来自硅橡胶储层和密封岩的岩屑的可靠表征方法——以新西兰为例

O. Aljallad, S GraderAbraham, S. Koronfol
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摘要

尽管岩石取心是表征储层和烃源岩地质和岩石物理特征的最佳方法,但这种方法被认为是昂贵的,每英尺的成本相对较高。另外,侧壁岩心和岩屑被广泛用于储层表征,成本相对较低。但是,由于岩屑物理条件差、粒度大、岩性和矿物学特征混杂等因素,该方法存在一定的局限性,使得常用的常规评价方法不适用。该研究引入了数字和常规岩心分析方法的强大组合,以克服这些局限性,并对来自新西兰两个含油气地层的储层和页岩岩屑进行了表征。最初,根据两个地层的岩屑尺寸对其进行筛选,然后根据使用立体显微镜观察到的纹理进行筛选。这有助于为主要鉴定的纹理选择具有代表性的岩屑。这些岩屑以40 ~ 4微米/体素的分辨率进行CT成像,以确定其岩石纹理和沉积结构,从而获得更好的表征结果。接下来,通过对不同岩石结构的岩屑进行压汞毛细管压力(MICP)、x射线衍射(XRD)和岩石学分析,了解岩屑样品的孔隙类型、结构变化、成岩覆印和矿物学特征。然后,使用Micro CT和3D FIB-SEM显微镜以最佳分辨率扫描它们。最后,对所有获取的图像进行数字分割,并创建三维岩石体。利用数值模拟技术,将这些体积用于计算孔隙度、渗透率、地层电阻率(FRF)和孔隙率趋势。常规和数字岩石分析表明,储层段的岩屑由泥质砂岩组成,计算孔隙度(18% ~ 31%)和渗透率(30 ~ 200md)非常好。另一方面,页岩烃源岩段的岩屑以粘土矿物为主,计算孔隙度为12% ~ 13%(主要为无机孔隙),绝对渗透率为0.5 ~ 4微达西。数字porperm趋势分析确定了每个地层不同的porperm趋势,有助于了解其岩石物理方面。传统方法与数字方法的结合,利用有限数量的岩屑,降低了成本和时间,更好地了解了地层的地质和岩石物理情况。
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Robust Characterisation Methods of Cuttings Derived from Siliciclastic Reservoir and Seal Rocks - A Case Study from New Zealand
Even though coring of rocks is the best way to characterize reservoir and source rocks geologically and petrophysically, this method is considered expensive, having a relatively high cost per foot. Alternatively, side-wall cores and cuttings are widely used in reservoir characterization at a relatively low cost. However, this method has limitations related to cuttings bad physical conditions, size, mixed lithological and mineralogical characteristics which make the commonly used conventional evaluation methods not applicable. This study introduces a robust combination of digital and conventional core analysis methods to overcome these limitations and characterize reservoir and shale cuttings derived from two hydrocarbon-bearing formations in New Zealand. Initially, all cuttings from both formations were screened based on their cutting sizes and later based on the visually observed textures using the stereomicroscope. This helped in selecting representative cuttings for the main identified textures. These cuttings were CT imaged at a resolution ranging from 40 to 4 microns/voxel resolution in order to confirm their rock textures and sedimentary structures for better characterization results. Next, mercury injection capillary pressure (MICP), X-ray diffraction (XRD), and petrographical analysis were conducted on all selected cuttings with different rock textures in order to understand the pore types, textural variations, diagenetic overprints and mineralogy of the cuttings samples. Then, they were scanned at optimum resolutions using Micro CT and 3D FIB-SEM microscopies. Finally, all acquired images were segmented digitally and 3D rock volumes were created. These volumes were used in computing porosity, permeability, formation factor resistivity (FRF) and poroperm trends digitally using numerical simulation techniques. Conventional and digital rock analysis showed that the cuttings derived from the reservoir interval are composed of an argillaceous sandstone with a very good computed porosity (18% up to 31%) and permeability (30 to 200 mD). On the other hand, the cuttings derived from the shale source rock interval, which were predominately composed of clay minerals, have a computed porosity of 12% to 13% (mainly inorganic pores) and an absolute permeability in the range of 0.5 to 4 Micro-Darcy. The digital poroperm trend analysis identified distinct poroperm trends for each formation which helped in understanding their petrophysical aspects. This integration between conventional and digital methods provided better geological and petrophysical understanding of both formations using a limited number of cuttings, less cost and time.
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