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A New Method for Deriving Flow Calibrated Permeability from Production Logs

机译:一种从生产日志推导流校准渗透率的新方法

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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:精确地预测碳酸盐储层的良好日志渗透性难以困难。在哈萨克斯坦西部的巨型碳酸盐储层中,最近开发了一种方法以基于从生产(PLT)原木的流速来计算表观渗透率(APERM)的巨型碳酸盐。该流程的纳入静态地质地球模型的表观渗透性提供了优雅的解决方案,即如何最佳将动态PLT数据纳入储层模型。使用APERM最近建造的储层模型导致在以前的方法上改变了以前的方法,其中仅用于填充地球模型的静态日志的基于磁化性变换。常规的基于对数的渗透性变换设计成表征基质渗透率,但由于碳酸盐储层中常见的裂缝和vuggy孔隙率而不是过量的渗透性。 APERM方法用于精确表征总渗透率(矩阵+过量),并用于识别较旧的井中的较差的日志质量或有限的日志数据中的较差的渗透性预测。近期井中的日志基于磁体预测与现代日志更准确,但是从静态井日志的热条纹识别和定量渗透率估计仍然存在问题。表观渗透率是通过以间隔的基础解决达西法律来计算的,使用我们对流动和静压,井,水库和流体性质的知识来计算。该方法使得几乎简化假设,但是产生的误差是自然界的第二阶,并且该方法提供了使用基于传统的静态日志的变换渗透性的改进。通过我们利用多速率PLTS导出粗糙刻度区域压力的能力,可以增强该方法,并使用这些压力作为输入到渗透率衍生中。然后使用来自PLT的表观渗透性作为使用可变乘法器调节从静态阱日志导出的变换渗透率的基准。该技术具有保留有线日志的原始细度异质性的优点,同时校准它们的大小。未来的计划是调查APERM和岩石类型之间的对应关系以及带开孔日志的统计变换。然后可以在没有PLT数据的情况下在井或间隔中使用基于日志的变换,从而提高渗透性群体的准确性进入储层模型。

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