Submarine pipeline construction method, device, equipment, storage medium and computer program

Abstract

The invention relates to the technical field of ocean engineering, in particular to a submarine pipeline construction method, device and equipment, a storage medium and a computer program. Carrying out three-dimensional modeling based on the marine survey information to generate a seabed digital twinborn model; according to the design scheme of the submarine pipeline, layout design of the submarine pipeline is carried out on the digital twin model, and the design scheme of the submarine pipeline is optimized through simulation analysis; performing simulated installation of the submarine pipeline through the digital twin model; and in the actual laying process, state information of the submarine pipeline is obtained in real time, the state information of the submarine pipeline is compared with the digital twin model, and a laying construction scheme is adjusted in real time according to the comparison result. A digital twin model is constructed for analog simulation, and data in an actual laying process is collected for comparison and verification, so that a construction scheme is optimized, design errors are reduced, the construction efficiency is improved, the maintenance cost is reduced, and safe operation of pipelines is ensured.

Description

Technical Field

[0001] This disclosure relates to the field of marine engineering technology, and in particular to a method, apparatus, equipment, storage medium, and computer program for constructing subsea pipelines. Background Technology

[0002] With the development of offshore oil and gas resources, subsea pipelines, as vital facilities connecting offshore platforms and land terminals, are crucial for construction and maintenance. Traditional subsea pipeline construction processes suffer from long design cycles, high construction risks, and high maintenance costs. Summary of the Invention

[0003] This disclosure provides a method, apparatus, equipment, storage medium, and computer program for constructing submarine pipelines, thereby building a digital twin model to simulate the submarine pipeline, collecting data from the actual laying process for comparison and verification, and thus optimizing the construction plan to reduce design errors, improve construction efficiency, reduce maintenance costs, and ensure the safe operation of the pipeline.

[0004] In a first aspect, this disclosure provides a method for constructing a submarine pipeline, including:

[0005] Obtain marine survey information;

[0006] Based on the marine survey information, a three-dimensional model is created to generate a digital twin model of the seabed;

[0007] Based on the subsea pipeline design scheme, the layout design of the subsea pipeline is carried out on the digital twin model, and the design scheme of the subsea pipeline is optimized through simulation analysis.

[0008] Simulated installation of subsea pipelines using digital twin models;

[0009] During the actual laying process, the status information of the subsea pipeline is acquired in real time, and the status information of the subsea pipeline is compared with the digital twin model. The laying construction plan is adjusted in real time based on the comparison results.

[0010] In some embodiments, the marine survey information includes at least one of seabed topography, marine geology, submarine pipelines, submarine cables, marine structures, and the marine dynamic environment.

[0011] In some embodiments, based on the subsea pipeline design scheme, the layout of the subsea pipeline is designed on the digital twin model, and the design scheme of the subsea pipeline is optimized through simulation analysis, including:

[0012] Create a 3D model of the subsea pipeline to represent its size, shape, and connection methods;

[0013] Computational fluid dynamics was used to simulate and analyze the flow of fluid in subsea pipelines in order to identify potential problem areas.

[0014] Finite element analysis software was used to simulate the structural response of subsea pipelines under different loads and environmental conditions in order to identify the strength and stability of subsea pipeline design schemes.

[0015] Mathematical optimization methods are applied to adjust the design parameters of the submarine pipeline design scheme in order to determine the optimal design scheme that meets the specified performance indicators.

[0016] In some embodiments, the simulated installation of subsea pipelines using a digital twin model includes:

[0017] Digital pipeline models are built using digital surveying and design technologies to achieve full-process simulation.

[0018] Establish a unified data warehouse, integrate and fuse the data, simulate the on-site process, control and environmental impact, conduct virtual verification of the subsea pipeline, and update and iteratively optimize the digital twin model based on the verification results;

[0019] Collect data from the design, procurement, and construction phases of submarine pipeline projects, and link, store, and share the data through a data warehouse;

[0020] By creating fluid models, the flow characteristics of fluids can be simulated.

[0021] In some embodiments, acquiring the status information of the subsea pipeline in real time during the actual laying process includes:

[0022] The location of the pipelaying vessel was obtained through the Global Positioning System;

[0023] The stress and bending conditions of the subsea pipeline during the laying process are monitored by tension gauges and bending sensors installed on the subsea pipeline.

