An optimization method for energy saving and production increase of pumping units in oilfields by using bp neural network and non-dominated sorting genetic algorithm nsga2
A BP neural network and non-dominated sorting technology, applied in the direction of biological neural network models, etc., to achieve the effect of solving nonlinear system modeling problems and strong nonlinear mapping capabilities
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[0041] An optimization method for energy saving and production increase of pumping units in oil fields by using BP neural network and non-dominated sorting genetic algorithm NSGA2, which is carried out according to the following steps:
[0042] Step 1: Count all the original variables S that have an impact on power consumption and oil production, and determine S1 decision variables X that have a very large impact on power consumption and oil production during the oil recovery process of the oil pumping unit in the oil field;
[0043] From the parameter set: stroke times; maximum load; minimum load; effective stroke; calculated pump efficiency; dynamic liquid level; motor armature sampling current value; motor armature sampling current integral value; stroke; active power; power factor; back pressure; set Pressure; Oil pressure; Voltage; Current; Speed; Frequency;
[0044] The preferred five decision variables X are: stroke times, maximum load, minimum load, effective stroke, a...
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