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Optimization method of decision-making parameters in oilfield mechanical recovery process based on preference multi-objective optimization

A multi-objective optimization and oilfield technology, applied in the direction of instruments, adaptive control, control/regulation systems, etc., can solve problems such as high energy consumption and low system efficiency

Active Publication Date: 2019-06-14
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

Method used

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  • Optimization method of decision-making parameters in oilfield mechanical recovery process based on preference multi-objective optimization
  • Optimization method of decision-making parameters in oilfield mechanical recovery process based on preference multi-objective optimization
  • Optimization method of decision-making parameters in oilfield mechanical recovery process based on preference multi-objective optimization

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Embodiment Construction

[0029] name explanation

[0030] ST-UKFNN: Strong TrackUnscented Kalman FilterNeural Network, strong tracking unscented Kalman filter neural network;

[0031] ST-UPFNN: Strong Track Unscented Particle Filter Neural Network, a strong tracking unscented particle filter neural network, which combines ST-UKFNN, particle filter (Particle Filter), and BP neural network.

[0032] The method for optimizing the decision parameters of the oilfield mechanical production process based on preference multi-objective optimization provided by the present invention includes:

[0033] 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}.

[0034] where x 1 is the stroke decision variable, x 2 is the effective stroke decisio...

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Abstract

The invention provides an oil field mechanical extraction process decision parameter optimization method based on preference multi-objective optimization. The oil field mechanical extraction process decision parameter optimization method based on preference multi-objective optimization includes the steps: determining the efficiency influence factor and the performance variable during the oil extraction process of an oil field machine; performing dimension reduction processing on the load variable in a sample, constructing a new sample, and normalizing the new sample; based on the normalized new sample, constructing a neural network model; utilizing an ST-UPFNN algorithm to estimate the optimal state of the state variable formed by the weight thresholds in the neural network model; utilizing the optimal state variable to reconstruct the updated neural network model to obtain an oil extraction process model for an oil field machine; constructing a preference function for the practical liquid production capacity; utilizing a multi-objective evolutionary algorithm to optimize the top and bottom limitation of each decision parameter; and plugging the optimized decision variable into the oil extraction process model for an oil field machine, calculating the average value of the system performance of the optimized decision variable, and comparing with the average value of the system performance of the practical sample. The oil field mechanical extraction process decision parameter optimization method based on preference multi-objective optimization can improve the production efficiency for oil extraction of an oil extraction machine, and can reduce energy consumption.

Description

technical field [0001] The invention relates to the technical field of oilfield mechanical recovery, and more specifically, to a method for optimizing decision-making parameters of an oilfield mechanical recovery process based on preference multi-objective optimization. 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,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 唐海红辜小花杨利平张堃李太福裴仰军聂玲王坎
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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