摘要
油水相渗比值关系式是反映水驱油田渗流特征和建立水驱开发规律的基础。目前,油水相渗比值关系式种类较多,各种关系式之间相互关系复杂,给现场应用带来一些困惑。为此,编制了油水相渗比值关系式演化结构图。结构图上明显显示油水相渗比值关系式可划分为两大系列,即指数系列和方次系列。尤其是在方次系列中,随着油相指数与水相指数由相等变不等,再到油相指数、水相指数与含水饱和度相关,油水相渗比值关系式的拟合精度越来越高,其适应性越来越好;另外,从结构图中不仅可以发现已有油水相渗比值关系式研究过程中由于约束条件排列次序的不同而导致某些模型的遗漏,而且也可展示出现阶段该类技术的研究热点及方向。最后,利用大庆油田3类油水相渗数据对新增的油水相渗比值关系式进行了应用,结果显示,油相指数、水相指数与含水饱和度呈多项式关系时,多项式次数越高,拟合精度越高,误差越小。
The formula of oil-water relative permeability ratio is the basis of reflecting seepage characteristicsand establishing development law in water-flooding oilfield. At present, there are many kinds of formula of oil-water relative permeability ratio, and the relationship between them is complex, which brings some confusion toapplication. For this reason, the evolution structure of oil-water relative permeability ratio has been worked out.This structure chart clearly shows oil-water relative permeability ratio relation can be divided into two series,namely index series and time series. Especially in the time series, with the oil phase index and the water phase index changes from equality to inequality, then the oil(or water) phase index is related to water saturation, so the fitting accuracy of oil-water permeability ratio is higher and higher, and its adaptability is better and better. In addition, the structure chart can not only find the oil-water relative permeability ratio between the type of constraintorder of different models leads to some omissions, but also show the research focus and direction. Finally, basedon the 3 types of oil-water permeability data in Daqing oilfield, new formulas of oil-water permeability ratio isapplied. The results show that when the oil(water) phase index is in polynomial relation with water saturation, thehigher the number of times, the higher the fitting accuracy and the smaller the error.
出处
《新疆石油天然气》
CAS
2018年第1期61-67,共7页
Xinjiang Oil & Gas
基金
中国石油科技重大专项(2017E-04-07
THYJY2017-2-21)
关键词
油水相渗比值
指数式
方次式
油相指数
水相指数
二项式
Oil-water relative permeability ratio
Exponential formula
Square formula
Oil phase index
Water phase index
Binomial