[0024] Real-time data on the marine environment is collected through marine environmental monitoring equipment;

[0025] The seabed topography is measured by a remotely controlled underwater robot to collect seabed geological data;

[0026] Water depth is measured using a multibeam echo sounder to provide three-dimensional seabed images for evaluating the laying path;

[0027] Two-dimensional seabed images are generated using a side-scan sonar system to identify seabed obstacles and topographic features;

[0028] The structure and composition of seafloor surface sediments are detected using a shallow seismic profiling instrument.

[0029] In some embodiments, comparing the state information of the subsea pipeline with a digital twin model includes: integrating various state information of the subsea pipeline acquired in real time through the digital twin model, analyzing the structural stress response of the subsea pipeline, and predicting the load situation.

[0030] Secondly, this disclosure provides an apparatus for constructing a submarine pipeline, comprising:

[0031] The information acquisition module is used to acquire marine survey information;

[0032] The model generation module is used to perform three-dimensional modeling based on the marine survey information and generate a digital twin model of the seabed;

[0033] The analysis and optimization module is used to design the layout of the subsea pipeline on the digital twin model based on the subsea pipeline design scheme, and to optimize the subsea pipeline design scheme through simulation analysis.

[0034] The simulation installation module is used to simulate the installation of subsea pipelines using a digital twin model.

[0035] The scheme adjustment module is used to acquire the status information of the submarine pipeline in real time during the actual laying process, compare the status information of the submarine pipeline with the digital twin model, and adjust the laying construction scheme in real time based on the comparison results.

[0036] Thirdly, this disclosure provides a computer device including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described in the first aspect.

[0037] Fourthly, this disclosure provides a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the steps of the method described in the first aspect.

[0038] Fifthly, this disclosure provides a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the method described in the first aspect.

[0039] This disclosure provides a method, apparatus, equipment, storage medium, and computer program for constructing submarine pipelines. By building a digital twin model to simulate the submarine pipeline, collecting data from the actual laying process for comparison and verification, the construction plan is optimized to reduce design errors, improve construction efficiency, reduce maintenance costs, and ensure the safe operation of the pipeline. Attached Figure Description

[0040] The present disclosure will be described in more detail below based on embodiments and with reference to the accompanying drawings:

[0041] Figure 1This is a schematic flowchart of a method for constructing a submarine pipeline provided in an embodiment of this disclosure.

[0042] Figure 2 This is a schematic diagram illustrating the technical framework of the digital twin model provided in the embodiments of this disclosure.

[0043] In the accompanying drawings, the same parts are referred to by the same reference numerals, and the drawings are not drawn to scale. Detailed Implementation

[0044] To enable those skilled in the art to better understand the technical solutions of this disclosure, and to fully understand and implement the process of how this disclosure applies technical means to solve technical problems and achieve corresponding technical effects, the technical solutions in the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, not all embodiments. The embodiments of this disclosure and the various features within them can be combined with each other without conflict, and the resulting technical solutions are all within the protection scope of this disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without creative effort should fall within the protection scope of this disclosure.

[0045] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0046] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0047] With the development of offshore oil and gas resources, subsea pipelines, as crucial facilities connecting offshore platforms and land terminals, are of paramount importance in their construction and maintenance. Traditional subsea pipeline construction suffers from long design cycles, high construction risks, and high maintenance costs. Digital twin technology, as an emerging technology combining virtual and reality, can map physical space to digital space, providing decision support and optimization suggestions through real-time data interaction; however, it has not yet been widely applied in the field of subsea pipeline construction.

[0048] Example 1

[0049] Figure 1 This is a schematic flowchart illustrating a method for constructing a subsea pipeline according to an embodiment of this disclosure. Figure 1 As shown, a method for constructing a subsea pipeline includes:

[0050] Step S11: Obtain marine survey information.

[0051] In some implementations, marine survey information includes at least one of seabed topography, marine geology, submarine pipelines, submarine cables, marine structures, and the marine dynamic environment.

[0052] Step S12: Based on marine survey information, perform three-dimensional modeling to generate a digital twin model of the seabed.

[0053] In this embodiment, a digital twin model of the seabed is generated by three-dimensional modeling using computer software.

