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基于模糊综合评判法的优势渗流通道定量识别方法研究 被引量:7

Study on Quantitative Identification Method of Thief Ione Based on Fuzzy Comprehensive Judge Method
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摘要 目前我国大多数油田已进入高含水期,油水井间的优势渗流通道普遍发育,严重制约了油田采收率的提高.如何有效识别优势渗流通道已成为改善注入水驱油效果的关键.基于模糊综合评判法,将油水井动静态资料相结合建立评价模型,利用综合评判指数对优势渗流通道进行识别,并建立出量化标准.应用注采动态关联分析法对所建立的评价模型及标准进行验证,并对某区块油藏进行优势渗流通道识别判断,识别效果较好.评价方法资料获取难度低,计算方便,易于操作和推广,能够为油田后期深度调驱或井网调整提供理论依据. At present, most of the oilfi'elds in China have entered the high water cut stage,and the thief zone were generally dev'eloped, which seriously restricted the improvement ofoil recovery. How to effectively identify the thief zone has become the key to improve theeffect of water flooding. In this paper, based on the fuzzy comprehensive judge method, theevaluation model is established by cortibiiiing the dynamic and static data of injection wellsand production Wells. Used comprehensive evaluation index to identify the thief zone andestablished the standards of the thief zohe. Applied dynamic correlation analysis to verifythe validity of the fuzzy comprehensive model and identification standards. This methotJ wasUsed to identify the whole of SA three reservoir and the effect of identification of the thiefZone was excellent. This method is simple and easy to operate and popularize, which can alsoprovide theoretical basis of oilfields deep pirile control and the pipeline network adjustment.
出处 《数学的实践与认识》 北大核心 2017年第11期100-108,共9页 Mathematics in Practice and Theory
基金 国家自然科学基金(51404070) 黑龙江省自然科学基金(QC2015056) 中国博士后基金
关键词 模糊综合评判 优势渗流通道 注采动态关联分析法 fuzzy comprehensive judge thief zone dynamic correlation analysis
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