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Abnormal stress diagnosis method for FPSO single-point mooring system

An abnormality diagnosis and single-point mooring technology, which is applied to special-purpose ships, ship construction, anchorage arrangements, etc., can solve the problems of non-targeted, low-precision detection results, and inability to quantify mooring system abnormalities, etc.

Active Publication Date: 2021-05-07
CNOOC ENERGY TECH & SERVICES
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Problems solved by technology

However, underwater ROV detection is often not targeted, and the accuracy of the detection results is low, and it is impossible to quantify the abnormalities of the mooring system, and the failure of the mooring system is often combined with unforeseen, long-term accumulation of systematic defects. Rely on the statistical analysis results of long-term monitoring data to give quantitative analysis guidance

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Embodiment Construction

[0039] Based on the data set collected by the sensor on the FPSO hull and the single point system, the present invention filters the data, deletes invalid data signals, and obtains valid marine environment data, FPSO motion data and anchor chain tension data. Afterwards, according to the algorithm of this patent, the overall evaluation standard value of the force state of the mooring system under the current sea conditions is calculated, so as to quickly and accurately determine whether the force of the current mooring system is abnormal, and guide offshore oil production operations. The specific implementation method is divided into the following steps:

[0040] The first step is to monitor the sea state environmental data and mooring force data through the sensors arranged on the FPSO hull and single point system, and obtain the basic monitoring database required for evaluation. The database should include the following parameters: 1. A time index parameter Time. 2. Marine ...

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Abstract

The invention provides an abnormal stress diagnosis method for an FPSO single-point mooring system; the method comprises the following steps: monitoring sea condition environment data, FPSO motion and anchor chain tension data through a sensor arranged on an FPSO, and obtaining a basic database of monitoring data needed by evaluation; performing data cleaning on the acquired monitoring data, the data cleaning comprising data exception screening and time continuity checking; analyzing the cleaned monitoring data, setting monitoring time periods, and calculating the sea condition environment data, the FPSO movement data and the anchor chain tension data average value of each monitoring time period; setting monitoring periods, and counting FPSO movement and anchor chain tension data under different wind wave and flow combined sea conditions in each continuous monitoring period in each monitoring period; calculating an overall evaluation standard value; and evaluating whether the whole mooring system has an abnormal stress condition or not under the current sea condition through monitoring data.

Description

technical field [0001] The invention relates to an algorithm for diagnosing abnormal force of an FPSO single point mooring system. Background technique [0002] The floating production and storage unit (FPSO) has the functions of oil, gas and water treatment, crude oil storage, external transportation and life support. It is fixed on the sea for long-term operations through a single point mooring system. It is the main equipment for the production of offshore oil and gas resources. Once a problem occurs will have extremely serious consequences. In recent years, ultra-limit sea conditions have occurred frequently, and single-point system failures have also increased. According to statistics, 90% of the failures come from the mooring system. The abnormal force causes the single-point mooring system to fail to perform its normal functions, resulting in the failure of the FPSO to be normally fixed at sea. Operation, oil riser breakage and other accidents. In the face of disast...

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Application Information

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IPC IPC(8): B63B79/15B63B79/10B63B21/50B63B35/44
CPCB63B79/15B63B79/10B63B21/50B63B35/4413B63B2021/505
Inventor 李牧李鹏杨凯东刘诗学韦晓强刘剑楠张宝雷杨学利解东良孙恪成何国雄
Owner CNOOC ENERGY TECH & SERVICES
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