[0054] Step S13: Based on the subsea pipeline design scheme, design the layout of the subsea pipeline on the digital twin model, and optimize the subsea pipeline design scheme through simulation analysis.

[0055] In some implementations, based on the subsea pipeline design scheme, the layout of the subsea pipeline is designed on a digital twin model, and the design scheme is optimized through simulation analysis, including:

[0056] Step S13a: Use OFFPIPE to create a 3D model of the subsea pipeline to represent its size, shape, and connection method.

[0057] Step S13b: Through computational fluid dynamics, simulate and analyze the flow of fluid in the subsea pipeline to identify potential problem areas.

[0058] The flow of fluid in a subsea pipeline can include flow velocity, pressure distribution, temperature changes, etc., and potential problem areas include areas with turbulence, backflow, or excessive pressure loss.

[0059] Step S13c: Use finite element analysis software to simulate the structural response of the subsea pipeline under different loads and environmental conditions in order to identify the strength and stability of the subsea pipeline design scheme.

[0060] The finite element analysis software used in this step can be ANSYS, Abaqus, etc., to ensure the strength and stability of the pipeline design by simulating the structural response of the subsea pipeline under different loads and environmental conditions.

[0061] Step S13d: Apply mathematical optimization methods to adjust the design parameters of the submarine pipeline design scheme in order to determine the optimal design scheme that meets the specified performance indicators.

[0062] The mathematical optimization methods used in this step can be genetic algorithms, particle swarm optimization algorithms, etc. By applying mathematical optimization algorithms, the design parameters are automatically adjusted to find the best design scheme that meets the specified performance indicators, such as the lowest cost and / or the highest energy efficiency.

[0063] Step S14: Simulate the installation of the submarine pipeline using a digital twin model.

[0064] In some implementations, the simulated installation of subsea pipelines is carried out using digital twin models, including:

[0065] Step S14a: A digital model of the pipeline is built using digital surveying and design technology to achieve full-process simulation. In this embodiment, advanced digital surveying and design technology is used to build a digital model of the in-service pipeline, enabling full-process simulation.

[0066] Step S14b: Establish a unified data warehouse. After data fusion and integration, simulate the on-site process, control and environmental impact to conduct virtual verification of the subsea pipeline. Update and iteratively optimize the digital twin model based on the verification results.

[0067] Step S14c: Collect data from the design, procurement, and construction phases of the submarine pipeline project, and associate, store, and share the data through a data warehouse. In this embodiment, an information system is used to collect data from each stage of the pipeline project, including design, procurement, and construction, and the data is associated, stored, and shared through a data warehouse.

[0068] Step S14d: Simulate the flow characteristics of the fluid by creating a fluid model.

[0069] In this embodiment, by creating a high-precision fluid model, digital twin technology can simulate the flow characteristics of fluids in equipment such as pipes and reactors, including parameters such as flow velocity, pressure, and temperature. Furthermore, it can predict potential problems and take preventative measures.

[0070] Step S15: During the actual laying process, obtain the status information of the submarine pipeline in real time, compare the status information of the submarine pipeline with the digital twin model, and adjust the laying construction plan in real time according to the comparison results.

[0071] In some implementations, the status information of the subsea pipeline is acquired in real time during the actual laying process, including:

[0072] The location of the pipelaying vessel was obtained through the Global Positioning System;

[0073] The stress and bending conditions of the subsea pipeline during the laying process are monitored by tension gauges and bending sensors installed on the subsea pipeline.

[0074] Real-time data on the marine environment is collected through marine environmental monitoring equipment;

[0075] The seabed topography is measured by a remotely controlled underwater robot to collect seabed geological data;

[0076] Water depth is measured using a multibeam echo sounder to provide three-dimensional seabed images for evaluating the laying path;

[0077] Two-dimensional seabed images are generated using a side-scan sonar system to identify seabed obstacles and topographic features;

[0078] The structure and composition of seafloor surface sediments are detected using a shallow seismic profiling instrument.

