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Dynamic evolutionary modeling and energy-saving optimization method of oil extraction process of oil field machine

A technology of dynamic evolution and optimization methods, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as high energy consumption and low system work efficiency, and achieve the effect of improving efficiency

Inactive Publication Date: 2017-03-22
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

During the up and down movement of the rod column, the load of the liquid column changes periodically, which makes the oilfield machine system consume a lot of energy in terms of motor work and transmission, resulting in low system efficiency

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  • Dynamic evolutionary modeling and energy-saving optimization method of oil extraction process of oil field machine
  • Dynamic evolutionary modeling and energy-saving optimization method of oil extraction process of oil field machine
  • Dynamic evolutionary modeling and energy-saving optimization method of oil extraction process of oil field machine

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Embodiment Construction

[0031] name explanation

[0032] ST-UKFNN: Strong Trace Unscented Kalman FilterNeuralNetwork, Strong Trace Unscented Kalman Filter Neural Network.

[0033] MOGA: multi-objective genetic algorithm, multi-objective genetic algorithm

[0034] The dynamic evolution modeling and energy-saving optimization method of the oilfield mechanical recovery process provided by the present invention includes:

[0035] Step S1: Determine the efficiency influencing factors in the oil recovery process of the oilfield machine, and form the efficiency observation variable set {x 1 ,x 2 ,x 3 , L x n}; and, select the performance variables of the oilfield machine process system to form a set of performance observation variables {y 1 ,y 2}.

[0036] where x 1 is the stroke decision variable, x 2 is the effective stroke decision variable, x 3 ~x 5 Respectively, the environmental variables for calculating pump efficiency, water content, and average power factor are environmental variables, x...

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Abstract

The invention provides a dynamic evolutionary modeling and energy-saving optimization method of the oil extraction process of an oil field machine. The method comprises the following steps of: determining an efficiency influence factor and a performance variable in an oil extraction process of the oil field machine; carrying out dimension reduction processing on a load variable in a sample to construct a new sample, and carrying out normalization on the new sample; on the basis of the normalized new sample, constructing a neural network model; utilizing a ST-UKFNN (Strong Trace Unscented Kalman Filtering Neural Network) algorithm to estimate the optimal state of a state variable formed by a weight threshold value in the neural network model; utilizing an optimal state variable to reconstruct the updated neural network model to obtain an oil extraction process model of the oil field machine; constructing a preference function of a practical daily liquid yield, and utilizing a MOGA (Multi-Objective Genetic Algorithm) to carry out optimization on the respective upper limit and lower limit of a decision variable; and introducing the optimized decision variable into the oil extraction process model of the oil field machine, calculating the system performance of the optimized decision variable, and comparing the calculated value with the average value of the system performance of a practical sample. When the method is utilized, the production efficiency of the oil field machine can be improved, and energy consumption can be lowered.

Description

technical field [0001] The invention relates to the technical field of oilfield mechanical recovery, and more specifically, relates to a dynamic evolution modeling and energy-saving optimization method for an oilfield mechanical recovery process. Background technique [0002] Oilfield mechanical oil recovery is a mechanical oil recovery method, which is mainly composed of three parts: electric motor, ground transmission equipment and downhole pumping equipment. The oil production process of the oil field machine is mainly divided into two strokes: up and down. The up stroke is the upward movement of the donkey head suspension point, which needs to lift the sucker rod column and the liquid column, and the motor needs to consume a lot of energy; the down stroke is the donkey head suspension point. Moving downwards, the oil field machine rod rotates and pulls to do work on the motor. During the up and down movement of the rod column, the load of the liquid column changes perio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/06G06Q10/04G06F19/00
CPCG06Q50/06G06Q10/04G16Z99/00
Inventor 辜小花唐海红聂玲杨利平裴仰军张堃
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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