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层间交互作用成因机制及评价方法研究

发布时间:2018-02-16 10:00

  本文关键词: 层间交互作用 主控因素 复相关系数 基于熵权的灰色关联 数学模型 出处:《东北石油大学》2015年硕士论文 论文类型:学位论文


【摘要】:目前,采油井多采用大段合采,层间交互作用较为严重。针对这种情况,本文分析了层间交互作用的成因机制,并在此基础上确定了层间交互作用的评价方法。具体内容如下:第一,通过查阅文献并结合油田实测资料分析结果,确定层间交互作用的影响因素。包括平均渗透率、渗透率级差、平均孔隙度、总层数、总厚度、平均厚度、厚度级差、粘度、平均静压、静压级差、静压系数级差、平均流压、流压级差、合测生产压差、生产压差级差、分测平均含水率、合测含水率和含水率级差。第二,采用复相关系数法对层间交互作用的影响因素进行初步筛选,综合阈值法和极值法筛选结果,确定删除指标,分别为总厚度和分测平均含水率。利用基于熵权的灰色关联法计算影响因素与层间交互作用系数间的关联度。将因素按照关联度由大到小的顺序进行排列,依次将因素权重相加,当因素权重加和首次大于或等于0.7时,确定已进行加和的因素为主控因素。最终确定层间交互作用主控因素为渗透率级差、层数、静压系数级差、合测含水率、生产压差级差和流压级差。第三,基于确定的层间交互作用主控因素,综合考虑层数、渗透率、地层压力、流压、孔隙度、粘度、供给半径、含水率、相渗以及渗流阻力等因素,并引入井筒的影响,建立了层间交互作用数学模型。最后,利用统计学等方法对层间交互作用机理进行了研究,认为层间差异越大,合采时的层间交互作用就越强,应实施分层开采。本文研究分析成果为油藏进行层系划分以及相应的开发部署提供了一定的理论依据。
[Abstract]:At present, the production wells mostly adopt large section combined production, and the interaction between layers is more serious. In view of this situation, this paper analyzes the formation mechanism of interlaminar interaction. On this basis, the evaluation method of interlaminar interaction is determined. The specific contents are as follows: first, by consulting the literature and combining with the analysis results of oil field measured data, the influencing factors of interlaminar interaction, including the average permeability, are determined. Permeability difference, average porosity, total layer number, total thickness, average thickness, thickness differential, viscosity, mean static pressure, static pressure differential, hydrostatic coefficient differential, average flow pressure, flow pressure differential, combined measurement production pressure difference, production pressure differential, The average moisture content, the moisture content and the difference of moisture content were measured. Secondly, the factors affecting the interlayer interaction were preliminarily screened by using the complex correlation coefficient method, and the deletion index was determined by synthesizing the screening results of the threshold method and the extreme value method. The grey correlation method based on entropy weight is used to calculate the correlation degree between the influencing factors and the interlayer interaction coefficients. The factors are arranged in the order of the correlation degree from large to small. When the sum of factor weight is greater than or equal to 0.7 for the first time, the factors that have been added are determined as main control factors. Finally, the main controlling factors of interlayer interaction are permeability difference, number of layers, and differential of static pressure coefficient. Third, based on the determined interlayer interaction main control factors, considering the number of layers, permeability, formation pressure, flow pressure, porosity, viscosity, supply radius, water content, The mathematical model of interlaminar interaction is established by introducing the influence of wellbore and other factors such as phase permeability and seepage resistance. Finally, the mechanism of interlayer interaction is studied by means of statistics, and it is considered that the greater the difference between layers, the greater the interaction between layers. The stronger the interlaminar interaction is, the more stratified production should be carried out. The research and analysis of this paper provides a theoretical basis for the stratigraphic division of reservoirs and the corresponding development and deployment.
【学位授予单位】:东北石油大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TE31

【参考文献】

相关期刊论文 前2条

1 崔彪;;油井多层分采工艺技术浅析[J];化工管理;2014年09期

2 李大建;牛彩云;吕亿明;何淼;;低渗透油藏两层合采油井层间干扰分析[J];西部探矿工程;2012年12期



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