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

Active Publication Date: 2016-04-20
重庆华燊科技集团有限公司
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Such a complex system is difficult to describe it with an accurate mathematical model,

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  • An optimization method for energy saving and production increase of pumping units in oil fields based on bp neural network and spea2 algorithm
  • An optimization method for energy saving and production increase of pumping units in oil fields based on bp neural network and spea2 algorithm
  • An optimization method for energy saving and production increase of pumping units in oil fields based on bp neural network and spea2 algorithm

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Embodiment Construction

[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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Abstract

The invention discloses an oilfield pumping unit oil pumping energy saving and production increasing optimization method based on the back propagation neural network (BPNN) and the strength Pareto evolutionary algorithm 2 (SPEA2). The method is characterized by including the following steps: step 1, calculating decision variables X; step 2, collecting samples of power consumption and samples of oil production Y to acquire a sample matrix; step 3, building a process model of oil pumping of a pumping unit; step 4, optimizing each decision variable in the range of an upper limit and a lower limit of each decision variable by using the SPEA2 based on a BPNN model; step 5, guiding actual production if the power consumption is reduced and the oil production is improved, and if not, returning the process to the step 1, changing S1 decision variables X on purpose and screening the decision variables X again; and step 6, assigning S1+1 to the S1, and returning the process to the step 1 if the combination of the set S1 decision variables X can not enable the power consumption to be reduced and the oil production to be improved. The oilfield pumping unit oil pumping energy saving and production increasing optimization method based on the BPNN and the SPEA2 has the advantages that an optimal value of technological parameters can be determined, and actual production guiding can be carried out according to the optimized technological parameter optimal value.

Description

technical field [0001] The invention belongs to the control technology of the oil pumping process of a pumping unit, in particular to an optimization method for saving energy and increasing production of a pumping unit in an oil field based on a BP neural network and a SPEA2 algorithm. Background technique [0002] As a mechanical oil recovery method, pumping unit oil recovery is mainly composed of three parts: electric motor, ground transmission equipment and downhole pumping equipment. [0003] The whole process of pumping unit oil recovery is mainly two strokes up and down: during the up stroke, the suspension point of the donkey head needs to lift the sucker rod column and the liquid column. When the pumping unit is not balanced, the motor needs to pay a lot of energy. At this time, the motor is in the electric state; during the downstroke, the rod column of the pumping unit rotates and pulls to do work on the motor, so that the motor is in the running state of the gener...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50G06N3/02
Inventor 辜小花易军廖志强李太福
Owner 重庆华燊科技集团有限公司
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