Decision-making method and system for suspension operation of marine riser system based on digital twin

A method for a suspension operation of a marine riser system based on a digital twin, applied to a physical entity structure of a marine riser coupling system composed of a marine environment system, a drilling platform and a riser system, and arranged to monitor a sensor group of the physical entity structure, wherein the method comprises:

• S1, acquiring original monitoring data by the sensor group to establish a physical entity structure model;
• S2, acquiring real-time monitoring data from the sensor group to establish a digital twin model of the physical entity structure;
• and
• S3, establishing a suspension operation model of the physical entity structure based on the digital twin model, and determining a position of the drilling platform from the suspension operation model
• wherein step S1 specifically comprises:
• S11, acquiring marine environment data and structural state data of the drilling platform and the physical entity structure respectively by the sensor group;
• S12, processing the marine environment data and the structural state data based on a multi-source information processing technology;
• and
• S13, constructing the physical entity monitoring model in combination with the marine environment data and the structural state data;
• and
• wherein step S2 specifically comprises:
• S21, acquiring the real-time monitoring data, and establishing a marine riser coupling system solution model composed of an environmental load model and a structural mechanics model based on a marine structural dynamics theory:
• S22, using a frequency domain method to convert the marine riser coupling system solution model into a frequency response function model or a reverse inverse model established in a form of modal superposition;
• S23, combining the frequency response function model or the reverse inverse model with the marine environment data and the structural state data to reversely obtain a flow profile of a steady-state ocean current;
• S24, inputting the flow profile and the structural state data into the marine riser coupling system solution model, and acquiring dynamics simulation data of the physical entity structure;
• S25, using a machine learning algorithm to train a difference value between the real-time monitoring data and the simulation data to obtain a data mapping model;
• and
• S26, integrating the environmental load model, the structural mechanics model and the data mapping model to obtain the digital twin model.