[0079] The Global Positioning System (GPS) provides the pipelaying vessel with precise location information, enabling accurate navigation and positioning when used in conjunction with remotely operated vehicles (ROVs). Tension gauges and bending sensors are installed on the pipes to monitor stress and bending during installation, ensuring the pipes are not damaged by excessive stress. Marine environmental monitoring equipment, including wave, tide, and anemometers, collects real-time data on the marine environment, crucial for forecasting weather windows and construction plans. Remotely operated underwater vehicles (ROVs) are equipped with high-resolution cameras, sonar, and other sensors, allowing for precise measurements of the seabed topography and collection of geological data such as seabed morphology, depth, and currents. Multibeam echo sounders measure depth by emitting ultrasonic waves and receiving their reflections, providing a three-dimensional image of the seabed for assessing the laying path. Side-scan sonar systems generate two-dimensional images of the seabed by emitting sound waves and receiving reflected signals, suitable for identifying seabed obstacles and topographic features. Shallow seismic profiling instruments use sound waves to probe the structure and composition of surface sediments, aiding in assessing geological conditions during pipeline laying.

[0080] In some implementations, the state information of the subsea pipeline is compared with a digital twin model, including: integrating various state information of the subsea pipeline acquired in real time through the digital twin model, analyzing the structural stress response of the subsea pipeline, and predicting load conditions.

[0081] This embodiment integrates multiple sensors and real-time data, analyzes structural stress response through relevant algorithms, predicts load conditions, and provides more comprehensive data support. It simulates the entire laying process in a virtual environment, considering various factors such as horizontal curves, trench width, water level, and soil interaction to optimize the design scheme. It can monitor the construction process in real time, predict and respond to potential risks in a timely manner, and improve safety and efficiency. The digital twin model brings revolutionary improvements to subsea pipeline laying projects by providing more accurate data analysis, more efficient design, and more flexible risk management capabilities.

[0082] Example 2

[0083] This embodiment provides a subsea pipeline construction device, including:

[0084] The information acquisition module is used to acquire marine survey information; in this embodiment, a digital twin model of the seabed is generated by three-dimensional modeling using computer software.

[0085] The model generation module is used to perform 3D modeling based on marine survey information and generate a digital twin model of the seabed.

[0086] The analysis and optimization module is used to design the layout of the subsea pipeline on a digital twin model based on the subsea pipeline design scheme, and to optimize the subsea pipeline design scheme through simulation analysis.

[0087] The simulation installation module is used to simulate the installation of subsea pipelines using a digital twin model.

[0088] The scheme adjustment module is used to acquire the status information of the submarine pipeline in real time during the actual laying process, compare the status information of the submarine pipeline with the digital twin model, and adjust the laying construction scheme in real time based on the comparison results.

[0089] In some implementations, marine survey information includes at least one of seabed topography, marine geology, submarine pipelines, submarine cables, marine structures, and the marine dynamic environment.

[0090] In some implementations, based on the subsea pipeline design scheme, the layout of the subsea pipeline is designed on a digital twin model, and the design scheme is optimized through simulation analysis, including:

[0091] OFFPIPE was used to create a 3D model of the subsea pipeline to represent its size, shape, and connection methods. Computational fluid dynamics was used to simulate and analyze the flow of fluid in the subsea pipeline to identify potential problem areas. Finite element analysis software was used to simulate the structural response of the subsea pipeline under different loads and environmental conditions to identify the strength and stability of the subsea pipeline design scheme. Mathematical optimization methods were applied to adjust the design parameters of the subsea pipeline design scheme to determine the optimal design scheme that meets the specified performance indicators.

[0092] The flow of fluid within the subsea pipeline can include velocity, pressure distribution, and temperature variations. Potential problem areas include regions with turbulence, backflow, or excessive pressure loss. Finite element analysis software such as ANSYS and Abaqus can be used to simulate the structural response of the subsea pipeline under different loads and environmental conditions, ensuring the strength and stability of the pipeline design. Mathematical optimization methods such as genetic algorithms and particle swarm optimization can be used to automatically adjust design parameters to find the optimal design scheme that meets specified performance indicators, such as lowest cost and / or highest energy efficiency.

[0093] In some specific implementations, the simulated installation of subsea pipelines is carried out using digital twin models, including:

[0094] Digital pipeline models are built using digital surveying and design technologies to achieve full-process simulation; a unified data warehouse is established, and after data fusion and integration, the on-site process, control, and environmental impact are simulated to conduct virtual verification of the subsea pipeline. Based on the verification results, the digital twin model is updated and iteratively optimized; data from the subsea pipeline engineering design, procurement, and construction stages are collected, and the data is associated, stored, and shared through the data warehouse; and fluid models are created to simulate the flow characteristics of fluids.

