DG油田特高含水期层系组合优化方法研究  

Study on Optimization Method of Reservoir Combination in DG Oil Field at Extra High Water Cut Stage

在线阅读下载全文

作  者:卓建龙 孙丽艳[1] 董驰[1] 褚洪涛 宋立甲 牛佳 ZHUO Jian-long;SUN Li-yan;DONG Chi;CHU Hong-tao;SONG Li-jia;NIU Jia(College of Petroleum Engineering,Northeast Petroleum University,Daqing 163000,China)

机构地区:[1]东北石油大学石油工程学院,黑龙江大庆163000

出  处:《数学的实践与认识》2023年第3期182-189,共8页Mathematics in Practice and Theory

摘  要:DG油田X区块经过多年开发,可采储量变少,储层非均质性严重,后续开采难以维持,研究DG油田层系优化组合,改变现状达到可持续开采的目的是重中之重.根据灰色关联及层系聚类法对DG油田进行合理,科学的开发层系划分.利用数理统计和油藏工程方法,结合数值模拟软件进行数值模拟,填补了层系组合的指标体系的相关空白,建立一整套层系组合优化的经济检验指标,形成一整套成熟的层系优化组合方法.研究表明,运用此方法在目标油田可以科学、快速的给出层系组合优化方案,同时组合的结果符合油田实际情况,可显著增加经济效益改善油田开发效果.After years of development,the recoverable reserves of X block of DG oilfield have become less and the reservoir heterogeneity is serious,so it is difficult to maintain the subsequent exploitation.Therefore,it is a top priority to study the optimization combination of DG oilfield layers and change the status quo to achieve the purpose of sustainable exploitation.According to the grey relation and layer clustering method,the DG oilfield is divided into reasonable and scientific development layers.By using mathematical statistics and reservoir engineering methods,combined with Numerical simulation software numerical simulation,a set of economic test indexes for the optimization of stratigraphic assemblage is established,and a set of mature stratigraphic assemblage optimization methods are formed.The research shows that this method can be used in the target oilfield to scientifically and quickly give the optimization scheme of the combination of layers,and the combination result is consistent with the actual situation of the oilfield,which can significantly increase the economic benefit and improve the oilfield development effect.

关 键 词:层系组合优化 灰色关联 组合指标 经济指标 检验指标 

分 类 号:TE32[石油与天然气工程—油气田开发工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象