ABSTRACT Rock typing and flow unit detection are more challenging in clastic reservoirs with a uniform pore system. An integrated workflow based on well logs, inverted seismic data and rock physics models is proposed and developed to address such challenges. The proposed workflow supplies a plausible reservoir model for further investigation and adds extra information. Then, this workflow has been implemented in order to define different rock types and flow units in an oilfield in the Persian Gulf, where some of these difficulties have been observed. Here, rock physics models have the leading role in our proposed workflow by providing a diagnostic framework in which we successfully differentiate three rock types with variant characteristics on the given wells. Furthermore, permeability and porosity are calculated using the available rock physics models to define several flow units. Then, we extend our investigation to the entire reservoir by means of simultaneous inversion and rock physics models. The outcomes of the study suggest that in sediments with homogeneous pore size distribution, other reservoir properties such as shale content and cementation (which have distinct effects on the elastic domain) can be used to identify rock types and flow units. These reservoir properties have more physical insights for modelling purposes and can be distinguished on seismic cube using proper rock physics models. The results illustrate that the studied reservoir mainly consists of rock type B, which is unconsolidated sands and has the characteristics of a reservoir for subsequent fluid flow unit analysis. In this regard, rock type B has been divided into six fluid units in which the first detected flow unit is considered as the cleanest unit and has the highest reservoir process speed about 4800 to 5000 mD. Here, reservoir quality decreases from flow unit 1 to flow unit 6.

中文翻译：

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岩石物理与地震反演相结合，用于岩石类型和流动单元分析：案例研究

摘要 在具有均匀孔隙系统的碎屑岩储层中，岩石分类和流动单元检测更具挑战性。提出并开发了基于测井记录、反演地震数据和岩石物理模型的集成工作流程来应对这些挑战。建议的工作流程为进一步调查提供了一个合理的储层模型，并添加了额外的信息。然后，实施此工作流程是为了在波斯湾的油田中定义不同的岩石类型和流动单元，其中一些困难已经被观察到。在这里，岩石物理模型通过提供诊断框架在我们提出的工作流程中发挥主导作用，在该框架中我们成功区分了给定井上具有不同特征的三种岩石类型。此外，渗透率和孔隙度是使用可用的岩石物理模型来计算的，以定义几个流动单位。然后，我们通过同时反演和岩石物理模型将我们的调查扩展到整个储层。研究结果表明，在具有均匀孔径分布的沉积物中，其他储层性质，如页岩含量和胶结作用（对弹性域有明显影响）可用于识别岩石类型和流动单元。这些储层特性具有更多用于建模的物理洞察力，并且可以使用适当的岩石物理模型在地震立方体上进行区分。结果表明，所研究的储层主要为B类岩石，为松散砂岩，具有储层特征，可用于后续流体流动单元分析。在这方面，B 类岩石被划分为 6 个流体单元，其中第一个检测到的流动单元被认为是最清洁的单元，其储层处理速度最高，约为 4800 至 5000 mD。这里，储层质量从流动单元 1 到流动单元 6 降低。