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Pressure and PVT Uncertainty in Material Balance Calculations

机译:物质平衡计算中的压力和PVT不确定性

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Original Oil In Place (OOIP) calculations based on material balance methods are strongly influenced by data uncertainty. Although some research is available in literature, usually the effects of data uncertainty on material balance calculations are rarely considered and quantified in most studies. This work presents an approach to properly quantify and account for the impact of reservoir pressure and PVT data uncertainty on material balance calculations under different drive mechanisms and using different material balance methods. This study allows reservoir engineers properly select the most suitable material balance method when uncertainty on reservoir pressure and PVT data is significant. In this work, two different methodologies are proposed. First, a sensitivity analysis was conducted using generated realizations of reservoir pressure and PVT data to evaluate their effect on material balance calculations. Second, a more robust approach was proposed using experimental design and analysis of variance to systematically evaluate the influence of reservoir pressure and PVT data on material balance calculations in an optimal and integrated fashion. In both methodologies, different material balance methods were used and computed OOIP were compared to reference values from a conceptual reservoir model with known PVT data and simulated reservoir pressure. A MATLAB-based program, with graphical user interface, was coded for this purpose1. Application of the proposed methodologies allowed to determine and quantify the most significant parameters that influence material balance calculations. Interestingly, the most important parameter was the selected material balance method used to compute the OOIP. More accurate results were obtained using the traditional graphical method (F-Wevs.Et) for volumetric oli reservoirs with minimal pressure and PVT data uncertainty In those cases with moderate to significant water influx and gas cap, and some uncertainty on pressure and PVT data, less accurate original oil in place was obtained when graphical methods were used. Reservoir pressure uncertainty was the most significant parameter on the material balance calculations. Gas-oil ratio uncertainty was also significant. Oil and gas gravity, and reservoir temperature were less significant.
机译:基于材料平衡方法的原始油(OOIP)计算受数据不确定性的强烈影响。虽然文学中有一些研究,但在大多数研究中,通常很少考虑和量化数据不确定性对材料平衡计算的影响。这项工作提出了一种方法来正确地量化和解释水库压力和PVT数据不确定性在不同驱动机构下的材料平衡计算的影响,并使用不同的材料平衡方法。这项研究允许水库工程师正确选择最合适的材料平衡方法,当水库压力和PVT数据的不确定性很大时。在这项工作中,提出了两种不同的方法。首先,使用生成的储层压力和PVT数据进行灵敏度分析,以评估它们对材料平衡计算的影响。其次,使用实验设计和差异分析来提出一种更强大的方法,以系统地评估储层压力和PVT数据的影响,以最佳和综合方式进行材料平衡计算。在这两种方法中,使用不同的材料平衡方法,并将计算的OOIP与来自已知PVT数据和模拟储层压力的概念储存模型的参考值进行比较。使用图形用户界面的基于MATLAB的程序是针对此目的进行编码的。应用提出的方法允许确定和量化影响物质平衡计算的最重要参数。有趣的是,最重要的参数是用于计算OoIP的所选材料平衡方法。使用传统的图形方法(F-F-F-F-F-F-F-F-F-F-F-F-F-F-F-F-F-F-F-F-F-F-F-F-Fevs.et)获得更准确的结果,这些情况在那些中等到大量水中流入和气体盖的那些情况下具有最小的压力和PVT数据不确定性,以及压力和PVT数据的一些不确定性,当使用图形方法时,获得了更准确的原油。水库压力不确定性是材料平衡计算上最重要的参数。气体油比不确定性也很显着。油气重力和储层温度不太显着。

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