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Fractured Reservoir Modeling - Jihar Field Case

机译:裂缝储层建模 - Jihar野外案例

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C2 and D1 reservoirs of Jihar field in Syria are formed in highly fractured limestone/dolomite of Triassic age and contain condensate-rich gas cap and volatile oil leg. There has been two years of production from two wells so far. Dual porosity model is being created to predict reservoir behavior. Matrix model framework is built based on seismic interpretation together with well data. Reservoirs are divided into zones according to reservoir quality. Fractional layering is used to keep porosity variations from log analysis and facies modeling is performed using Sequential Indicator method. Petrophysical parameters of matrix are based on log analyses but core data is also considered. The ultimate goal is to find 3D grid properties which describe fracture properties. Two different Discrete Fracture Network (DFN) models are developed based on intensity to incorporate actual fracture statistics in the determination of fracture permeability, porosity, and shape factor. One single-set model is created and three-set model is established. History matching started on a global level, by matching overall energy (pressure) and total production rate. Interactive updating of geological model with knowledge from simulation realizations resulted in better understanding of reservoir properties, recovery mechanisms and enabled definition of possible production prediction cases.
机译:叙利亚的Jihar田地的C2和D1储存器形成于三叠纪时龄的高度骨折石灰岩/白云石,并含有富含冷凝水的气帽和挥发性油腿。到目前为止,两个井有两年的生产。正在创建双孔隙度模型以预测储层行为。基于井数据的地震解释构建矩阵模型框架。根据储层质量,水库分为区域。分数分层用于保持孔隙率变化与日志分析,并且使用顺序指示法进行相框。矩阵的岩石物理参数基于日志分析,但也考虑了核心数据。最终目标是找到描述骨折性质的3D网格属性。基于强度,开发了两种不同的离散断裂网络(DFN)模型,以在测定骨折渗透性,孔隙率和形状因子中掺入实际裂缝统计。创建一个单一集模型,建立了三个模型。历史匹配通过匹配整体能量(压力)和总生产率来开始全球级别。从仿真实现中具有知识的地质模型的交互式更新导致了对储层特性的更好理解,恢复机制和可能的生产预测案例的定义。

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