CN-121996649-A - Correction method of deepwater jacket digital twin database based on measured data

CN121996649ACN 121996649 ACN121996649 ACN 121996649ACN-121996649-A

Abstract

A correction method of a deepwater jacket digital twin database based on measured data belongs to the field of ocean engineering structures. And correcting the responses of all the rods in the database and the mapping relation with sea conditions through the distribution rules of the actual measurement and simulation responses of the specific measuring points and the different types of rods on the deepwater jacket. According to the method, on the basis of a database formed by sea conditions and simulation responses of the deepwater jacket digital twin system, the database is gradually corrected by utilizing the distribution rules of actual measurement and simulation responses on the deepwater jacket and combining actual measurement response data accumulated after system operation, so that the accuracy of the deepwater jacket digital twin system is improved.

Inventors

WANG HUOPING
ZENG CHEN
CHENG CONGZHI
Yue Aming
ZHOU LEI
ZHU DONGXU
WU WENHUA
LIU HUAXIANG
WANG WEIWEI
ZHANG RENLONG
WANG DEYANG
LIU LEI

Assignees

中海石油(中国)有限公司深圳分公司
海洋石油工程股份有限公司
大连科迈尔海洋科技有限公司
大连理工大学

Dates

Publication Date: 20260508
Application Date: 20260227
Priority Date: 20250703

Claims (7)

1. The deepwater jacket digital twin database correction method based on the measured data is characterized by comprising the following steps of: S1, searching data, namely searching six groups of load data closest to a certain actual measured load and corresponding response data in a database; s2, response data interpolation, namely calling six groups of response data in the step S1, and calculating to obtain response data corresponding to the current actual measurement load by using an inverse distance weighted interpolation method; S3, calculating dynamic correction coefficients of the measuring points by using actual measurement response data corresponding to the current actual measurement load and the response data in the step S2; s4, fitting dynamic correction coefficients, namely fitting the relation between the dynamic correction coefficients of the three structures of the main leg, the diagonal brace and the horizontal brace and the height of the catheter frame through the dynamic correction coefficients of the measuring points; S5, correcting response data, namely replacing the measuring point response data with measured response data of the measuring points, calculating corresponding dynamic correction coefficients according to the structural category and the height of the non-measuring points and combining the fitting relation in the step S4, and correcting the data; S6, storing the actual measurement load for correction, the corresponding corrected response data and the mapping relation thereof in a digital twin system database to finish correction.
2. The deepwater jacket digital twin database based on measured data according to claim 1, wherein the database construction method in step S1 is as follows: Correcting and expanding a digital twin system database acquired by a simulation end by adopting measured data acquired by a monitoring end, wherein the measured data comprises measured load data and measured response data; the monitoring end comprises an anemometer, a wave measuring radar, a current meter and a load signal demodulation module for data transmission, and the fiber grating strain sensor responds to the data transmission of the signal demodulation module; The system comprises a monitoring end, a load signal demodulation module, a response signal demodulation module, a digital twin system database and a load data processing module, wherein the data of the load signal demodulation module is processed and stored as actual measurement load data, and the data of the response signal demodulation module is processed and stored as actual measurement response data; the method comprises the steps of carrying out sea condition joint sampling on past wind speed data, past wave data and past ocean current data of a simulation end, storing the past wind speed data, the past wave data and the past ocean current data in a digital twin system database as load data, applying load to a simulation model by the load data at the simulation end, and storing response output by simulation in the digital twin system database as response data.
3. The method for correcting the digital twin database of the deepwater jacket based on the measured data, which is disclosed in claim 2, is characterized in that the digital twin system database comprises the measured load data, the load data and the mapping relation, wherein the load data is formed by jointly sampling the loads of the past wind speed data, the past wave data and the past ocean current data, the load data is regularly supplemented according to the measured load data of the load, the response data is formed by calculation of a simulation model, and the correction and the expansion are carried out according to the measured response data.
4. The method for correcting the digital twin database of the deepwater jacket based on the measured data, which is disclosed in claim 3, is characterized in that the measured response data comprises three types of structural members of the deepwater jacket, namely main legs, diagonal braces and horizontal braces, wherein each type of structure is provided with 3 measuring points along the height direction of the jacket for arranging fiber bragg grating strain sensors, and the measuring point monitoring data are demodulated to form the measured response data.
5. The method for correcting the digital twin database of the deepwater jacket based on the measured data of claim 1, wherein the load data in the step S1 are six-dimensional data including wind direction, wind speed, sense wave height, spectral peak period, flow direction and surface flow velocity.
6. The method for correcting the digital twin database of the deepwater jacket based on the measured data according to claim 1, wherein in the step S3, the dynamic correction coefficient is a correction coefficient for representing the measured response and the response data obtained by simulation of the corresponding position: , Wherein: Dynamic correction coefficients for the rod under the load of interest; The measured response value of the rod piece under the sea condition; the response value of the rod piece under the corresponding sea condition is obtained as the database.
7. The method for correcting a digital twin database of a deep water jacket based on measured data as set forth in claim 1, wherein in the step S5, the correction data is calculated by combining dynamic correction coefficients under a specific sea condition Calculating dynamic correction coefficient of the rod along the change relation of the height direction of the catheter frame Under the sea condition, the response value of the rod after correction is: , Wherein, the The response value of the rod piece under the corresponding sea condition is obtained as a database.