[0095] In this embodiment, by creating a high-precision fluid model, digital twin technology can simulate the flow characteristics of fluids in equipment such as pipes and reactors, including parameters such as flow velocity, pressure, and temperature. Furthermore, it can predict potential problems and take preventative measures.

[0096] In some implementations, the status information of the subsea pipeline is acquired in real time during the actual laying process, including:

[0097] The location of the pipelaying vessel was obtained through the Global Positioning System;

[0098] The stress and bending conditions of the subsea pipeline during the laying process are monitored by tension gauges and bending sensors installed on the subsea pipeline.

[0099] Real-time data on the marine environment is collected through marine environmental monitoring equipment;

[0100] The seabed topography is measured by a remotely controlled underwater robot to collect seabed geological data;

[0101] Water depth is measured using a multibeam echo sounder to provide three-dimensional seabed images for evaluating the laying path;

[0102] Two-dimensional seabed images are generated using a side-scan sonar system to identify seabed obstacles and topographic features;

[0103] The structure and composition of seafloor surface sediments are detected using a shallow seismic profiling instrument.

[0104] The Global Positioning System (GPS) provides the pipelaying vessel with precise location information, enabling accurate navigation and positioning when used in conjunction with remotely operated vehicles (ROVs). Tension gauges and bending sensors are installed on the pipes to monitor stress and bending during installation, ensuring the pipes are not damaged by excessive stress. Marine environmental monitoring equipment, including wave, tide, and anemometers, collects real-time data on the marine environment, crucial for forecasting weather windows and construction plans. Remotely operated underwater vehicles (ROVs) are equipped with high-resolution cameras, sonar, and other sensors, allowing for precise measurements of the seabed topography and collection of geological data such as seabed morphology, depth, and currents. Multibeam echo sounders measure depth by emitting ultrasonic waves and receiving their reflections, providing a three-dimensional image of the seabed for assessing the laying path. Side-scan sonar systems generate two-dimensional images of the seabed by emitting sound waves and receiving reflected signals, suitable for identifying seabed obstacles and topographic features. Shallow seismic profiling instruments use sound waves to probe the structure and composition of surface sediments, aiding in assessing geological conditions during pipeline laying.

[0105] In some implementations, the state information of the subsea pipeline is compared with a digital twin model, including: integrating various state information of the subsea pipeline acquired in real time through the digital twin model, analyzing the structural stress response of the subsea pipeline, and predicting load conditions.

[0106] This embodiment integrates multiple sensors and real-time data, analyzes structural stress response through relevant algorithms, predicts load conditions, and provides more comprehensive data support. It simulates the entire laying process in a virtual environment, considering various factors such as horizontal curves, trench width, water level, and soil interaction to optimize the design scheme. It can monitor the construction process in real time, predict and respond to potential risks in a timely manner, and improve safety and efficiency. The digital twin model brings revolutionary improvements to subsea pipeline laying projects by providing more accurate data analysis, more efficient design, and more flexible risk management capabilities.

[0107] Example 3

[0108] Based on the above embodiments, this embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described in the above embodiments.

[0109] In some embodiments of this example, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps of the methods described in the above embodiments.

[0110] In some embodiments of this example, a computer program product is provided, including a computer program / instructions, which, when executed by a processor, implements the steps of the methods described in the above embodiments.

[0111] The processor may include, but is not limited to, one or more processors or microprocessors. Each processor may be implemented as an Application Specific Integrated Circuit (ASIC), Digital Signal Processor (DSP), Digital Signal Processing Device (DSPD), Programmable Logic Device (PLD), Field Programmable Gate Array (FPGA), controller, microcontroller, microprocessor, or other electronic component, for executing the methods described in the above embodiments.

[0112] Computer-readable storage media can be implemented by any type of volatile or non-volatile storage device or a combination thereof. Computer-readable storage media may include, but are not limited to, random access memory (RAM), read-only memory (ROM), flash memory, EPROM memory, EEPROM memory, registers, and computer storage media (e.g., hard disks, floppy disks, solid-state drives, removable disks, CD-ROMs, DVD-ROMs, Blu-ray discs, etc.).

