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Developing a workflow to represent fractured carbonate reservoirs for simulation models under uncertainties based on flow unit concept

机译:基于流动单元概念,为不确定模型下的模拟模型开发工作流程以表示裂缝性碳酸盐岩储层

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Description of fractured reservoir rock under uncertainties in a 3D model and integration with reservoir simulation is still a challenging topic. In particular, mapping the potential zones with a reservoir quality can be very useful for making decisions and support development planning. This mapping can be done through the concept of flow units. In this paper, an integrated approach including a Hierarchical Cluster Analysis (HCA), geostatistical modeling and uncertainty analysis is developed and applied to a fractured carbonate in order to integrate on numerical simulation. The workflow begins with different HCA methods, performed to well-logs in three wells, to identify flow units and rock types. Geostatistical techniques are then applied to extend the flow units, petrophysical properties and fractures into the inter-well area. Finally, uncertainty analysis is applied to combine different types of uncertainties for generating ensemble reservoir simulation models. The obtained clusters from different HCA methods are evaluated by the cophenetic coefficient, correlation coefficient, and variation coefficient, and the most appropriate clustering method is used to identify flow units for geostatistical modeling. We subsequently define uncertainties for static and dynamic properties such as permeability, porosity, net-to-gross, fracture, water-relative permeability, fluid properties, and rock compressibility. Discretized Latin Hypercube with Geostatistical (DLHG) method is applied to combine the defined uncertainties and create an ensemble of 200 simulation models which can span the uncertainty space. Eventually, a base production strategy is defined under operational conditions to check the consistency and reliability of the models created with UNISIM-II-R (reference model) as a real reservoir with known results. Results represent the compatibility of the methodology to characterize fractured reservoirs since those models are consistent with the reference model (used to generate the simulation models). The proposed workflow provides an efficient and useful means of supporting development planning under uncertainty.
机译:在3D模型中描述不确定性下的裂缝性储层岩石以及与储层模拟集成仍然是一个充满挑战的话题。特别是,用储层质量绘制潜在地带对制定决策和支持开发计划非常有用。可以通过流量单位的概念完成此映射。本文提出了一种包括层次聚类分析(HCA),地统计学模型和不确定性分析的集成方法,并将其应用于裂缝性碳酸盐岩,以便与数值模拟相结合。工作流程从不同的HCA方法开始,对三个井进行测井,以识别流量单位和岩石类型。然后应用地统计学技术将流动单元,岩石物理特性和裂缝扩展到井间区域。最后,应用不确定性分析将不同类型的不确定性结合起来,以生成整体油藏模拟模型。从不同的HCA方法获得的聚类通过同感系数,相关系数和变异系数进行评估,并使用最合适的聚类方法来识别地统计学模型的流动单位。随后,我们定义了静态和动态特性的不确定性,例如渗透率,孔隙率,净毛重,裂缝,相对水渗透率,流体特性和岩石可压缩性。应用离散化的带有地统计的拉丁超立方体(DLHG)方法来组合定义的不确定性,并创建200个可以跨越不确定性空间的仿真模型的集合。最终,在操作条件下定义了基本生产策略,以检查使用UNISIM-II-R(参考模型)作为具有已知结果的真实储层创建的模型的一致性和可靠性。由于这些模型与参考模型(用于生成模拟模型)一致,因此结果表示该方法可用于描述裂缝性储层。所提出的工作流提供了在不确定情况下支持开发计划的有效和有用的手段。

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