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EFFECT OF DRILLING-MUD BASE-OIL CONTAMINATION ON CRUDE OIL T2 DISTRIBUTIONS

机译:钻井泥油污染对原油T2分布的影响

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Oil-based drilling fluids can invade formations and contaminate crude oils, hindering logging analysis. This work details 1H NMR T2 measurements with mixtures of one drilling-fluid base oil, NovaPlus (SNP), and crude oils to determine the effect of the contamination. Measurements are made using 2 MHz MARAN bench-top instruments on mixtures having various concentrations of SNP, with each of three crude oils (labeled STNS, SMY, and PBB), whose viscosities range from 13.7 to 207 cp. T2 measurements for mixtures containing SMY and SNP are repeated four times for purpose of statistical analysis. Two approaches are explored to better relate NMR measurements with contamination. In the first approach, a selective contamination index (SCI) is defined that relates the T2 distribution to the contamination. Here, a subset of the T2 data is chosen for analysis based on sensitivity to contamination. In the second approach, the T2 data are fit to a fourparameter, skewed Gaussian model for T2 distributions. Two parameters of the model are combined in a distribution parameter index (DPI), which can be related to contamination. Both the SCI and DPI values can be fit using cubic polynomials, resulting in a functional dependence on concentration. The polynomial functions, used in reverse, yield estimations of the degree of contamination, which for SMY-SNP mixtures are compared to standard T2,LM methods. The comparison of the T2,LM, SCI, and DPI methods is done in terms of the estimated error in the degree of contamination. The SCI method provides the best estimate of contamination.
机译:油基钻井液可以侵入地层和污染原油,阻碍测井分析。本工作详情1H NMR T2测量与一个钻井液基础油的混合物,Novaplus(SNP)和原油,以确定污染的效果。测量是使用2 MHz Maran台式仪器上具有各种浓度的SNP的混合物,其中三种原油(标记为STN,Smy和PBB)中的每一种,其粘度范围为13.7至207cp。用于统计分析的目的重复含有Smy和SnP的混合物的T2测量值4次。探索了两种方法以更好地用污染物涉及NMR测量。在第一方法中,定义了选择性污染指数(SCI),其将T2分布与污染相关。这里,选择T2数据的子集以基于对污染的灵敏度进行分析。在第二种方法中,T2数据适合于T2分布的四个参数偏斜高斯模型。模型的两个参数在分布参数索引(DPI)中组合,其可以与污染有关。 SCI和DPI值都可以使用立方多项式适合,导致浓度的功能依赖性。与标准T2,LM方法相比,用于逆转的多项式函数的污染程度,其用于SMY-SNP混合物的污染程度。在污染程度的估计误差方面,T2,LM,SCI和DPI方法的比较。 SCI方法提供了污染的最佳估计。

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