Systems and methods for quantum monte carlo processing
US-2024428112-A1 · Dec 26, 2024 · US
US11346200B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11346200-B2 |
| Application number | US-201916704805-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 5, 2019 |
| Priority date | May 20, 2019 |
| Publication date | May 31, 2022 |
| Grant date | May 31, 2022 |
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The present disclosure belongs to the field of marine engineering, and in particular relates to a method and system for guaranteeing the safety of offshore oil well control equipment. The method comprises: identifying the state of a main structure of the offshore oil well control equipment, identifying the state of a hydraulic control unit of offshore oil well control equipment, identifying the state of an electronic control unit of offshore oil well control equipment, predicting the state of the offshore oil well control equipment and making a real-time decision based on existing information; and the system for guaranteeing the safety of the offshore oil well control equipment comprises a state identification subsystem of a main structure, a state identification subsystem of the hydraulic control unit, a state identification subsystem of the electronic control unit and a state prediction and real-time decision subsystem.
Opening claim text (preview).
The invention claimed is: 1. A method for guaranteeing the safety of an offshore oil well control equipment, comprising five major steps: identifying the state of a main structure of the offshore oil well control equipment, identifying the state of a hydraulic control unit of the offshore oil well control equipment, identifying the state of a electronic control unit of the offshore oil well control equipment, predicting the state of the offshore oil well control equipment and making a real-time decision based on existing information; wherein the identifying the state of the main structure of the offshore oil well control equipment specifically comprises: S 101 : obtaining states of nodes V 11 V 12 . . . V 1a A 11 A 12 . . . A 1b C 11 C 12 . . . C 1c at a characteristic value acquisition layer of the main structure of the offshore oil well control equipment by signal processing, the corresponding states being V 11 (m 11 ) V 12 (m 12 ) . . . V 1a (m 1a ) A 11 (s 11 ) A 12 (s 12 ) . . . A 1b (s 1b ) C 11 (w 11 ) C 12 (w 12 ) . . . C 1c (w 1c ); S 102 : obtaining failure probabilities of corresponding components based on an established Bayesian network, wherein for a component F 1x (x=1,2, . . . m), a method for solving the fault probabilities is as follows: P ( F 1 x ) = ∑ i = 1 n ∑ j = 1 y 1 i P ( F 1 x | I 1 i ( j ) ) P ( I 1 i ( j ) | V 11 ( m 11 ) … V 1 a ( m 1 a ) , A 11 ( s 11 ) … A 1 b ( s 1 b )
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Bayesian classification · CPC title
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Investigating or analysing materials by the use of electric, electrochemical, or magnetic means (G01N3/00 – G01N25/00 take precedence; measurement or testing of electric or magnetic variables or of electric or magnetic properties of materials G01R) · CPC title
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