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Static Reservoir Modeling Using Well Log and 3-D Seismic Data in a KN Field, Offshore Niger Delta, Nigeria

机译:尼日利亚尼日尔三角洲近海KN油田使用测井和3-D地震数据进行静态储层建模

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This study focuses on the application of 3D static model using 3-D seismic and well log data for proper optimization and development of hydrocarbon potential in KN field of Niger Delta Province. 3D Seismic data were used to generate the input interpreted horizon grids and fault polygons. The horizon which cut across the six wells was used for the analysis and detailed petrophysical analysis was carried out. Structural and property modeling (net to gross, porosity, permeability, water saturation and facies) were distributed stochastically within the constructed 3D grid using Sequential Gaussian Simulation and Sequential Indicator Simulation algorithms. The reservoir structural model show system of different oriented growth faults F1 to F6. Faults 1 and Fault 4 are the major growth faults, dipping towards south-west and are quite extensive. A rollover anticline formed as a result of deformation of the sediments deposited on the downthrown block of fault F1. The other faults (2, 3, 5 and 6) are minor fault (synthetic and antithetic). The trapping mechanism is a fault assisted anticlinal closure. Results from well log analysis and petrophysical models classified sand 9 reservoir as a moderate to good reservoir in terms of facies, with good porosity, permeability, moderate net to gross and low water saturation. The volumetric calculation of modeled sand 9 horizon reveals that the (STOIIP) value at the Downthrown and Ramp segment are 15.7 MMbbl and 3.8 MMbbl respectively. This implies that the mapped horizon indicates hydrocarbon accumulation in economic quantity. This study has also demonstrated the effectiveness of 3-D static modeling technique as a tool for better understanding of spatial distribution of discrete and continuous reservoir properties, hence, has provided a framework for future prediction of reservoir performance and production behavior of sand 9 reservoir. However, more horizontal wells should be drilled to enhance optimization of the reservoir.
机译:这项研究的重点是利用3-D地震和测井数据建立3D静态模型,以正确优化和开发尼日尔三角洲省KN油田的油气潜力。 3D地震数据用于生成输入解释层位网格和断层多边形。使用横跨六个井的地层进行分析,并进行了详细的岩石物理分析。使用顺序高斯模拟和顺序指示器模拟算法,在构造的3D网格内随机分布了结构和属性模型(净重,孔隙度,渗透率,水饱和度和相)。储层结构模型显示了不同方向的发育断层F1至F6的系统。断层1和断层4是主要的生长断层,向西南倾斜,范围相当广泛。由于沉积在断层F1的下倾块上的沉积物变形而形成了翻转斜线。其他故障(2、3、5和6)是次要故障(综合性和对立性)。诱捕机制是断层辅助的背斜闭合。测井分析和岩石物理模型的结果将砂9储层按相划分为中度至良好储层,具有良好的孔隙度,渗透率,中度至总净度和低水饱和度。建模的砂9层的体积计算表明,下倾段和斜坡段的(STOIIP)值分别为15.7 MMbbl和3.8 MMbbl。这意味着映射的层位指示了经济数量上的碳氢化合物积累。这项研究还证明了3-D静态建模技术作为一种工具,可以更好地了解离散和连续储层属性的空间分布,因此为将来预测砂9储层的储层性能和生产行为提供了框架。但是,应该钻更多的水平井以增强储层的优化。

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