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为了鉴别长期风化的沉底油,以1种原油(A)和2种燃油(B和C)为研究对象,采用重复性限法筛选340 d风化的水面漂浮油和水下沉底油的稳定诊断比,并基于这些诊断比对沉底油进行聚类分析。结果表明,诊断比的稳定性不仅和油种、风化时间有关,还和溢油的存在形态密切相关;轻组分含量相对高的A和B的沉底油比它们对应的漂浮油受到的风化影响更大,而重组分含量高的C正好相反,研究最终得到4个适合鉴别长期风化漂浮油和沉底油的稳定诊断比;聚类分析法可将沉底油与其油源很好地聚类,并可反映沉底油的风化程度。因此,基于稳定诊断比的聚类分析法可用于鉴别长期风化的沉底油,值得进一步推广。
In order to identify the long-term weathered subsoil oil, the stability of 340-day weathering floating oil and subsoil oil was screened by using the repeatability limit method with one kind of crude oil (A) and two kinds of fuel (B and C) Diagnostic ratio, and based on these diagnostic comparison of submerged oil cluster analysis. The results show that the stability of the diagnostic ratio is not only related to oilseed and weathering time but also closely related to the existence of oil spills. The sunken oil of A and B with relatively light components is weaker than that of the corresponding floating oil The effect is greater, while the high content of heavy components C is the opposite, the study finally obtained four suitable for the identification of long-term weathering floating oil and sunken oil stable diagnostic ratio; clustering analysis of the sunken oil and its oil well together Class, and can reflect the degree of sunken oil weathering. Therefore, the cluster analysis based on stable diagnostic ratio can be used to identify the long-term weathered submersible oil, which is worth further promotion.