An optimization method for energy saving and production increase of pumping units in oil fields based on bp neural network and spea2 algorithm
A technology of BP neural network and optimization method, which is applied in the field of energy-saving and production-increasing optimization of pumping units in oil fields, and achieves the effect of strong nonlinear mapping ability
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[0040] An optimization method for energy saving and production increase of pumping units in oilfields based on BP neural network and SPEA2 algorithm is carried out according to the following steps:
[0041] 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;
[0042] 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; Rotational speed; Frequency;
[0043] The preferred five decision variables X are: stroke times, maximum load, minimum load, effective stroke, and calculated pump efficien...
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