted in the porosity-permeability domain, and was found to produce three distinct porosity-permeability relationships. Each texture gave unique poro-perm trend, where the extent of the trend was controlled by diagenesis. Rock types were defined on each trend by detailed texture analysis and capillary pressure. Three different permeability equations (Kozney, Winland, Lucia) were evaluated to study their effectiveness in complex carbonate reservoirs. A new permeability equation was proposed to enhance the prediction results of the experimental data. Rock types were successfully classified based on porosity, permeability, capillarity and textural facies. Conclusive porosity-permeability relationships were obtained from textural rock properties and diagenesis, which were linked to rock types using capillary pressure. The texture-diagenesis based rock types provided more insight into the effects of geology on fluid flow and saturation. Available models may not fully describe permeability in heterogeneous rocks but they can improve our understanding of fluid flow characteristics and predict permeability in un-cored wells.
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