《CO2驱采收率预测方法的研究》-毕业论文.doc

中国石油大学（华东）毕业设计（论文） CO2驱采收率预测方法的研究 学生姓名： 学 号：0 专业班级：石油工程 班 指导教师： 摘 要 石油作为战略资源，其开采和利用十分重要，随着生产、生活水平的不断提高，对石油需求急剧上升，由于石油是非再生资源，进一步提高已探明、已开发油藏的采收率已经成为十分迫切的工作，预测采收率技术越来越受到人们的关注。油气田采收率的预测 ,是油气藏工程研究的一项十分重要的任务。它是编制油气田开发规划部署 ,进行开发调整方案设计 ,以及油气田开发动态分析的重要研究内容，是投资者最关注的指标。油气采收率大多是通过预测得到的。为解决原油采收率的统计模拟问题 ,首先提出模型的最佳结构 ,其次根据少量的原始资料建立可靠的统计模型，预测采收率。通过各种方法的对比优选出比较合适的方法预测采收率，分析了各种影响采收率的因素，结合各油田的各自的特点建立模型通过各种途径预测采收率。 关键词：采收率预测；模型；最小混相压力；二氧化碳；提高采收率 ABSTRACT As a strategic petroleum resources exploitation and utilization is very important, as the production and the continuous improvement of living standards, the demand for oil is set to rise dramatically as oil and further improve nonrenewable resources development reservoir has been proven, the recovery has become very urgent work, predict recovery technology paid more and more attention. Oil-gas reservoir prediction, the recovery of the research project is a very important task. It is the oil and gas development planning, design and development adjustment and oil and gas development is the important content of dynamic analysis, is the most concern investors. Oil recovery are mostly through prediction. To solve the problem of oil recovery statistical simulation model is proposed for the first time, the optimal structure, secondly according to the amount of raw material establish reliable statistical model, the prediction process. Through the comparison of the various methods of optimization methods, analyzed the recovery prediction effect factors of recovery, combining the characteristics of the establishment of the oil recovery prediction model through various channels. Keywords: Recovery prediction； Model,；The minimum miscible-phase pressure； Carbon dioxide； improve oil recovery 目 录 TOC \o 1-3 \h \z \u HYPERLINK \l _Toc263844814 第一章 前 言 PAGEREF _Toc263844814 \h 1 HYPERLINK \l _Toc263844815 1.1研究的目的和意义 PAGEREF _Toc263844815 \h 1 HYPERLINK \l _Toc263844816 1.2国内外研究现状 PAGEREF _Toc263844816 \h 1