A design method of a screw pump production system based on optimal solution

A production system and design method technology, applied in computing, biological neural network models, special data processing applications, etc., can solve problems such as insufficient adaptability, long design cycle, low accuracy, and achieve the effect of overcoming limitations

Active Publication Date: 2018-12-11
CHANGZHOU UNIV
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is: in order to overcome the deficiencies in the prior art, the present invention provides a design method for the screw pump production system based on the optimal solution to solve the problems of long design cycle, insufficient adaptability and low accuracy problem

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  • A design method of a screw pump production system based on optimal solution
  • A design method of a screw pump production system based on optimal solution

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Embodiment Construction

[0021] The present invention is described in further detail now in conjunction with accompanying drawing. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.

[0022] Such as figure 1 As shown, a design method of screw pump production system based on the optimal solution includes the following steps:

[0023] a. Construction of parameter database of screw pump production system:

[0024] Select the relevant parameter data of the PCP production system that has been in stable production for a period of time in different blocks and under different formation conditions for data sorting, and use the sorted data to form a parameter database.

[0025] The above parameter data mainly include oil layer depth, crude oil density, crude oil viscosity, stroke, stroke times, pump depth, pump diameter, liquid production, water co...

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Abstract

The invention relates to a design method of a screw pump production system based on an optimal solution, the method comprising the following steps: a, constructing a screw pump production system parameter database; b, carrying out construction of a neural network training set: according to the classification standard, the parameter database is divided into training sets containing three kinds of working conditions; c, performing the training process of the neural network, so that the neural network learns the parameter characteristics of the reasonable working condition, and determining the optimal solution; d, performing practical application: the optimal solution obtained from the trained neural network is applied to the design process of a screw pump production system. The method adoptsthe trained neural network to guide the design of the screw pump production system, avoids the lengthy formula calculation process, shortens the design cycle and saves manpower and material resources. The selection standard of the optimal solution is determined by the effective power, output, pump life and other factors, which makes the design results given by the neural network more in line withthe needs of production and development of oil wells, and the design results are more accurate.

Description

technical field [0001] The invention relates to the technical field of neural network and mechanical design, in particular to a method for designing a screw pump production system based on an optimal solution. Background technique [0002] In the process parameter design of the screw pump production system, the past theories were mostly based on empirical formulas, using the regression analysis method to establish the relationship between the screw pump production system and the rotor radius, rotor eccentricity, stator lead, pump displacement, speed, pump efficiency, stator The relationship between the interference between the bush and the rotor, the current and power of the motor, the selection of the sucker rod, and the check of the stress condition. However, because the design method is based on a mathematical model, the calculation workload is large and the design cycle is long, so it cannot be popularized and applied in a large area. At the same time, it also needs to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/04
CPCG06F30/17G06N3/045Y02P90/30
Inventor 何岩峰刘雅莉王相窦祥冀徐慧
Owner CHANGZHOU UNIV
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