Oil well pipe special buckle screwing quality judgment method based on ensemble learning algorithm

An integrated learning and judgment method technology, applied in the field of data processing, can solve problems such as costing a lot of manpower and time, affecting the accuracy of judgment, and high quality risk, so as to improve the accuracy rate, increase the qualified rate of appearance, and avoid the effect of safety hazards

Pending Publication Date: 2022-07-12
SHANGHAI UNIVERSITY OF ELECTRIC POWER +1
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AI Technical Summary

Problems solved by technology

[0004] However, in the production process of existing factories, the screwing quality of each oil well pipe special buckle product is judged manually based on the process parameters, which requires a lot of manpower and time, and the efficiency is low.
Moreover, different people's judgment methods for key values ​​are relatively subjective, and the judgments will be inconsistent, which will affect the accuracy of judgments and cause huge quality risks.

Method used

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  • Oil well pipe special buckle screwing quality judgment method based on ensemble learning algorithm
  • Oil well pipe special buckle screwing quality judgment method based on ensemble learning algorithm
  • Oil well pipe special buckle screwing quality judgment method based on ensemble learning algorithm

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Embodiment Construction

[0022] In order to make the technical means, creation features, goals and effects realized by the present invention easy to understand, the method for judging the quality of the oil well pipe special screw connection based on the integrated learning algorithm of the present invention is described in detail below with reference to the embodiments and the accompanying drawings.

[0023]

[0024] figure 1 It is a flow chart of the method for judging the quality of the special screw connection of oil well pipes based on the integrated learning algorithm in the embodiment of the present invention;

[0025] like figure 1 As shown in the figure, the method for determining the quality of oil well pipe special snaps and connections based on the integrated learning algorithm includes some steps:

[0026] In step S1, the parameters in the production process of the special buckle of the oil well pipe are collected, used as the original data set after preprocessing, and the original dat...

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Abstract

The invention provides an oil well pipe special buckle screwing quality judgment method based on an integrated learning algorithm, and the method comprises the steps: creating initial features for describing the states of a thread and a sealing surface based on screwing parameters, recognizing key features which have the most significant influence on a classification effect through an integrated screening algorithm, and carrying out the recognition of the classification effect on the basis. And a voting ensemble learning algorithm is fused to classify data samples, so that the intelligent judgment of the oil well pipe special buckle product quality is realized. By means of the intelligent quality judgment method, the accuracy of oil well pipe special buckle screwing quality judgment is improved, the automatic process of special buckle screwing quality judgment is accelerated, the labor cost of manual product process parameter judgment is saved, meanwhile, the misjudgment rate of product quality judgment is reduced, and the out-of-site qualification rate is improved. Meanwhile, the problems of missed judgment, misjudged judgment and the like easily occurring in quality judgment in the screwing process of the special buckle of the oil well pipe are solved, potential safety hazards in the oil and gas recovery process are greatly reduced, and potential safety hazards caused by outflow of unqualified products are avoided.

Description

technical field [0001] The invention belongs to the technical field of data processing, and relates to a method for intelligently judging the product quality of special buckles for oil well pipes, in particular to an intelligent judgment method for the quality of special buckles for oil well pipes based on an integrated learning algorithm. Background technique [0002] In recent years, the growth rate of domestic natural gas production is expected to remain stable at more than 8%, and 85% of the natural gas production process needs to use special oil-locking casing, especially in the process of sour gas field production. [0003] In the process of oil and gas recovery, under the condition of high gas pressure inside the pipeline, the leakage of a joint in the pipeline may cause the whole string of several kilometers to be pressurized, and in severe cases, it will cause harmful gas leakage or even blowout. Only some oilfields with special oil-locking casings are tested for th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/18G06F30/27G06K9/62G06Q10/04G06Q10/06G06Q50/04G06F111/08G06F113/14
CPCG06F30/18G06F30/27G06Q10/04G06Q10/06395G06Q50/04G06F2111/08G06F2113/14G06F18/2411G06F18/24323G06F18/214Y02P90/30
Inventor 吴明光郭慧茹刘琼吴婷周官皓
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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