Working fluid level prediction-based optimization method for stroke frequency of submersible reciprocating oil pumping unit

An optimization method and dynamic fluid surface technology, applied in the direction of instruments, self-adaptive control, control/regulation systems, etc., can solve the problems of submersible reciprocating pumping units without stroke optimization control methods, and can not adjust linear motors, etc., to achieve Significant energy-saving effect, improved control automation, and simple algorithm

Inactive Publication Date: 2012-02-15
HARBIN INST OF TECH
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  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the submersible reciprocating pumping unit does not have a reasonable stroke optimization control method, and the lin

Method used

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  • Working fluid level prediction-based optimization method for stroke frequency of submersible reciprocating oil pumping unit
  • Working fluid level prediction-based optimization method for stroke frequency of submersible reciprocating oil pumping unit
  • Working fluid level prediction-based optimization method for stroke frequency of submersible reciprocating oil pumping unit

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specific Embodiment approach 1

[0017] Specific implementation mode one: combine figure 1 Describe this implementation mode, this implementation mode is realized through the following steps:

[0018] Step 1, normalization processing of the time series of the dynamic liquid surface;

[0019] Step 2. Reconstruct the sample space of the dynamic liquid surface time series after step 1 normalization;

[0020] Step 3, establishing a support vector dynamic liquid level prediction model, and performing regression prediction of the dynamic liquid level time series;

[0021] Step 4. Determine the economical objective function of stroke optimization

[0022] Taking the parameters or functions related to the economy of the operation of the submersible reciprocating pumping unit as parameters, the function model of stroke times and economic indicators is established, and according to the strength of the influence of each parameter in the economic function on the function, Simplify the economic function to obtain the...

specific Embodiment approach 2

[0026] Specific implementation mode two: the normalization processing process of the dynamic liquid surface time series in the step one of the present implementation mode:

[0027] use the formula Change the sample data of dynamic liquid level and stroke times to the same order of magnitude range, normalize the original data of dynamic liquid level and linear motor stroke times to between [-1, 1],

[0028] In the formula: For normalized data, x i is the original sample data, x max is the maximum value in the time series, x min is the minimum value in the time series.

[0029] When the support vector machine model predicts, it focuses on modifying the weights corresponding to variables with large values, which will affect the weight training corresponding to variables with small values. Therefore, variables with large values ​​have a greater impact on the output deviation, while dynamic The change range of the liquid level data is large, and the order of magnitude differ...

specific Embodiment approach 3

[0030] Specific implementation mode three: the reconstruction process of the dynamic liquid surface time series sample space in step two of this embodiment: based on the normalized time series of the dynamic liquid surface and stroke times, construct a support vector machine training sample, and input For the reconstruction of the sample space, the input and output matrices are

[0031] Formula one:

[0032] Formula two: y 1 y 2 . . . y n - m = ...

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Abstract

The invention relates to a stroke frequency method of a submersible reciprocating oil pumping unit, more particularly to a working fluid level prediction-based optimization method for a stroke frequency of a submersible reciprocating oil pumping unit. Therefore, problems that there is no reasonable stroke frequency optimization control method for a submersible reciprocating oil pumping unit and alinear motor can not be adjusted according to an oil well state can be solved. The method comprises the following steps that: step one, normalization processing is carried out on a working fluid level time sequence; step two, a sample space of the working fluid level time sequence that has been processed by the normalization processing is reconstructed; step three, working fluid level prediction model supporting a vector machine is established and regression prediction on the working fluid level time sequence is carried out; step four, an economic target function of stroke frequency optimization is determined; step five, a stroke frequency optimization model is determined; step six, with utilization of the stroke frequency optimization model obtained in the step five, an optimization method for the stroke frequency is obtained by employing section division and time interval division methods. According to the invention, the method is applied to an oil well of a submersible reciprocating oil pumping unit.

Description

technical field [0001] The invention relates to a pumping method for a submersible reciprocating pumping unit. Background technique [0002] The submersible reciprocating pumping unit is a new type of pumping unit driven by a linear motor. At present, the supporting facilities of this type of pumping unit used in major oil fields are not complete, especially the linear motor control system lacks effective optimal control. method, the vast majority of submersible reciprocating pumping units are in an uncontrolled operation state, which will cause waste of oilfield development resources and increase the production cost, and may lead to an increase in the failure rate of submersible reciprocating pumping units. [0003] Since the submersible reciprocating pumping unit adopts a new lifting method driven by a linear motor, the pumping unit has good controllability and energy-saving potential. However, at present, the control system of the submersible reciprocating pumping unit i...

Claims

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Application Information

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IPC IPC(8): G05B13/04
Inventor 齐维贵于德亮张永明邓盛川
Owner HARBIN INST OF TECH
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