{"title":"碳酸盐岩储层岩石类型方法综述:地质、地震和储层岩石类型的关系","authors":"A. Kadkhodaie-Ilkhchi, Rahim Kadkhodaie-Ilkhchi","doi":"10.22050/IJOGST.2019.136243.1461","DOIUrl":null,"url":null,"abstract":"Carbonate reservoirs rock typing plays a pivotal role in the construction of reservoir static models and volumetric calculations. The procedure for rock type determination starts with the determination of depositional and diagenetic rock types through petrographic studies of the thin sections prepared from core plugs and cuttings. In the second step of rock typing study, electrofacies are determined based on the classification of well log responses using an appropriate clustering algorithm. The well logs used for electrofacies determination include porosity logs (NPHI, DT, and RHOB), lithodensity log (PEF), and gamma ray log. The third step deals with flow unit determination and pore size distribution analysis. To this end, flow zone indicator (FZI) is calculated from available core analysis data. Through the application of appropriate cutoffs to FZI values, reservoir rock types are classified for the studying interval. In the last step, representative capillary pressure and relative permeability curves are assigned to the reservoir rock types (RRT) based upon a detailed analysis of available laboratory data. Through the analysis of drill stem test (DST) and GDT (gas down to) and ODT (oil down to) data, necessary adjustments are made on the generated PC curves so that they are representative of reservoir conditions. Via the estimation of permeability by using a suitable method, RRT log is generated throughout the logged interval. Finally, by making a link between RRT’s and an appropriate set of seismic attributes, a cube of reservoir rock types is generated in time or depth domain. The current paper reviews different reservoir rock typing approaches from geology to seismic and dynamic and proposes an integrated rock typing workflow for worldwide carbonate reservoirs.","PeriodicalId":14575,"journal":{"name":"Iranian Journal of Oil and Gas Science and Technology","volume":"39 1","pages":"13-35"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"A Review of Reservoir Rock Typing Methods in Carbonate Reservoirs: Relation between Geological, Seismic, and Reservoir Rock Types\",\"authors\":\"A. Kadkhodaie-Ilkhchi, Rahim Kadkhodaie-Ilkhchi\",\"doi\":\"10.22050/IJOGST.2019.136243.1461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Carbonate reservoirs rock typing plays a pivotal role in the construction of reservoir static models and volumetric calculations. 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引用次数: 18
摘要
碳酸盐岩储层岩石类型在储层静态模型的建立和体积计算中起着至关重要的作用。确定岩石类型的程序首先通过岩石学研究岩心塞和岩屑制备的薄片来确定沉积和成岩岩石类型。在岩石分型研究的第二步,根据测井响应的分类,使用适当的聚类算法确定电相。用于电相测定的测井资料包括孔隙度测井(NPHI、DT和RHOB)、岩石密度测井(PEF)和伽马射线测井。第三步是流动单元的确定和孔径分布的分析。为此,根据现有岩心分析数据,计算出流动区指标FZI。通过对FZI值应用合适的截止值,对研究层段进行储层岩石类型划分。最后,在详细分析现有实验室数据的基础上,对储层岩石类型(RRT)进行代表性毛管压力和相对渗透率曲线的划分。通过对钻杆测试(DST)、GDT (gas down to)和ODT (oil down to)数据的分析,对生成的PC曲线进行必要的调整,使其能够代表储层条件。通过采用合适的方法估算渗透率,生成整个测井层段的RRT测井。最后,通过将RRT与一组合适的地震属性联系起来,在时间或深度域中生成储层岩石类型的立方体。本文综述了从地质到地震、动力等不同的储层岩石分型方法,提出了一套适用于全球碳酸盐岩储层的综合岩石分型工作流程。
A Review of Reservoir Rock Typing Methods in Carbonate Reservoirs: Relation between Geological, Seismic, and Reservoir Rock Types
Carbonate reservoirs rock typing plays a pivotal role in the construction of reservoir static models and volumetric calculations. The procedure for rock type determination starts with the determination of depositional and diagenetic rock types through petrographic studies of the thin sections prepared from core plugs and cuttings. In the second step of rock typing study, electrofacies are determined based on the classification of well log responses using an appropriate clustering algorithm. The well logs used for electrofacies determination include porosity logs (NPHI, DT, and RHOB), lithodensity log (PEF), and gamma ray log. The third step deals with flow unit determination and pore size distribution analysis. To this end, flow zone indicator (FZI) is calculated from available core analysis data. Through the application of appropriate cutoffs to FZI values, reservoir rock types are classified for the studying interval. In the last step, representative capillary pressure and relative permeability curves are assigned to the reservoir rock types (RRT) based upon a detailed analysis of available laboratory data. Through the analysis of drill stem test (DST) and GDT (gas down to) and ODT (oil down to) data, necessary adjustments are made on the generated PC curves so that they are representative of reservoir conditions. Via the estimation of permeability by using a suitable method, RRT log is generated throughout the logged interval. Finally, by making a link between RRT’s and an appropriate set of seismic attributes, a cube of reservoir rock types is generated in time or depth domain. The current paper reviews different reservoir rock typing approaches from geology to seismic and dynamic and proposes an integrated rock typing workflow for worldwide carbonate reservoirs.