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Modeling and optimization method for dynamic evolution of oilfield mechanical recovery parameters based on computational intelligence

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

Active Publication Date: 2019-12-31
新疆中亚石油技术有限公司
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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

Method used

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  • Modeling and optimization method for dynamic evolution of oilfield mechanical recovery parameters based on computational intelligence
  • Modeling and optimization method for dynamic evolution of oilfield mechanical recovery parameters based on computational intelligence
  • Modeling and optimization method for dynamic evolution of oilfield mechanical recovery parameters based on computational intelligence

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Embodiment Construction

[0027] name explanation

[0028] ST-UKFNN: Strong Track Unscented Kalman Filter Neural Network, Strong Track Unscented Kalman Filter Neural Network.

[0029] ST-UPFNN: Strong Track Unscented Particle Filter Neural Network, a strong track unscented particle filter neural network, which combines ST-UKFNN, particle filter (Particle Filter), and BP neural network.

[0030] SPEA-II: Strength pareto evolutionary algorithm-II, an improved strength pareto evolutionary algorithm.

[0031] The computational intelligence-based dynamic evolution modeling and optimization method of oilfield mechanical recovery parameters provided by the present invention includes:

[0032] 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 ,...x n}; and, select the performance variables of the oilfield machine process system to form a set of performance observation variables {y 1 ,y...

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Abstract

The computational intelligence-based dynamic evolution modeling and optimization method of oilfield mechanical recovery parameters provided by the present invention includes: determining the efficiency influencing factors and performance variables in the process of oilfield mechanical recovery; performing dimension reduction processing on the load variables in the sample to construct a new sample, And normalize the new samples; construct a neural network model based on the normalized new samples; use the ST-UPFNN algorithm to estimate the optimal state of the state variables composed of weight thresholds in the neural network model; and use the optimal state variables Reconstruct the updated neural network model to obtain the oilfield mechanical recovery process model; use the SPEA-II algorithm to optimize the decision parameters; bring the optimized decision variables into the oilfield mechanical recovery process model, and calculate the system performance of the optimized decision variables The average value of , is compared with the average value of the system performance of the actual sample. The invention can improve the production efficiency of oil field mechanical recovery and reduce energy consumption.

Description

technical field [0001] The invention relates to the technical field of oilfield mechanical recovery, and more specifically, relates to a computational intelligence-based dynamic evolution modeling and optimization method for oilfield mechanical recovery parameters. 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, that is, the suspension point of the donkey head moves upward, and the sucker rod column and the liquid column need to be lifted, and the motor needs to consume a lot of energy; the down stroke, that is, the suspension point of the donkey head. 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 ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50G06N3/04
CPCG06F30/17G06F30/20G06N3/045
Inventor 辜小花裴仰军王坎李太福杨利平唐海红张利亚
Owner 新疆中亚石油技术有限公司
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