Abstract
In the oil production process, some oil pumps exist in the light load running and empty pumping problems, which result in the waste of electric energy. In order to realize the oil pumping energy saving optimal control by adopting oil pumping start-stop intermittent control scheme, an intelligent energy saving optimal control system based on genetic algorithm and wavelet neural network is proposed in this paper. The Morlet wavelet is adopted as the activation function of neural network and builds the wavelet neural networkandthe structure and parameters of the wavelet neural network which are chromosome encoded, and the genetic algorithm is used to optimize the connection weights and the scale parameters in order to improve the generalization ability and the approximation ability of neural networks. The parameters of effective oil pumping energy saving optimal control are measured using multisensors. The system is used in the oil production plant; the test data show that the oil pumping energy conservation effect is obvious.
Highlights
The cost of oil production mainly comes from oil pumping unit energy consumption; so, in the oil production process, the study for oil pumping energy saving is very important and necessary [1, 2]
In order to further show the advantage of genetic wavelet neural network, the 200 samples data are randomly divided into 4 groups and each group has 50 samples of data
In order to solve the problem of energy consumption of oil pumping, adopt the “intermittent start-stop operation”
Summary
The cost of oil production mainly comes from oil pumping unit energy consumption; so, in the oil production process, the study for oil pumping energy saving is very important and necessary [1, 2]. Because oil pumping common extraction capacity is greater than the actual load of the oil well, oil pumping can appear as “long light load” and “empty pumping” phenomenon. This reduces the motor power factor, increasing oil pumping of invalid stroke, which is a large amount of electric energy waste, and makes the oil pumping equipment loss and repair costs increase. The manual control method can achieve energy savings at a certain extent, but there are some existing problems. The genetic wavelet neural network is applicable to oil pumping intelligent energy saving control
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