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多分支水平井产能评价与参数优化研究

Study on Productivity Evaluation and Parameters Optimization of Multi-Branch Horizontal Well

【作者】 姜振强

【导师】 侯读杰; 王晓冬;

【作者基本信息】 中国地质大学(北京) , 油气田开发工程, 2009, 博士

【摘要】 多分支水平井技术作为一种高效的采油手段,因其能够大幅度提高单井产能、抑制锥进及提高采收率,所以被广泛地应用于低渗透油藏、稠油油藏、薄层油藏以及多层油藏。而针对多分支水平井产能评价与参数优化设计研究则是该技术的前沿课题。因此,研究多分支水平井产能评价与参数优化对提高采收率及油田整体开发效益具有十分重要的意义。论文在国内外相关研究成果的基础上,针对多分支水平井油藏渗流与井筒管流耦合模型、多分支水平井敏感性参数分析与优化设计技术中存在的关键科学问题和技术难题,展开了全面、系统的研究,具体完成以下四方面工作:(1)基于当量井径原理、水平井筒变质量管流模型、完井表皮系数模型,建立了多分支水平井油藏渗流与井筒管流耦合模型,为多分支水平井敏感性参数分析与参数优化设计提供了理论基础。(2)根据广义表皮系数概念,从完井表皮系数积分表达式出发,完善了裸眼完井、射孔完井、割缝筛管完井表皮系数模型,并研究分析了完井参数对其表皮系数影响规律。(3)基于多分支水平井油藏渗流与井筒管流耦合模型,建立了NPV经济预测模型,并进一步研究分析了多分支水平井敏感性参数对其产能和NPV经济净现值的影响规律,为多分支水平井分支参数优化设计提供了理论基础。(4)针对非均质油藏目标井段完井参数优化设计问题,根据多分支水平井油藏渗流与井筒管流耦合模型、完井表皮系数模型,建立了水平井目标井段完井参数分段优化方法。通过研究,建立了多分支水平井油藏渗流与井筒管流耦合模型,该模型与数模结果平均误差小于3%,为多分支水平井分支参数优化和完井参数优化设计提供了理论基础。解决了多分支水平井分支参数优化设计和目标井段完井参数优化设计问题。同时得到了大量规律性的认识,为研究多分支水平井完井优化提供了技术基础。

【Abstract】 As a high efficiency production method, the technique of multi-branch horizontal well is widely used in low permeability reservoir, heavy oil reservoir, shallow layer reservoir and multi-layer reservoir, because it can significantly improve the productivity of sigle well, inhibit coning and enhance oil recovery. Studying on productivity evaluation and parameters optimization of multi-branch horizontal well is the front subject of this technique. Therefore, Studying on productivity evaluation and parameters optimization of multi-branch horizontal well is important for enhancing oil recovery and integral exploitation benefit of oilfields.On the basis of the related research result at home and abroad, focusing on the key scientific and technical problems which existed in the coupling model of multi-branch horizontal well reservoir seepage and wellbore flow, sensitivity parameter analysis of multi-branch horizontal well, comprehensive and systematic study was done in this thesis, and four aspects of the work was accomplished as follows:(1) Based on the equivalent radium model,horizontal wellbore mass variable flow model and completion skin factor model, the coupling model of multi-branch horizontal well reservoir seepage and wellbore flow is presented, which provides the theoretical basis for sensitivity parameter analysis and parameters optimization design of multi-branch horizontal well.(2) According to the generalized concept of skin factor, on basis of intergral expression of well completion skin factor, the well completion skin factor models of open hole, perforation and slotted screen completion are improved, and the effect of completion parameters on skin factor are studied.(3) Based on the coupling model of multi-branch horizontal well reservoir seepage and wellbore flow, the NPV economic foecast model is established, and the effect of sesitivity parameters of multi-branch horizontal well on the productivity of multi-branch horiozntal well and NPV economic net present value is studied, which provides scientific theoretical basis of parameters optimization designing. (4) Focusing on the completion parameters optimization design problem of the target wellbore section in heterogeneous reservoir, based on coupling model of multi-branch horizontal well reservoir seepage and wellbore flow and well completion skin facor model, the method of the completion parameters sectionalized optimization method of target section wellbore of horizontal well in heterogeneous reservoir is established.From this research, the coupling model of multi-branch horizontal well reservoir seepage and wellbore flow is established. The average error of the result of this model and the numerical simulation is less than 3%. The theoretical basis of the branch parameter optimization and completion parameters optimization is provided by this model. The problem of branch parameter optimization and target well seciton completion parameters optimization design is solved. Meanwhile, a lot of regularity knowledge is got from the research which can provide the technical basis of the completion optimization studying of multi-branch horizontal well.

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