[0113] Computer-readable storage media may also store at least one computer-executable program / instruction, such as computer-readable instructions. Computer-readable storage media include, but are not limited to, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. Computer-readable storage media may include, for example, read-only memory (ROM), hard disk, flash memory, etc. For example, a non-transitory computer-readable storage medium may be connected to a computing device such as a computer, and then, when the computing device executes the computer-readable instructions stored on the computer-readable storage medium, the various methods described above can be performed.

[0114] In addition, the computer device may include (but is not limited to) a data bus, an input / output (I / O) bus, a display, and input / output devices (e.g., keyboard, mouse, speakers, etc.).

[0115] The processor can communicate with external devices via the I / O bus through wired or wireless networks.

[0116] In one embodiment, the at least one computer-executable instruction may also be compiled into or comprise a software product / computer program product, wherein one or more computer-executable instructions are executed by a processor to perform the steps of the various functions and / or methods in the embodiments described herein.

[0117] Example 4

[0118] This embodiment provides an application example of the foregoing embodiments, implementing the methods or devices in the foregoing embodiments as a software platform for an intelligent controller. Operating system selection: Due to the high stability and reliability of the embedded Linux operating system, it is chosen as the software runtime platform for the intelligent controller. Control program development: Based on the different real-time requirements and computational loads of the control tasks, the developed control programs run on both the system's real-time kernel and the original Linux kernel to meet the real-time requirements of the control system.

[0119] The technical framework of digital twin models, such as Figure 2 As shown:

[0120] The 3D model is primarily responsible for realistically and accurately representing the subsea pipeline and its surrounding environment, providing an intuitive graphical and spatial reference for data and algorithm models. The 3D model plays a fundamental architectural role in digital twin technology. Through high-precision 3D modeling, the subsea pipeline and its surrounding topography can be reproduced in a virtual environment, providing a realistic foundational scenario for subsequent simulations and analyses. This helps technical personnel gain a deeper understanding of the physical environment and allows for the prediction and resolution of potential problems before construction, thus optimizing the design.

[0121] The data model is the data engine in digital twin technology. It is responsible for collecting, integrating, and managing massive amounts of data from sensors, monitoring systems, and the external environment. This data is transmitted to the cloud platform in real time via IoT technology, and after preprocessing, it is stored in a database. The data model needs to have highly efficient data parsing and processing capabilities to ensure that data can be quickly updated and reflected in the 3D model and algorithm model. The data model is also responsible for maintaining data integrity and security, preventing data loss and unauthorized access.

[0122] The algorithm model is the core of intelligence in digital twin technology. It analyzes and calculates massive amounts of data provided by the data model to predict and optimize various performance indicators of subsea pipelines. For example, using machine learning and deep learning algorithms, it can predict the corrosion rate, structural integrity, and potential failure points of subsea pipelines. The algorithm model can also perform trend analysis based on historical and real-time data, providing early warnings of potential risks and offering decision support, such as optimizing maintenance plans and emergency response schemes. The algorithm model needs continuous updating and iteration to adapt to changes in the external environment and internal system parameters.

[0123] In summary, the digital twin model of subsea pipelines, through the close integration of 3D models, data models, and algorithm models, enables efficient management and intelligent operation and maintenance throughout the entire lifecycle of subsea pipelines. The 3D model provides intuitive scene reproduction, the data model provides robust data support, and the algorithm model offers in-depth analysis and optimization capabilities. The combined effect of these three elements makes the management of subsea pipelines more intelligent and precise, significantly improving the system's safety and reliability.

[0124] The technical framework is explained in detail below:

[0125] I. Constructing a three-dimensional model of the subsea pipeline.

[0126] The finite element method was used to establish the force model, elastic model, and fluid structure interaction model of the subsea pipeline, and the comprehensive evaluation results were obtained through coupling analysis.

[0127] in,

[0128] 1. Establishment of the finite element model, including:

[0129] Discretization: The continuous pipeline structure is discretized into a finite number of elements, which are connected by nodes; Material properties: Define the elastic modulus and other relevant parameters of the pipeline material, such as Poisson's ratio and yield strength; Boundary conditions and loads: Apply appropriate boundary conditions, such as fixed supports and sliding supports, and define the loads acting on the pipeline, including internal pressure, external pressure, gravity, etc.

