稠油油藏聚合物驱流度控制优化研究

发布时间：2018-05-26 00:53

本文选题：流度控制 + 有效黏度　；参考：《西南石油大学》2017年硕士论文

【摘要】：聚合物在渗流过程中建立一定渗流阻力主要通过两个途径:①增加水相黏度;②建立残余阻力系数。黏度过高会导致注入性降低,低渗层残余阻力系数过大将会造成堵塞现象,不利于低渗层原油的波及。因此针对不同油藏条件,优化黏度与残余阻力的分配关系对于筛选聚合物类型以及新型聚合物的研制具有重大意义。本文以AP-P4聚合物为例,首先通过聚合物溶液流变性测试,建立表观黏度与聚合物浓度以及剪切速率之间的函数关系,在此基础上,基于变截面孔喉模型计算聚合物溶液在多孔介质中的有效黏度。其次,通过测定AP-P4聚合物在多孔介质中压力传播特征,分析在聚合物驱过程中引起水相渗透率下降的主要因素,由此,分别建立聚合物溶液残余阻力系数、吸附浓度数学表征模型。最后在水相运动方程中引入聚合物溶液有效黏度以及渗透率下降系数,建立聚合物驱数学模型。为使数学模型与室内实验相匹配,本文在表观黏度、渗透率下降系数项增加影响因子,最终计算所得含水率、采出程度值与实验值平均相对误差小于5%,同时,注入压力变化趋势保持一致。基于聚合物驱数值模拟,分别研究转注聚时机、聚合物性能对稠油油藏聚合物驱效果的影响:(1)随注聚时机的延迟,极限采收率降低,但变化并不明显,另一方面,早期注聚更利于发挥聚合物驱流度控制能力,抑制水驱低效(甚至无效)循环。(2)采用交替条件期望变换(ACE)多元非线性回归方法,分别建立极限采收率、最大注入压力与聚合物溶液表观黏度以及残余阻力系数间函数关系,从而为聚合物的筛选以及新型聚合物的研制提供指导。
[Abstract]:In the process of percolation, the residual resistance coefficient is obtained by increasing the viscosity of aqueous phase by increasing the flow resistance of polymer in two ways. If the viscosity is too high, the injectability will decrease and the residual resistance coefficient of the low permeability layer will cause blockage, which is not conducive to the sweep of the low permeability layer crude oil. Therefore, for different reservoir conditions, it is of great significance to optimize the distribution relationship between viscosity and residual resistance for the selection of polymer types and the development of new polymers. In this paper, taking AP-P4 polymer as an example, the functional relationship between apparent viscosity, polymer concentration and shear rate is established by testing the rheology of polymer solution. The effective viscosity of polymer solution in porous media was calculated based on the variable cross section pore throat model. Secondly, by measuring the pressure propagation characteristics of AP-P4 polymer in porous media, the main factors causing the decrease of water phase permeability during polymer flooding are analyzed, and the residual resistance coefficient of polymer solution is established respectively. Mathematical characterization model of adsorption concentration. Finally, a mathematical model of polymer flooding is established by introducing effective viscosity of polymer solution and decreasing coefficient of permeability into the equation of motion of water phase. In order to match the mathematical model with the laboratory experiment, in this paper, the influence factors are increased in the terms of apparent viscosity and permeability decline coefficient, and the water content is finally calculated, the average relative error between the recovery degree value and the experimental value is less than 5, and at the same time, The changing trend of injection pressure is consistent. Based on the numerical simulation of polymer flooding, the influence of polymer properties on polymer flooding effect in heavy oil reservoir is studied, respectively. With the delay of polymer flooding time, the limit recovery decreases, but the change is not obvious, on the other hand, Early polymer injection is more conducive to exerting the mobility control ability of polymer flooding, inhibiting the low (or even ineffective) cycle of water flooding, adopting alternative conditional expectation transformation (ACE-) multivariate nonlinear regression method, and establishing the limit recovery factor, respectively. The relationship between the maximum injection pressure and apparent viscosity and residual resistance coefficient of polymer solution provides guidance for the selection of polymer and the development of new polymer.
【学位授予单位】：西南石油大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TE357.46

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