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位于阿拉斯加北坡的Kuparuk River油田是北美最大的油气聚集区。近三分之一的地质储量存在于C储层中,它属于生物扰动和复杂成岩储层。菱铁矿含量变化范围大,导致渗透率、孔隙度和毛管压力在1ft范围内变化较大。只要考虑了黏土、菱铁矿和海绿石含量以及岩心的非均匀性,由测井曲线评价该层的矿物成分、孔隙度和含水饱和度就变得相对简单。由于孔隙度-渗透率曲线极其发散,渗透率的计算极为困难。由孔隙度测井曲线得到的渗透率-孔隙度变换的可信度差,因为它与岩心数据的分散性不符。近来,储层描述需要重新评价渗透率模型,这需要所预测的参数能够以简单的方式被粗化,以用于地质细胞模型。研究的预测渗透率的新方法,其核心是从岩性密度(RHOB)曲线和岩相构成的子空间随机选取岩心体积密度。在每半英尺的深度范围内,随机重复选取岩心密度直到给定窗长范围内的平均值与RHOB曲线的差异小于预先的设定值(通常为0.05g/cm3)。对应于密度的孔隙度和渗透率被作为每个深度的最终值。该方法以每半英尺深度为尺度,重现了岩心渗透率和孔隙度的统计分布。我们将测量深度转换为标准的真垂直深度,并将尺度增量由0.5ft增加到1ft和2ft。对于基于井-井对比的岩心数据,粗化的渗透率与地层系数kH匹配,它还与从数口井中最大流量得到的kH相匹配。假定这种匹配与其他渗透率测量方法相一致,就可认为粗化的渗透率适用于地质细胞模型。
Kuparuk River, on the northern slope of Alaska, is the largest oil and gas gathering area in North America. Nearly one-third of the geological reserves exist in the C reservoir, which belongs to bioturbation and complex diagenetic reservoir. Siderite content changes a wide range, resulting in permeability, porosity and capillary pressure greater changes in the 1ft range. As long as the clay, siderite and glauconite content as well as the core heterogeneity are taken into account, it is relatively easy to evaluate the mineral composition, porosity and water saturation of this layer from well logs. Due to the extreme divergence of porosity-permeability curves, permeability calculations are extremely difficult. The permeability-porosity transformation obtained from the porosity logs is less reliable because of its inconsistency with the dispersion of core data. Recently, reservoir descriptions need to re-evaluate the permeability model, which requires that the predicted parameters be roughened in a simple manner for the geocellular model. A new method of predicting permeability, studied at the core of the study, is to randomly select core volume densities from the RHOB curve and the lithosphere subspace. Core density is randomly selected repeatedly at every half-foot depth until the difference between the average over a given window length and the RHOB curve is less than a pre-set value (typically 0.05 g / cm3). The porosity and permeability corresponding to the density are taken as the final value for each depth. The method reproduces the statistical distribution of core permeability and porosity at a depth of every half-foot. We converted the measured depth to a true true vertical depth and increased the scale increment from 0.5 ft to 1 ft and 2 ft. For core-well-based core data, the coarser permeability matches the formation factor kH, which also matches the kH obtained from the maximum flow in several wells. Assuming that this match is consistent with other permeability measurements, the coarser permeability is considered suitable for the geocellular model.