近年来,致密砂岩油气藏储层应力敏感性引起学者们的广泛关注。由于致密砂岩储层矿物组成和成岩作用的不同,致密砂岩岩心的渗透率应力敏感与普通岩石基质的渗透率应力敏感有一定区别,现有的应力敏感模型并不适用。针对此问题,推导了一个改进的幂律渗透率模型来评估致密砂岩储层的渗透率应力敏感,用两个参数ηeff和η′eff来描述应力敏感,分别从鄂尔多斯盆地致密砂岩的一个油藏和一个气藏储层中取心,取心方向包括水平层理和垂直层理，通过压力脉冲衰减法进行渗透率应力敏感实验。实验结果表明:相比致密砂岩气藏,致密砂岩油藏的初始渗透率和渗透率消失应力均高,说明致密砂岩油藏的流动阻力较低，在不同方向上,渗透率在水平层理方向是垂直层理方向的2~3倍；同时还比较了改进后致密砂岩储层应力敏感模型参数ηeff和η′eff,并通过回归分析从实验数据得出其合理范围，结果显示ηeff和η′eff对于拟合的影响比单一参数更显著。改进后的幂律渗透率模型有助于油藏模拟器的改进,提高致密砂岩中油气产量的准确预测。

In recent decades, the stress sensitivity of tight sandstone reservoirs has attracted wide attention from scholars. Due to the different mineral composition and diagenesis of tight sandstone reservoirs, the permeability stress sensitivity of tight sandstone cores is different from that of ordinary rock matrixes, and the existing stress sensitivity models are not applicable. In response to this problem, this paper derives a modified power-law permeability model to evaluate the permeability stress sensitivity of tight sandstone reservoirs, and uses two parameters ηeff and η′eff to describe the stress sensitivity. The research team separately studied a tight sandstone reservoir and a tight sandstone reservoir in the Ordos Basin. For coring in a gas reservoir, the coring direction includes horizontal bedding and vertical bedding. We use the pressure pulse decay method to carry out the permeability stress sensitivity experiment. The results show that compared with tight sandstone gas reservoirs, the initial permeability and permeability disappearing stress of tight sandstone reservoirs are both higher, indicating a lower flow resistance of tight sandstone reservoirs. In different directions, the permeability in the horizontal bedding direction is 2 to 3 times that of the vertical bedding direction. This paper also compares the parameters ηeff and η′eff of the stress sensitivity model of tight sandstone reservoirs, and derives their ranges from experimental data through regression analysis. The results show that ηeff and η′eff have a more significant influence on the fitting than a single parameter. This revised model is helpful for the improvement of the reservoir simulator and the accurate prediction of oil and gas production in tight sandstone.