由于目前缺乏可靠的致密油水平井温度剖面预测模型、对致密油水平井温度剖面影响规律认识不清，导致基于分布式光纤的致密油水平井产出剖面定量评价仍是一项技术难题。鉴于此，创建了考虑多种微热效应的致密油水平井温度剖面预测模型，探究了井筒温度剖面受不同单因素变化的影响，通过正交试验，确定不同因素的敏感性由强到弱依次为：产量、裂缝半长、储层渗透率、井筒直径、水平倾角、裂缝导流能力、储层总导热系数（Q>x_f>K>D>θ>F_CD>K_t），明确了影响致密油水平井温度剖面的主控因素为裂缝半长和储层渗透率。研究成果为定量分析致密油水平井井筒流动剖面、人工裂缝等参数提供了可用温度模型和理论支撑。

The challenge of reliably predicting temperature profiles in horizontal wells in tight oil reservoirs, coupled with an incomplete understanding of the factors influencing these profiles, has hindered the quantitative interpretation of tight oil horizontal well production using distributed optical fiber technology. To address this issue, a comprehensive model has been developed to estimate temperature profiles in horizontal wells in tight oil reservoirs, accounting for various microthermal effects. The temperature profiles of horizontal wells in tight oil reservoir under different single factors were simulated and analyzed. Then, through orthogonal experiment analysis, it demonstrates that the sensitivity of different factors from strong to weak is production rate, fracture half-length, reservoir permeability, wellbore diameter, horizontal inclination angle, fracture conductivity, and total reservoir thermal conductivity（Q>x_f>K>D>θ>F_CD>K_t）. It is worth noting that fracture half-length and formation permeability emerged as the primary factors influencing the temperature profile of horizontal wells in tight oil reservoirs. The research results provide available basic models and theoretical support for quantitative interpretation of production profile and artificial fracture parameters for horizontal wells in tight oil reservoir.