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A New Method for Deriving Flow Calibrated Permeability from Production Logs

机译:从生产测井资料导出流量标定渗透率的新方法

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Accurate prediction of permeability from well logs in carbonate reservoirs is notoriously difficult. In the Tengiz field, a giant carbonate reservoir in western Kazakhstan, a method has recently been developed to calculate apparent permeability (APERM) based on flow rate from production (PLT) logs. Incorporation of this flow calibrated apparent permeability into the static geologic earth model offers an elegant solution to the long-standing problem of how to best incorporate dynamic PLT data into a reservoir model. A reservoir model recently built using APERM resulted in a step change improvement over previous methods where only static log based permeability transforms were used to populate the earth model. Conventional log based permeability transforms are designed to characterize matrix permeability but not the excess permeability due to fractures & vuggy porosity common in carbonate reservoirs. The APERM method is used for both accurately characterizing total permeability (matrix + excess), and for identifying inaccurate permeability predictions in older wells with poor log quality or limited log data. The log based permeability predictions are more accurate in recent wells with modern logs, but hot streak identification and quantitative permeability estimation from static well logs is still problematic. The apparent permeability is calculated by solving Darcy’s law on an interval basis, using as input our knowledge of flowing and static pressures, plus well, reservoir, and fluid properties. The method makes several simplifying assumptions, but the resulting errors are second order in nature, and the method offers improvements over using conventional static log based transform permeability. The method is enhanced by our ability to derive coarse scale zonal layer pressures with multi-rate PLTs, and use these pressures as input into the permeability derivation. The apparent permeability from PLT is then used as a benchmark to adjust the transform permeability derived from static well logs using a variable multiplier. This technique has the advantage of preserving the original fine scale heterogeneities of the wireline logs, while calibrating their magnitudes. Future plans are to investigate a correspondence between APERM and Rock Types as well as statistical transforms with open-hole logs. The log based transforms can then be used in wells or intervals without PLT data, improving accuracy of permeability population into the reservoir model.
机译:从碳酸盐岩储层中的测井资料准确预测渗透率非常困难。在哈萨克斯坦西部巨大的碳酸盐岩储层Tengiz油田,最近开发了一种方法,可根据生产(PLT)测井的流速计算视在渗透率(APERM)。将此流量校正后的视在渗透率纳入静态地质地球模型中,为长期存在的问题提供了绝佳的解决方案,该问题是如何将动态PLT数据最佳地纳入储层模型中。最近使用APERM建立的储层模型与以前的方法相比,有了逐步的改进,以前的方法仅使用基于静态测井的渗透率转换来填充地球模型。传统的基于测井的渗透率变换旨在表征基质的渗透率,但不能表征由于碳酸盐岩储层中常见的裂缝和孔隙孔隙而引起的过剩渗透率。 APERM方法既可用于准确表征总渗透率(矩阵+过量),又可用于识别测井质量差或测井数据有限的老井中不准确的渗透率预测。基于测井的渗透率预测在现代测井的新井中更为准确,但是从静态测井获得的热条纹识别和定量渗透率估算仍然存在问题。表观渗透率是通过间隔求解达西定律并使用我们对流动和静态压力以及井,储层和流体性质的知识作为输入来计算的。该方法提出了几个简化的假设,但是所产生的误差本质上是二阶的,并且该方法相对于使用常规的基于静态对数的变换渗透率提供了改进。通过我们利用多速率PLT推导粗尺度纬向层压力并将这些压力用作渗透率推导的输入的能力,该方法得到了增强。然后,使用变量乘数将PLT的视在渗透率用作基准,以调整从静态测井得到的转换渗透率。该技术的优点是在校准电缆测井的幅度的同时,保留了电缆测井的原始精细尺度异质性。未来的计划是研究APERM与岩石类型之间的对应关系以及带有裸眼测井的统计转换。然后,可以在没有PLT数据的情况下在井或井段中使用基于测井的转换,从而提高了进入储层模型的渗透率种群的准确性。

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