Optimization of intermittent oil production pattern based on data mining technology

Abstract

In order to reduce production cost, intermittent oil production pattern is often used for low permeability oil wells. It is very important to establish the reasonable working system of intermittent oil production. In this paper, based on the data mining technology, through the regression analysis of monadic nonlinear equation, the mathematical model of the change of the dynamic liquid level height with time in intermittent shutdown period and intermittent pumping period are established respectively. According to the maximum production efficiency per unit time, the oil production index is determined. The particle swarm optimization algorithm is used to optimize the shutdown time of pump and determine the intermittent oil production pattern. Compared with the oil production index of other intermittent oil production patterns, this method has better oil production efficiency and higher economic benefits.