Optimization method of achieving oil field pumping unit oil-extraction energy conservation and production increasing with back propagation (BP) neural network and non-dominated sorting genetic algorithm (NSGA) 2

A BP neural network and optimization method technology, applied in the field of energy saving and production increase optimization of pumping units in oilfields, to achieve the effect of solving nonlinear system modeling problems and strong nonlinear mapping capabilities

Active Publication Date: 2013-07-10
重庆华燊科技集团有限公司
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Problems solved by technology

Such a complex system is difficult to describe it with an accurate mathematical model,

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  • Optimization method of achieving oil field pumping unit oil-extraction energy conservation and production increasing with back propagation (BP) neural network and non-dominated sorting genetic algorithm (NSGA) 2
  • Optimization method of achieving oil field pumping unit oil-extraction energy conservation and production increasing with back propagation (BP) neural network and non-dominated sorting genetic algorithm (NSGA) 2
  • Optimization method of achieving oil field pumping unit oil-extraction energy conservation and production increasing with back propagation (BP) neural network and non-dominated sorting genetic algorithm (NSGA) 2

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Embodiment Construction

[0043] An optimization method for energy saving and production increase of pumping units in oil fields by using BP neural network and NSGA2, which is carried out according to the following steps:

[0044] 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;

[0045] 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;

[0046] The preferred five decision variables X are: stroke times, maximum load, minimum load, effective stroke, and calculated pump efficiency.

[0047]...

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Abstract

An optimization method of achieving oil field pumping unit oil-extraction energy conservation and production increasing with a back propagation (BP) neural network and a non-dominated sorting genetic algorithm (NSGA) 2 is characterized by comprising the steps of (1) determining a decision variable X; (2) collecting power consumption and oil production Y, and obtaining a sample matrix; (3) building a pumping unit oil extraction process model with the decision variable X as input and the power consumption and oil production Y as output; (4) optimizing the decision variable with the NSGA2 multiobjective evolutionary algorithm; (5) and substituting the optimized decision variable X optimization value in a back propagation neutral network (BPNN) model to guide practical production. The optimization method has the advantages that the best ideal point of production increasing and energy conservation can be searched out, the optimal values of process parameters can be determined, and practical production guidance is carried out according to the optimized process parameter optimal values.

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 realizing energy saving and production increase of a pumping unit in an oil field by using a BP neural network and NSGA2. 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 generator...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/02
Inventor 李太福辜小花廖志强易军
Owner 重庆华燊科技集团有限公司
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