Description

Correction method of deepwater jacket digital twin database based on measured data Technical Field The invention relates to a correction method of a deepwater jacket digital twin database based on measured data, which is suitable for the digital construction of deepwater jackets and the operation management scene of data driving, and belongs to the field of ocean engineering structures. Background The deep water jacket has a complex structure, the water depth is generally 300 meters or more, and under severe and complex sea conditions of deep water, higher requirements on stress, corrosion resistance, durability and fatigue damage of the jacket structure are provided. In order to ensure long-term safe service of the deepwater jacket platform, the construction and operation of the platform are eager to develop intelligent upgrade on the operation and maintenance of the deepwater jacket through a digital twin meter technology. The digital twin has the functions of opening up the digital space and the physical world, integrating and fusing the physical data with the twin model, forming a comprehensive decision and feeding back to the physical world, and provides a novel application mode for enterprises to develop intelligent upgrading. The digital twin technology is realized on the deepwater jacket, and the stress state of each part of the structure is required to be calculated and displayed in real time according to the actual load. The dynamic response of a real jacket structure is difficult to reflect in simulation calculation, and the jacket is affected by corrosion, aging, marine organism adhesion and the like in the service process, so that the structure can be changed to a certain extent, and the conventional load-response rule cannot be completely suitable for the current structure. Therefore, the deep water jacket digital technology is realized, and the problems that simulation data and past data in a database are corrected through actual measurement data of limited measuring points, and data are expanded, namely, a more accurate load-response mapping relation is constructed are needed to be solved. Disclosure of Invention Aiming at the problems, the invention provides a correction method of a deepwater jacket digital twin database based on measured data. The dynamic correction coefficient is calculated by comparing the actually measured load and the response data acquired by the monitoring end with the data in the simulation database, and all the response data in the database and the mapping relation between the response data and sea conditions are corrected according to the distribution rules of different rod types and height directions. In order to achieve the above purpose, the present invention adopts the following technical scheme: A correction method of a deepwater jacket digital twin database based on measured data comprises the following steps: S1, searching data, namely searching six groups of load data closest to a certain actual measured load and corresponding response data in a database; s2, response data interpolation, namely calling six groups of response data in the step S1, and calculating to obtain response data corresponding to the current actual measurement load by using an inverse distance weighted interpolation method; S3, calculating dynamic correction coefficients of the measuring points by using actual measurement response data corresponding to the current actual measurement load and the response data in the step S2; s4, fitting dynamic correction coefficients, namely fitting the relation between the dynamic correction coefficients of the three structures of the main leg, the diagonal brace and the horizontal brace and the height of the catheter frame through the dynamic correction coefficients of the measuring points; S5, correcting response data, namely replacing the measuring point response data with measured response data of the measuring points, calculating corresponding dynamic correction coefficients according to the structural category and the height of the non-measuring points and combining the fitting relation in the step S4, and correcting the data; S6, storing the actual measurement load for correction, the corresponding corrected response data and the mapping relation thereof in a digital twin system database. Further, the database construction method in step S1 is as follows: Correcting and expanding a digital twin system database acquired by a simulation end by adopting measured data acquired by a monitoring end, wherein the measured data comprises measured load data and measured response data; the monitoring end comprises an anemometer, a wave measuring radar, a current meter and a load signal demodulation module for data transmission, and the fiber grating strain sensor responds to the data transmission of the signal demodulation module; The system comprises a monitoring end, a load signal demodulation module, a response signal demodulation module, a digital t