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Estimation of Porosity and Permeability from Conventional Logs in Tight Sandstone Reservoirs of North Ordos Basin

机译:北鄂尔多斯盆地紧密砂岩储层中常规原木孔隙度和渗透性的估算

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The statistical histograms of core porosities and permeabilities illustrate that the distribution of reservoir porosity for Chang 6 Formation is from 5.0% to 12.0%, the average value is 8.2%, reservoir permeabilities range from 0.71 to 3.98 mD, and the average permeability is 1.26mD, belongs to typical tight sandstone reservoirs. In this study, based on the core scale logging method, the relationship between core derived porosity and interval travel time (the only acquired conventional porosity logging series in Chang 6 Formation of north Ordos basin) is established to estimate tight sandstone reservoir porosity. The relationship between core porosity and permeability is not classical power or exponential function. The tendency between core porosity and permeability is disparate for rocks with 9% as the boundary. When porosities are higher than 9%, permeabilities increase much faster when rock porosity increase. To establish the unified permeability estimation model, the cubic function is applied after the data set of reservoir permeabilities are taken logarithmic. Several wells that processed with the established models illustrate that the estimated porosities and permeabilities are coincided with the core analyzed results very well. The absolute errors between the estimated porosity and core analyzed results are lower than 0.45%, and the relative errors between them are lower than 5%. This meets the regulation of petroleum reserves estimation, and can be used for evaluation of reserves directly.
机译:核心孔隙率和渗透性的统计直方图表明,对于常数6形成的储层孔隙率分布为5.0%至12.0%,平均值为8.2%,储层渗透率范围为0.71至3.98 md,平均渗透率为1.26md ,属于典型的砂岩水库。在本研究中,基于核心尺度测井方法,建立了核心推导孔隙率和间隔行程之间的关系(北鄂尔多斯盆地的常数6个形成的常规孔隙度测井系列),以估计紧密砂岩储层孔隙率。核心孔隙度和渗透性之间的关系不是经典的功率或指数函数。核心孔隙率和渗透率之间的趋势对于具有9%作为边界的岩石存在偏差。当孔隙率高于9%时,岩石孔隙率增加时渗透性会增加。为了建立统一的渗透率估计模型,在储层渗透的数据集被拍摄对数之后应用了立方函数。用建立的模型加工的几个井说明了估计的孔隙率和渗透性与核心分析的结果相吻合。估计孔隙度和核心分析结果之间的绝对误差低于0.45%,它们之间的相对误差低于5%。这符合石油储备估算的调节,可直接用于评估储备。

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