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Prediction of Water Saturation for Tight Sandstone Reservoirs by Using Array Dielectric Logging ADL

机译:阵列介电测井ADL预测致密砂岩储层含水饱和度

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Conventional hydrocarbon saturation estimation methods based on porosity and resistivity curves cannot be well used in our target formations due to the difficulty of the determination of necessary input parameters. The formation water resistivity was heavily affected by the various salinity. The water salinity was considered to have little effect to the delectric constant, especially for the delectric constants measured with frequency higher than 200 MHz. In this study, we proposed a new model to predict water saturation from the array delectric logging (ADL) data in the Chang 8 Formation of Penyang region, west Ordos Basin, west China. This model was similar with the classic Archie's equation in form, whereas the involved parameters were much easily to be determined. Based on the lab delectric constant measurements of 6 typical core samples, we determined the input parameters in this new model. Meanwhile, considering the effect of pore structure to delectric measurements, a model of calculating various m_ε from porosity was established. By using the proposed model, we processed several wells with which the ADL data was acquired, the consecutive water saturation curves were calculated. Comparisons of predicted water saturation with irreducible water saturation, core derived results and the drill stem test (DST) data illustrate that this model was reliable. The advantage of this model was that it can be used to precisely calculate water saturation in any formations with various formation water salinity, whereas the conventional methods lost their role.
机译:传统的基于孔隙度和电阻率曲线的含油气饱和度估计方法由于难以确定必要的输入参数而无法很好地应用于我们的目标地层。地层电阻率受不同盐度的影响较大。水的盐度被认为对电常数几乎没有影响,尤其是对于频率高于200 MHz的电常数测量。在这项研究中,我们提出了一个新的模型,用阵列电测井(ADL)数据预测中国西部鄂尔多斯盆地彭阳地区长8组的含水饱和度。该模型在形式上与经典的阿尔奇方程相似,但所涉及的参数很容易确定。基于6个典型岩芯样品的实验室电常数测量,我们确定了新模型的输入参数。同时,考虑到孔隙结构对电测结果的影响,建立了由孔隙度计算各种m_ε的模型。利用该模型,我们处理了几口获得ADL数据的井,计算了连续的含水饱和度曲线。通过预测含水饱和度与束缚水饱和度、岩心衍生结果和钻杆测试(DST)数据的比较,表明该模型是可靠的。该模型的优点在于,它可以精确计算具有不同地层水矿化度的任何地层中的含水饱和度,而传统方法失去了它们的作用。

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