面积井网开发分析和流线模拟

发布时间：2018-05-31 16:31

本文选题：面积井网 + 流线模拟　；参考：《中国地质大学(北京)》2015年硕士论文

【摘要】：流线模拟方法由于其求解速度快、稳定性好,已经在面积井网的水驱、聚合物驱等研究中得到极大的关注。本文主要研究不同面积井网的解析解和流线模拟,并将研究方法应用到了低矿化度水驱开发效果评价当中。本文首先研究了不同类型面积井网的稳态渗流问题,利用多井叠加-镜像反演原理推导了五点、反七点、反九点井网压力函数,构建了对应的流线模型。利用流线模型计算时,通过引入传播时间的概念,将二维物质运移方程转换为沿着流线的一维物质运移方程,对于这种典型的一阶拟线性偏微分方程通过特征线方法求解,即将偏微分方程转化为常微分方程进行求解,得到饱和度前缘运动方程,求解前缘运动方程即可得到沿着流线的饱和度场的变化,从而分析不同井网的水驱特征,并与Eclipse商业软件对比证明了方法的正确性。对于反九点井网,由于井网的不对称性,其求解过程必须考虑到角边井流量比R的影响,本文对此也做了具体的分析。R值越大,角井控制面积越大,井网见水时刻的波及系数也逐渐增大,见水时间越晚。本文在建立的面积井网流线模拟的基础上,引入了低矿化度水驱模型,并详细阐述了低矿化度水驱的作用机理,即通过改变ph值等因素影响了水驱效果。通过数值模拟与岩心实验的对比分析,本文验证了通过改变残余油饱和度来实现模拟低矿化度水驱效果的有效性,并基于论文中提出的解析模型和流线模拟的结合方法,计算了五点井网低矿化度水驱开发指标。此外,对于考虑了盐组分的吸附等现象的低矿化度水驱情况,则建立了含有盐组分物质守恒方程的数学模型,并通过一维驱替模型数值解与解析解的比较,证明该数学模型的可靠性,随后,又通过迎风差分方法求解沿着流线的两维两相的数学模型,并分析了矿化度变化对水驱效果的影响。最后,以Yousef(2011)的岩心实验数据为基础,建立了一个简单实用的低矿化度水驱效果评价模型,并结合五点井网分析,说明了低矿化度水驱提高原油采收率的效果。
[Abstract]:Due to its high speed and good stability, streamline simulation method has been paid great attention to in the research of water flooding and polymer flooding in the area well pattern. This paper mainly studies the analytical solution and streamline simulation of different area well pattern, and applies the research method to evaluate the development effect of low salinity water flooding. In this paper, the steady seepage problem of different types of well pattern is studied, and the pressure function of five points, seven points and nine points is derived by using the multi-well superposition mirror inversion principle, and the corresponding streamline model is constructed. By introducing the concept of propagation time, the two-dimensional material transport equation is transformed into a one-dimensional material transport equation along the streamline by introducing the concept of propagation time. For this typical first-order quasi-linear partial differential equation, the characteristic line method is used to solve the equation. The partial differential equation is transformed into ordinary differential equation and the saturation front motion equation is obtained. The change of saturation field along the streamline can be obtained by solving the leading motion equation, and the water drive characteristics of different well pattern can be analyzed. Compared with Eclipse commercial software, the method is proved to be correct. For the inverse nine-spot well pattern, due to the asymmetry of the well pattern, the influence of the flow ratio R on the corner well must be taken into account in the solution process. The larger the value of .R is, the larger the control area of the corner well is. The sweep coefficient of well pattern is increasing gradually, and the time of water discovery is later. Based on the flow line simulation of area well pattern, a low salinity water drive model is introduced in this paper, and the action mechanism of low salinity water flooding is expounded in detail, that is, the effect of water flooding is affected by changing ph value and other factors Through the comparison and analysis of numerical simulation and core experiment, this paper verifies the effectiveness of simulating low salinity water flooding by changing residual oil saturation, and based on the combination of analytical model and streamline simulation proposed in this paper. The development index of low salinity water drive in five-spot well pattern is calculated. In addition, the mathematical model of conservation equation of salt component is established for low salinity water flooding considering the adsorption of salt component, and the numerical solution and analytical solution are compared by one-dimensional displacement model. The reliability of the mathematical model is proved, and then the two dimensional two-phase mathematical model along the streamline is solved by upwind difference method, and the influence of the salinity change on the water drive effect is analyzed. Finally, based on the core experimental data of Yousef2011, a simple and practical evaluation model of low salinity water flooding effect is established, and combined with five-point well pattern analysis, the effect of low salinity water flooding on oil recovery is illustrated.
【学位授予单位】：中国地质大学(北京)
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE324

【共引文献】