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A Case Study of Modeling Workflow and Well Performance Assessment of a Complex Fluid / Tight Reservoir

机译:复杂流体/狭缝水库建模工作流程和井性能评估的案例研究

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o understand and more accurately predict reservoir performance. This paper deals with reservoir modelling work undertaken for the evaluation of a tight reservoir, onshore Abu Dhabi. The workflow for the construction of the static model with low permeabilities and strong heterogeneities is first discussed. The paper then presents a detailed analysis of reservoir surveillance data collected to assess the dynamic performance of a first well pair (producer / injector) drilled in the tight reservoir. Surveillance data include long term production / injection tests with multi PBU / PFO, interference testing and PLT data. A critical analysis of available data was performed in order to properly constrain the reservoir model. A PVT data review was also undertaken to build a robust Equation-of-State model. A multi scenario history matching was performed with a compositional reservoir model and highlighted the importance of both permeability mapping and PVT modelling to match the complex dynamic well behavior. In particular, it was found that strong vertical compositional gradients prevail and can significantly impact well performance depending on structural elevation. This exercise showed the importance of analyzing data and understanding prevailing mechanisms driving well performance to properly constrain reservoir simulation model. Because of limited available data at this stage of the development, significant uncertainties still exist. Hence the paper also presents key results from the uncertainty analysis and the data acquisition strategy designed to narrow identified uncertainties in order to optimize the development plan. Preliminary results from recent data acquisition campaign are also summarized.
机译:o了解和更准确地预测水库性能。本文涉及用于评估紧身水库,陆上阿布扎比的水库建模工作。首先讨论了具有低渗透率和强异质的静态模型的工作流程。然后,该文件提出了收集的储层监控数据的详细分析,以评估钻石储层中钻的第一阱对(生产/注射器)的动态性能。监控数据包括具有多PBU / PFO,干扰测试和PLT数据的长期生产/注射测试。执行可用数据的关键分析,以便适当地限制储层模型。还进行了PVT数据审查以构建强大的状态模型。使用组成储存器模型进行多种情况历史匹配,并突出显示渗透性映射和PVT建模的重要性,以匹配复杂的动态井行为。特别是,发现强大的垂直组成梯度占上风,并且可以根据结构升降升高井性能。该练习表明,分析数据和理解驾驶井的普遍机制的重要性,以适当地限制水库仿真模型。由于在发展阶段的可用数据有限,因此仍存在重大的不确定性。因此,本文还呈现了不确定性分析的关键,旨在缩小确定的不确定性的数据采集策略,以优化发展计划。还概述了最近的数据采集活动的初步结果。

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