识别低效循环井的模糊综合评判法及Matlab实现  

The Fuzzy Comprehensive Evaluation and Matlab Realization for Identifying Deficient Returning Well

作　　者：董驰[1] 宋考平[1] 刘柱[1] 孙宁 崔晓娜[1] 

机构地区：[1]东北石油大学石油工程学院

出　　处：《数学的实践与认识》2018年第5期271-275,共5页Mathematics in Practice and Theory

基　　金：国家科技重大专项(2016ZX05010003-003);黑龙江省教育厅人才类项目(UNPYSCT-2016128)

摘　　要：我国大部分高渗透油田已进入高含水开发期，注入水低效、无效循环加剧．为改善注水开发效果，需要对低效无效循环井采取调剖堵水措施，因此识别低效循环井的方法尤为重要．依据模糊数学基本理论，结合油水井的静态指标和动态指标以及各项指标的权重建立了识别低效循环井的模糊综合评判数学模型．应用Matlab软件对评判模型进行求解，通过实例分析表明，评价方法简便、实用．Most of the high permeability oilfield in China has entered high water cut development period lead to injection water inefficient and invalid circulation Profile control and water shut-off measures should be used in deficient returning well to improve waterflood effect. Therefore, the identify inefficient circulation method is particularly important.Based on the basic theory of fuzzy mathematics, combining static and dynamic indicators of oil and water wells, and the weight of each index to establish the mathematical model of fuzzy comprehensive evaluation in order to identify deficient returning wellMatlab software was applied to evaluate the evaluation model and through the example analysis shows that this evaluation method is simple and practical.

关 键 词：低效循环 数学模型 模糊综合评判 MATLAB 

分 类 号：TE357.62[石油与天然气工程—油气田开发工程]