A method and apparatus for reducing the pressure of high pressure lines of a drillship

By using a probabilistic neural network proxy model and dynamic visualization equipment for high-pressure mud pipelines, the problem of real-time monitoring and control of high-pressure pipelines on drilling and production vessels was solved, achieving high-precision safety status assessment and closed-loop control, reducing construction risks, and advancing the digitalization process of high-pressure pipelines on drilling and production vessels.

CN116591625BActive Publication Date: 2026-06-23SUN YAT SEN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-04-11
Publication Date
2026-06-23

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Abstract

The application discloses a kind of monitoring method and equipment for reducing the pressure of high-pressure pipeline of drilling and production ship, and relates to high-pressure pipeline technical field, the method comprises: obtaining the real-time performance data of high-pressure pipeline of drilling and production ship, the real-time performance data includes high-pressure pipeline pressure data, motor rotating speed data of high-pressure mud pump, drill pipe motion state data and top drive motion state data;The real-time performance data is preprocessed;The high-pressure pipeline pressure data after preprocessing is input into the high-pressure mud pipeline probabilistic neural network agent model trained in advance to predict the safety condition level;According to the safety condition level predicted, control signal is generated to control the high-pressure pipeline of drilling and production ship.The application can realize closed-loop control of control process, with high accuracy and strong pertinence.
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Citation Information

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