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A method for monitoring oil and gas production, a method for obtaining a fault identification model and relate device

A technology for oil and gas extraction and fault identification, which is used in design optimization/simulation, special data processing applications, instruments, etc., and can solve problems such as failure to detect component damage in oil and gas extraction equipment in time.

Active Publication Date: 2019-03-08
BEIJING GRIDSUM TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] It can be seen that the existing technology cannot detect the damage of the components in the oil and gas extraction equipment in time

Method used

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  • A method for monitoring oil and gas production, a method for obtaining a fault identification model and relate device
  • A method for monitoring oil and gas production, a method for obtaining a fault identification model and relate device
  • A method for monitoring oil and gas production, a method for obtaining a fault identification model and relate device

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Embodiment Construction

[0039] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0040] Such as figure 1 As shown, a method for obtaining a fault identification model provided by an embodiment of the present invention may include:

[0041] S001. Obtain training data, where the training data includes: parameter values ​​of various parameters in a normal state of a preset component and parameter values ​​of the various parameters in a failure state of the preset component, and The parameters...

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Abstract

A method for monitoring oil and gas production,a method for obtaining a fault recognition model and a related device are disclosed. The method comprises obtaining the training data, carrying out the machine learning on the training data: determining a first parameter value range of various parameters in a normal state of the preset part and a second parameter value range of various parameters in afaulty state of the preset part, comparing the first parameter value range and the second parameter value range of the same parameter, determining an influence weight of at least one parameter of theplurality of parameters according to the comparison result, and obtaining the fault identification model for outputting fault information of a preset component according to the influence weight. Thefault identification model obtained by the invention can automatically determine the fault information of the preset parts according to the inputted multiple parameters, so that the downhole operationis not required, the downhole operation is simple and convenient, and the damage of the parts in the oil and gas production equipment can be found in time.

Description

Technical field [0001] The invention relates to the field of oil and gas exploitation, in particular to an oil and gas exploitation monitoring method, a method for obtaining a fault identification model and related equipment. Background technique [0002] In the field of oil and gas production, affected by many factors, some parts of oil and gas production equipment are often damaged. If these damaged parts are not found and repaired in time, these damaged parts may cause damage to the entire oil and gas production equipment and further Affect the oil and gas extraction process. Therefore, it is very important to discover the damage of components in oil and gas production equipment in time. [0003] However, since many components (such as casings) in oil and gas production equipment are deep underground, it is not easy to detect damage to these components in time by conventional means such as naked eyes. The existing technology can only check whether each component is damaged one...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20Y02P90/02
Inventor 李志元
Owner BEIJING GRIDSUM TECH CO LTD
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