【摘要】 由于缺乏可靠的温度剖面预测模型导致多产层油藏直定井温度剖面影响规律认识不清，使得基于分布式光纤温度监测(distributed temperature sensing, DTS)定量解释多产层油藏直定井产出剖面仍十分困难。鉴于此，通过建立考虑多种微量热效应和非等温渗流的多产层油藏直定井温度剖面预测模型，模拟分析了不同单因素变化对多产层油藏直定井温度剖面的影响规律，并通过正交试验分析评价了油藏直定井温度剖面对各影响因素的敏感性程度，依次为：单井产量>渗透率>含水饱和度>井筒直径>原油密度>井筒倾斜角>储层导热系数，确定了影响油藏直定井温度剖面的主导因素为单井产量、渗透率和含水饱和度。研究结果为实现基于DTS数据定量解释多产层油藏直定井产出剖面、储层特征参数等奠定了理论基础。更多还原

【Abstract】 Due to the lack of reliable temperature profile prediction model, the influence law of temperature profile of vertical well in oil reservoir with multiple layers is not clearly understood, which makes it difficult to quantitatively interpret the production profile from the distributed temperature sensing(DTS). In view of this, with considering several micro heat effects and non-isothermal seepage, a temperature prediction model was developed to simulate the temperature profile of vertical well in oil reservoir with multiple layers. The influence of each affecting factors on the temperature profile was analyzed. Through orthogonal experiment analysis, it demonstrates that the sensitivity of different factors from strong to weak is production rate, permeability, water saturation, wellbore diameter, density of the crude oil, inclination angle of the wellbore, and thermal conductivity of the formation. The dominant factors affecting the temperature profile are production rate, permeability and water saturation distribution. The results lay a theoretical foundation for the quantitative interpretation of the production profile and reservoir characteristic parameters of the vertical well in oil reservoir with multiple layers based on DTS data.更多还原