CAJ | 학술논문

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。
위료사빈남채유엄매월산유량체도상급하체적지표，안배호생산계화．문중대증기탄토정주기내일산유량예측방법진행료연구。문중제출료용아보사（Arps）곡선묘술주기내산량변화규률，응용선성회귀법화이원회귀법대변화곡선진행의합，연후침대실제정황제출료산능예측방법。실예증명，예측방법간단가행차정도교고。
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.