【作者】 郭立新；

【导师】 邹乐君； 童茂松；

【作者基本信息】 浙江大学 ， 地质学， 2009， 硕士

【摘要】 理论和实验研究表明,在特定的频段,泥质砂岩的复电阻率存在明显的频散现象,在一定频率范围内频散与地层含油饱和度的关系密切,含油响应是第一位的,打破了以往一味追求加深电阻率探测空间的习惯方法。复电阻率测井根据这种频散特性,采用低频电阻率与高频电阻率之间的差异来达到定性或半定量对储层流体性质进行识别的目的。本文选用了具有代表性的井区和储层进行现场试验,在确定了复电阻率测井资料具有较好的稳定性,分层能力的基础上,在多区块中对比值和差值模型进行曲线响应与含油饱和度的关系进行分析,确定了复电阻率比值和差值模型具有正比关系,并建立了评价水淹层和复杂岩性油水层的优化解释图版,提高了解释符合率,定性识别流体理论解释符合率在75.0%以上。将优化解释模型在不同区域进行应用,现场应用符合率为76.0%以上,进而也验证了模型具有普遍适用性,不受区域限制。并且本文通过对差值模型和比值模型响应幅值的分析,提出了模型的适用条件,含油丰度高的地区选择比值模型,含油丰度低的地区选择差值模型。通过本文的研究,确定了复电阻率测井在识别流体中具有较好的效果,通过解释模型的优化,充分发挥了复电阻率测井在识别流体中的优势,使复电阻率测井能够成为测井综合解释中一项重要参考依据。更多还原

【Abstract】 Theoretical and experimental investigation indicates that, complex resistivity of argillaceous sandstone shows apparent frequency dispersion phenomenon. The frequency dispersion has close relation to the oil saturation of the formation. Oil-bearing response is the first place to the oiliness and it breaks the previous methods which blindly pursue to deepen electrical resistivity detecting space. According to this character, the complex resistivity well-logging method uses the difference between low and high frequency electrical resistivity in order to recognize the reservoir fluid properties qualitatively and half-quantitatively.This paper chose and experiments in representative well area and reservoir. On the basis of confirming that the complex resistivity well-logging data has stability and stratification capacity, we analyze the relation between curve response and oil saturation on ratio and difference model in several zones, confirms that proportional relation exits between ratio and difference model of complex resistivity, and establishes optimization explanation chart of evaluating water-flooded zone and complex lithology oil-water layer. It improves the explanation coincidence rate, and the fluid qualitative explanation coincidence rate achieves 75 percent. Field application coincidence rate achieves 76 percent using the optimization explanation chart, and it shows that the model has universal applicability without zone restriction. According to the analysis of difference model and ratio model response amplitude, we propose the applicable condition of the model: ratio model should be chosen in high oil abundance zone and difference model in low oil abundance zone. The investigation confirms that complex resistivity well-logging has good results in fluid recognition and fully exert its advantage in fluid recognition with the explanation model optimization, and makes complex resistivity well-logging become one of the most important reference in well-logging comprehensive explanation.更多还原