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作 者:尚庆华[1] 吴晓东[1] 韩国庆[1] 安永生[1] 王庆[1] 王旭东[1]
机构地区:[1]石油工程教育部重点实验室(中国石油大学),北京昌平102249
出 处:《石油钻探技术》2011年第1期83-88,共6页Petroleum Drilling Techniques
基 金:国家高技术研究发展计划("863"计划)"CO2驱油提高石油采收率与封存关键技术研究"(编号:2009AA063404)资助
摘 要:为了明确CO2驱油井产能影响因素,基于油藏数值模拟和正交试验设计与分析方法,考虑不同油藏和流体物性对油井产能的影响,对CO2驱油井产能影响因素进行了敏感性分析,并在正交试验结果归一化处理的基础上,初步建立了CO2驱油井产能方程。敏感性分析结果表明,各因素影响程度从大到小依次为相渗曲线、CO2物质的量分数、原油组成、渗透率、泄油半径、表皮因子和地层压力,其中影响最为显著的是相渗曲线和CO2物质的量分数,且随CO2物质的量分数的增大,油井产能方程的非线性增强。在油田开采初期,油井产能随CO2物质的量分数的增大而增大,但若油藏能量过度衰竭,CO2物质的量分数的增大反而对油井产能不利。该产能预测方程回归相关系数大,应用方便,可为同类油藏采油工程方案的编制和油田开发方案的调整提供一些参考。In order to determine the impacting factors of CO2 flooding well productivity and to establish the productivity prediction equation, the impacting factors sensitivity analysis were conducted based on reservoir numerical simulation and orthogonal analysis with consideration of impact of reservoir and fluid property on well productivity. The productivity equation for CO2 flooding was established based on the orthogonal normalized results. Sensitivity analysis show that the influence degree of each factor in decreasing order is relative permeability,CO2 content, crude oil composition, permeability, drainage radius, skin factor and reservoir pressure. The most significant influencing parameters are relative permeability and CO2 content. Well productivity equation becomes more nonlinear with the increase of CO2 content. In the early stage of field development, well productivity increases with the increase of CO2 content,while the increase of CO2 content damages well productivity if the reservoir is depleted. The established productivity equations in this paper can provide guidance for oilfield development. The productivity prediction equation regression coefficient is high and its application is convenient which can provide reference and guid- ance for similar reservoir field development and adjustment program.
关 键 词:二氧化碳驱 油井产能 影响因素 正交试验 数值模拟 敏感性分析
分 类 号:TE357.45[石油与天然气工程—油气田开发工程]
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