基于高耦合地质描述和岩石物理性质的复杂碳酸盐岩分型与饱和度模拟

E. BinAbadat, H. Bu-Hindi, Omar Al-Farisi, Atul Kumar, Kamel Zahaf, L. Ibrahim, Yaxin Liu, C. Darous, L. Barillas
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引用次数: 6

摘要

储层岩石分型和饱和度建模需要两方面的方法。一面是岩石类型的地质一面,以填充地质概念中的属性。另一方面是利用毛细压力解决储层流动和动态初始化问题。两者兼顾是难点,特别是在成岩和运移历史复杂的碳酸盐岩储层中。本文的目的是描述在一个复杂的碳酸盐岩储层中所获得的方法和结果。该方法从岩心的沉积学描述开始,并辅以薄片的微相。岩心型岩石类型以岩石组构为主,并以胶结和溶蚀成岩作用为主。这些组仅限于相似的孔喉尺寸分布和孔渗关系,以便与后期的属性建模保持一致。在对数尺度上,岩石类型的重点是使用所有井中最合适的测井曲线来估计渗透率。这些测井曲线包括孔隙度、矿物体积、侵入区归一化饱和度(Sxo)、钻孔图像或核磁共振(NMR)的宏观孔隙度、核磁共振T2测井曲线的平均弛豫和声波测井曲线的刚度。为了更好地评估渗透率并进一步解释饱和度历史,还包括了识别焦油存在的具体计算。MICP数据根据孔喉尺寸的模态定义了饱和高度函数。利用测井计算的饱和度和SHFs来确定自由水位(FWL)位置并解释运移历史。岩石类型分类来源于沉积学描述和成岩作用,与储层的地质特征密切相关。我们在所有感兴趣的地层中总共确定了21种岩石类型。我们将岩石类型与沉积环境联系起来,从潮上沉积到开阔海相沉积,这些沉积环境控制着原始岩石组构和成岩过程。岩石类型分类也适用于渗透率和饱和度的建模,因为在分类过程中使用了岩心岩石物理测量。通过测井资料估算渗透率采用多元回归方法,在对每个层位和每个岩性进行主成分分析后,该方法对渗透率非常敏感。岩心渗透率与测井所得渗透率的差值保持在1倍的标准差范围内,而最初的孔隙度-渗透率差值为3倍。将岩石类型划分为3个饱和高度函数(SHF)类;(单峰白云岩,单峰石灰岩和多峰石灰岩)。由测井曲线和SHF计算得到的含水饱和度(Sw)具有良好的一致性。本文描述的储层岩石类型和饱和度建模方法考虑了地质特征和岩石物理性质,以解决复杂的成岩作用和运移后流体蚀变和运动过程。
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Complex Carbonate Rock Typing and Saturation Modeling with Highly-Coupled Geological Description and Petrophysical Properties
Reservoir Rock Typing and saturation modeling need a two-sided methodology. One side is the geological side of the rock types to populate properties within geological concepts. The other side is addressing reservoir flow and dynamic initialization with capillary pressure. The difficulty is to comply with both aspects especially in carbonates reservoirs with complex diagenesis and migration history. The objective of this paper is to describe the methodology and the results obtained in a complex carbonate reservoir. The approach is initiated from the sedimentological description from cores and complemented with microfacies from thin sections. The core-based rock types use the dominant rock fabrics, as well as the cementation and dissolution diagenetic processes. The groups are limited to similar pore throat size distribution and porosity-permeability relationships to stay compatible with property modeling at a later stage. At log-scale, the rock typing has a focus on the estimation of permeability using the most appropriate logs available in all wells. Those logs are porosity, mineral volumes, normalized saturation in invaded zone (Sxo), macro-porosity from borehole image or Nuclear Magnetic Resonance (NMR), NMR T2 log mean relaxation, and rigidity from sonic logs. A specific calculation to identify the presence of tar is also included to assess the permeability better and further interpret the saturation history. The MICP data defined the saturation height functions, according to the modality of the pore throat size. The log derived saturation, and the SHFs are used to identify Free Water Level (FWL) positions and interpret the migration history. The rock typing classification is well connected with the geological aspects of the reservoirs since it originates from the sedimentological description and the diagenetic processes. We identified a total of 21 rock types across all the formations of interest. We associated rock types with depositional environments ranging from supra-tidal to open marine that controls both the original rock fabrics and the diagenetic processes. The rock typing classification is also appropriate to model permeability and saturation since core petrophysical measurements were in use during the classification. The permeability estimation from logs uses multivariate regressions that have proven to be sensitive to permeability after a Principal Component Analysis per zones and per lithologies. The difference between the core permeability and the permeability derived from logs stays within one-fold of standard deviation as compared to the initial 3-fold range of porosity-permeability. We assigned the rock types with three Saturation Height Function (SHF) classes; (unimodal-dolomite, unimodal- limestone & Multimodal-Limestone). The log derived water saturation (Sw) from logs and SHF shows acceptable agreement. The reservoir rock typing and saturation modeling methodology described in this paper are considerate of honoring geological features and petrophysical properties to solve for complex diagenesis and post-migration fluid alteration and movement processes.
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