摘要
影响砂砾岩储层压后产量的因素很多,各种因素影响程度不一,且其关系较为复杂,在优化压裂设计时,很难准确把握关键影响因素,而运用灰色关联分析方法能够很好地解决这一高度非线性的问题。采用KHK产量劈分模型,对原始数据进行更为合理的预处理;通过一种更具灵活性和智能性的方法选取分辨系数,结合灰色关联分析方法,分析得到不同因素对压后产量的影响程度大小。以MF井区砂砾岩储层为例,基于储层地质参数及压裂施工参数,运用灰色关联方法分析得出,该井区不同因素对压后产油量的影响程度从大到小依次为:有效厚度、渗透率、前置液比、每米加砂强度、压力系数、排量、孔隙度、储层温度、平均砂比。
There are many factors affecting postfracture production of glutenite reservoir. Due to different influence degree of vari- ous factors and the complex relation, it is difficult to find the key influential factor in the process of fracturing design, in addition, gray correlative analysis method is adopted to resolve highly nonlinear problem and KHK production splitting method is used to pre- process primary data more reasonably. Through a more flexible and intelligent method, resolution ratio is selected out, and com- bined with gray correlative analysis method, the influence of different factors on postfracture production is analyzed. Take glutenite reservoir of MF well field for example, based on geological parameters and fracturing construction parameters, and through gray cor- relation method, it concludes that the degree of influential factors from high to low is effective thickness, permeability, pad fluid ra- rio, average intensity of proppant, pressure coefficient, displacement, porosity, reservoir temperature and average sand ratio.
出处
《油气藏评价与开发》
CSCD
2016年第4期28-33,共6页
Petroleum Reservoir Evaluation and Development
关键词
砂砾岩
灰色关联
压后产量
影响因素
glutenite, gray correlation, postfraeture production, influential factor