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Intelligent gas field system and method for self-adaption and intelligent analysis and decision making

An intelligent analysis and self-adaptive technology, applied in earthwork drilling, wellbore/well valve devices, and production fluids, etc., can solve problems such as abnormal production, incomplete data, and inability to intelligently adjust parameters to achieve high-quality production guarantee Effect

Active Publication Date: 2020-11-20
CHINA UNIV OF PETROLEUM (BEIJING) +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] With the development of natural gas wells, we often face the following problems: gas wells produce water, and gradually become liquid drainage production or intermittent production; single well formation pressure depletion is different, high production wells inhibit the production of low production wells; when the wellhead is not heated for production, especially in winter, it is easy to Frozen blockage, instrument damage, resulting in abnormal production and incomplete data; setting the valve opening based on experience cannot be adjusted in real time with changes in well conditions; the current automation is mainly controlled by manually setting parameters in advance, which cannot be adjusted according to the on-site engineering environment Change adaptive intelligent parameter adjustment

Method used

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  • Intelligent gas field system and method for self-adaption and intelligent analysis and decision making

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Embodiment 1

[0027] This embodiment discloses an intelligent gas field system for adaptive and intelligent analysis and decision-making. Such as figure 1 As shown, the system includes a production status acquisition module 100 , a production parameter adjustment module 200 , a working condition identification and prediction module 300 and an intelligent service module 400 .

[0028] Production status collection module 100: used to collect the operating parameters of the gas production device. For example, the production status collection module 100 collects the load, displacement, dynamometer diagram, temperature, production, oil jacket pressure, valve opening and electrical parameter data of the gas production device. The production status acquisition module 100 includes an electrical parameter acquisition module, a temperature sensor, a pressure sensor, a dynamic liquid level measuring instrument, an integrated dynamometer, a flow sensor, an angular displacement sensor, and the like.

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Embodiment 2

[0038] This embodiment may be a further improvement and / or supplement to Embodiment 1, and repeated content will not be repeated here. In the case of no conflict or contradiction, the whole and / or part of the content of the preferred implementations of other embodiments may serve as supplements to this embodiment.

[0039] This embodiment provides a variety of fault diagnosis methods, which are applied to the intelligent application system of the gas production device:

[0040] 1. The technique of fault diagnosis of gas production devices based on dynamometer diagrams is based on the obtained high-quality dynamometer diagrams to establish a template library and a feature vector library of gas production well condition diagrams, and to use SVM and BR neural networks for machine learning to form Fault dynamic diagnosis model to realize fault identification of gas production equipment. Since the feature extraction method is used to abstract the main features of the outline of th...

Embodiment 3

[0057] This embodiment may be a further improvement and / or supplement to Embodiment 1, 2 or their combination, and repeated content will not be repeated. In the case of no conflict or contradiction, the whole and / or part of the content of the preferred implementations of other embodiments may serve as supplements to this embodiment.

[0058] Preferably, the cloud server 400b establishes a communication connection with the local server 400a corresponding to each gas production device via the wellhead Internet of Things device. The local server 400b corresponding to each gas production device in the cluster well site sends the operating parameters to the cloud server 400b. The cloud server 400b can obtain the operating parameters of each gas production device in the cluster well site via the local server 400a. The cloud server 400b can predict the occurrence time of the power peak under normal working conditions or abnormal working conditions, so that the cloud server 400b can ...

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Abstract

The invention relates to an intelligent gas field system and method for self-adaption and intelligent analysis and decision making. According to the system, an intelligent service module generates decision information for adjusting operating parameters of a gas production device on the basis of the operating parameters and / or gas well production parameters in combination with a machine learning algorithm model under a condition that a working condition recognition result and / or a prediction result of a working condition recognition and prediction module correspond / corresponds to a normal working condition, and feeds back the decision information to a production parameter adjustment module so as to optimize and adjust the production parameter adjustment module, or under a condition that theworking condition recognition result and / or the prediction result of the working condition recognition and prediction module correspond / corresponds to an abnormal working condition, the working condition recognition and prediction module generates emergency information and feeds the emergency information back to the production parameter adjustment module so as to carry out emergency adjustment ongas extraction parameters of the gas production device.

Description

technical field [0001] The invention relates to the technical field of intelligent gas production engineering, in particular to an intelligent gas field system and method for adaptive and intelligent analysis and decision-making. Background technique [0002] When the production pressure of the gas well is lower than the pipeline back pressure (generally 1.0-3Mpa), it will be in intermittent production, which affects the normal production capacity. If the remaining natural gas of a single well can be extracted at low cost, there will still be huge economic benefits and social benefits. Usually, pressurization measures are taken when the pressure of the gas well is close to the back pressure of the pipeline to maintain the production of the gas well. Under the current technical conditions, the investment in pressurization equipment is large, and the cost of gas production remains high; there are also gas fields that adopt the mode of intermittent production, and the productio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): E21B43/12E21B34/16E21B43/00
CPCE21B43/121E21B34/16E21B43/006
Inventor 檀朝东宋文容檀朝銮毛军军檀竹南冯钢孙向飞宋健
Owner CHINA UNIV OF PETROLEUM (BEIJING)
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