大碳酸盐孔隙系统数据库的精选结果:以沙特阿美石油公司为例

S. S. Din, E. Clerke, Ahmad Badawi
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引用次数: 0

摘要

碳酸盐岩储层的复杂性是通过使用“非均质”这一通用术语来描述和隐藏的,通常很少花费认真的努力来定义和量化该术语的含义和维度。作为世界上最大的碳酸盐岩储层石油储量的管理者,沙特阿美公司正在长期努力为碳酸盐岩“非均质”的黑暗带来光明。我们正在为我们的主要碳酸盐岩储层构建业内最大的综合岩石物理和地质数据库。我们的大型数据库包含岩心桥塞的孔隙度、渗透率、颗粒密度和孔隙系统信息,并与全套测井数据和岩心描述进行了仔细整合。利用最先进的碳酸盐岩层序地层学技术对这些岩心进行了详细描述,所有这些数据都进行了数字化捕获,并进行了一致而仔细的整合。一个油田的数据库包含1695个石灰岩孔隙系统(孔隙系统由单个Thomeer双曲线定义),通过Thomeer分析岩心桥塞汞毛细管压力数据(MICP),从931个桥塞样本中获得,计划到2020年将测量范围扩大到1500个桥塞样本,仅这一个主要油藏。目前数据库的岩心桥塞包括来自30口取心井的样本(之前的Rosetta Stone项目只有10口取心井),以获得相水平上统计上可靠的储层岩石物理数据。目前,利用核磁共振(NMR)测井数据和CIPHER软件进行Thomeer参数micp -一致谱孔隙度分析,还可以在直井中获取孔隙系统数据,用于受限储层分层和垂直储层模型连接点。在沙特阿美,我们广泛的相物性数据库流程为主要的碳酸盐岩储层模型提供了参考储层属性数据库。参考数据库提高了我们对相和岩石物理岩石类型(prt)的变化和共变化的理解和建模,用于储层建模。它还为层序地层相格架内具有岩石物性孔隙系统性质的储层种群提供了良好的统计支持。对于储层动力学,该数据库可以详细研究孔隙系统特性(控制渗透率和相对渗透率)与层序地层储层相之间的统计联系。我们在这里报告从大量关系和统计属性中选出的结果,这些关系和统计属性可以从这个数据库中得到。在一般碳酸盐岩水平上,这些参考数据库表明,隐藏在“非均质性”阴影下的储层复杂性实际上是这些多模态孔隙系统及其属性的普遍性和统计分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Selected Results from Big Carbonate Pore System Database: A Case Study from Saudi Aramco
Carbonate reservoir complexities are both described and hidden by the use of the common and generic term, "heterogeneous", with usually little serious effort then expended to define and quantify the meaning and dimensions of the term. Saudi Aramco, the custodian of the world’s largest petroleum reserves in carbonate reservoirs, is making long-term efforts to bring light to the carbonate "heterogeneity" darkness. We are constructing the industry’s largest integrated petrophysical and geological databases for our major carbonate reservoirs. Our large databases contain porosity, permeability, grain density and pore system information from core plugs carefully integrated with a full suite of well log data and core descriptions. These cores have been described in detail using the most current carbonate sequence stratigraphic techniques and all these data have been captured digitally and integrated consistently and carefully. Our database for one field contains 1695 limestone pore systems (a pore system is defined by a single Thomeer hyperbola), obtained from 931 plug samples by Thomeer analysis of core plug mercury capillary pressure data (MICP) with plans to expand the measurements to 1500 plug samples for just this one major reservoir by the year 2020. The current core plugs for the database now include samples from 30 cored wells (up from the 10 cored wells of the previous Rosetta Stone project) to obtain statistically robust reservoir petrophysical data at the facies level. Pore system data are now also being acquired in vertical wells for constrained reservoir layering and vertical reservoir model tie points using nuclear magnetic resonance (NMR) well log data and the CIPHER software for the Thomeer parameter MICP-consistent spectral porosity analysis. At Saudi Aramco, our extensive facies – petrophysical properties database process delivers the reference reservoir property database for our major carbonate reservoir models. The reference database improves our understanding and modelling of the variation and covariation of the facies and petrophysical rock types (PRTs) for reservoir modeling. It also provides sound statistical support for the population of the reservoir with petrophysical pore system properties within the sequence stratigraphic facies framework. For the reservoir dynamics, the database allows detailed investigations into the statistical linkages of pore system properties which control permeability and relative permeability developed by Clerke and coworkers to the sequence stratigraphic reservoir facies. We report here selected results from a very large quantity of relationships and statistical attributes that can be derived from this database. At the general carbonates level, these reference databases demonstrate that the reservoir complexity hidden in the shadow of "heterogeneity" is actually the prevalence and statistical distribution of these multimodal pore systems and their attributes.
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