致密碳酸盐烃源岩流体分型概念的新途径

S. Steiner, L. Mosse, I. Raina
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引用次数: 0

摘要

孔隙度-流体系统的评价虽然具有挑战性,但在烃源岩油藏中具有重要意义。这是由于烃源岩中存在从沥青到轻烃的各种烃质量分数,以及同时存在有机和无机孔隙系统。在此类储层中,在比较总孔隙度和含水饱和度相似的储层时,流体类型和孔隙度系统较好的储层对流动的贡献要大于其他储层。本文以中东碳酸盐岩烃源岩为例,介绍了一种烃源岩孔隙流体分型方法。在两口井中获得了以下岩心测量数据:核磁共振T1-T2测量所收到的,油饱和和水饱和样品,2。有效孔隙度和总孔隙度及饱和度分析的蒸馏水测量溶剂萃取饱和度用于定量总烃饱和度;压汞毛细管压力分析估算孔喉尺寸分布。还对所有样品进行了TOC测量。对核磁共振二维图组合数据集进行盲源分离分析(Blind Source Separation analysis, BSS)分类,根据不同饱和状态下核磁共振二维图上的典型特征进行分类。使用BSS识别的类与其他核心测量相关联,为每个类分配物理意义。在此基础上,确定了三个关键的孔隙流体群。这些组分别是沥青储集孔隙、有机物储集孔隙和无机储集孔隙。通过整合MICP和SEM的结果,我们确定了在上述组中观察到的典型孔隙大小,并推荐了更好地促进流动的区域。最后,我们将结果与测井域中可用的有限测量结果联系起来,以预测具有更好流势的区域。
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New Approach to Fluid Typing Concepts in Tight Carbonate Source Rocks
Assessment of the porosity - fluid system, while challenging, is important in source rock oil plays. This is due to the wide range of hydrocarbon weight fractions, from bitumen to light hydrocarbon encountered in the source rock, along with the presence of both, the organic and the inorganic porosity systems, simultaneously. In such a play, while comparing zones of similar total porosity and water saturation, intervals with a better fluid type and porosity system will contribute more to the flow than other zones. In this paper an approach to poro-fluid typing a source rock is presented through examples from a carbonate source rock case study from the Middle East. The following core measurements were acquired on two wells: 1. NMR T1-T2 measurements on as received, oil saturated and water saturated samples, 2. Retort measurements for effective and total porosity and saturation analysis 3. Solvent extraction saturations for quantifying total hydrocarbon saturation, and 4. Mercury Injection Capillary Pressure Analysis for estimating pore throat size distribution. TOC measurements were also acquired on all the samples. A classification technique called the Blind Source Separation analysis (BSS) is carried out on the combined dataset of NMR 2D maps and various classes are identified based on the typical signatures observed on the maps in different saturation states. The classes identified using BSS were correlated to other core measurements to assign a physical meaning to each class. Based on the results, three key poro-fluid groups are identified. These groups are bitumen hosted porosity, porosity in the organics, and inorganic hosted porosity. By integrating results from MICP and SEM, we identify the typical pore sizes observed in the above groups and recommend zones that will bet better contributors to flow. Finally, we tie the results back to the limited measurements available in the log domain to predict zones with better flow potential.
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