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作 者:舒华文[1] 姚磊[2] 李立刚[2] 孙伟峰[2] 董超群[2] 戴永寿[2]
机构地区:[1]胜利油田有限公司滨南采油厂,山东滨州256606 [2]中国石油大学(华东),山东东营257061
出 处:《电子设计工程》2012年第16期96-98,共3页Electronic Design Engineering
摘 要:为了使滨南采油厂每月产油量达到上级下达的指标,安排好生产计划,文中对蒸汽吞吐井周期内日产油量预测方法进行了研究。文中提出了用阿普斯(Arps)曲线描述周期内产量变化规律,应用线性回归法和二元回归法对变化曲线进行拟合,然后针对实际情况提出了产能预测方法。实例证明,预测方法简单可行且精度较高。In order to satisfy the requirement of the oil production and arranged for production planning in Binnan oil production plant, prediction methods of the daily oil production of steam stimulation wells were studied in this paper.That Arps curve described production change law was put forward, and methods of linear regression and binary regression were used to solving curve.Finally, a method of productivity prediction was put forward in view of the actual situation. The experiment and application show that the improved method has good performance.
分 类 号:TE331.1[石油与天然气工程—油气田开发工程]
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