古龙南地区M6区块单井产能预测方法研究

发布时间：2018-03-24 22:25

本文选题：低渗透　切入点：产能预测　出处：《东北石油大学》2015年硕士论文

【摘要】：产能预测是在了解油井静态和动态数据的基础上,用一些方法对油井的生产能力进行预测。对油层产能进行定性或定量的预测一直是油藏开发领域的一个基本任务。但是低渗透油田开发早期资料短缺,且影响低渗透油田油井产能的因素众多,准确早期预测产能存在很大的困难。本文以古龙南地区M6区块为研究对象,开展低渗透油藏早期产能预测方法研究。首先,在结合渗流模型和实际统计分析的基础上,研究了影响低渗透油藏油井产能的影响因素；其次,针对低渗透油藏油井产能影响因素复杂的特点,研究讨论了四种低渗透油藏油井产能预测方法；最后,通过多种方法实际应用、对比,定量预测了古龙南M6区块油井产能分布,并进一步预测该区域开发可建产的生产规模。采用多种方法相互应证对古龙南地区低渗透油藏单井开发井的产能预测结果,已得到后续开发井实际产能验证,具有很好的符合率与准确性。
[Abstract]:Productivity prediction is based on understanding the static and dynamic data of the well, It has always been a basic task in the field of reservoir development to predict the production capacity of oil wells qualitatively or quantitatively with some methods. There are many factors that affect the productivity of oil wells in low permeability oil field, so it is difficult to predict the productivity accurately and early. This paper takes M6 block in Gulongnan area as the research object, and carries out the research on early productivity prediction method of low permeability reservoir. Based on the percolation model and the actual statistical analysis, this paper studies the influencing factors of oil well productivity in low permeability reservoir. Secondly, aiming at the complex characteristics of the influencing factors of oil well productivity in low permeability reservoir, Four kinds of oil well productivity prediction methods in low permeability reservoirs are studied and discussed. Finally, the productivity distribution of oil wells in Gulonan M6 block is quantitatively predicted by comparing and comparing with the practical application of many methods. The productivity prediction results of single well development wells in low permeability reservoirs in Gulongnan area have been verified by the actual production capacity of subsequent development wells. Good coincidence rate and accuracy.
【学位授予单位】：东北石油大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE328

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