[0130] 2. Fluid-structure interaction models, including:

[0131] Fluid-structure interaction: Considering the influence of fluid pressure and flow on the pipeline structure, it is necessary to apply coupled analysis methods of fluid mechanics and structural mechanics to accurately simulate the interaction between fluid and pipeline; Dynamic effects: Analyze the dynamic effects caused by fluid flow, such as vortex-induced vibration and water hammer, which will affect the stability and safety of the pipeline.

[0132] 3. Coupling analysis, including:

[0133] Solution strategy: Use an appropriate solver for coupled analysis, which may include direct coupling or iterative coupling. Direct coupling solves the governing equations of the fluid and structure simultaneously, while iterative coupling solves the fluid and structure equations alternately until convergence is achieved. Result verification: Verify the accuracy and reliability of the model by comparing it with experimental data or other reliable numerical results.

[0134] 4. Comprehensive evaluation results, including:

[0135] Stress-strain analysis: Evaluate the stress and strain distribution of the pipeline under different operating conditions, determine the location of the maximum stress and strain, and whether it exceeds the yield limit of the material; Deformation analysis: Calculate the deformation of the pipeline after being subjected to force, including axial, radial and circumferential displacement, and evaluate the pipeline's operating performance and safety; Stability assessment: Analyze the stability of the pipeline during long-term operation, including buckling resistance, fatigue life, etc., to ensure the long-term reliability of the pipeline design.

[0136] II. Establish a marine simulation environment.

[0137] Numerical solutions are used to solve the marine environment vector field, thereby making the marine environment in the digital twin model of the subsea pipeline more consistent with reality.

[0138] 1. Establish simulation objectives and scope: Clarify the specific objectives of the simulation, such as predicting ocean currents, waves, temperature distribution, etc.; determine the geographical scope of the simulation, ranging from local sea areas to global scales.

[0139] 2. Select an appropriate mathematical model: Use the Navier-Stokes equations to describe fluid motion; apply state equations to describe the state variables of seawater.

[0140] 3. Selection and application of numerical methods: The finite element method is used to transform continuous mathematical problems into discrete forms that can be processed by computers.

[0141] 4. Construct the computational grid: Design a suitable computational grid to cover the entire simulation region, which may include structured or unstructured grids.

[0142] 5. Implement initial and boundary conditions: Set the initial conditions for the simulation, such as initial temperature, salinity, and flow rate. Define boundary conditions, such as the flow rate at the open boundary and the impermeability of the closed boundary.

[0143] 6. Write and debug code: Write computer programs based on the selected numerical methods to solve the model.

[0144] 7. Model Validation and Calibration: The model is validated and calibrated using field observation data or historical data.

[0145] The method for constructing the marine environment simulation is as follows: the third-generation wave numerical model Wave-WatchⅢ (WW3) mathematical model is used to realistically simulate the vector field of the marine environment.

[0146]

[0147] Y = Ya + Yn + Ym + Yl + Yk.

[0148] In the formula: Z is the wave interaction density spectrum; σ is the relative frequency; Δx is the two-dimensional Hamiltonian operator; L is the flow velocity; bg is the wave group velocity; α and β are the wave direction and wave velocity, respectively; y is a coordinate of the direction α; c is a coordinate perpendicular to y; Y is the source term of the wave spectrum, including the linear input term Ya, the wind input term Yn, the nonlinear wave interaction term Ym, the dissipation term Yl, and the seabed friction term Yk; t is time; and d is the diameter of the subsea pipeline.

[0149] III. Establish a dynamic model for the subsea pipeline.

[0150] A hydrodynamic model of the subsea pipeline is constructed using the rigid body six-degree-of-freedom motion equations. The six-degree-of-freedom motion variables of the subsea pipeline are designed as follows:

[0151]

[0152] δ = [u, i, o, p, q, w] T

[0153] In the formula, χ represents the three-dimensional position (r, e, s) and the orientation angle of the three axes in a fixed geographic coordinate system. δ represents the three-axis velocities (u, i, o) and angular velocities (p, q, w) in the coordinate system of the subsea pipeline attachment.

[0154] Since there is a variable relationship between the fixed coordinate system and the attached coordinate system, the transformation relationship between the two is as follows:

[0155] χ=σK(χ)

[0156] In the formula: K is the transformation matrix.

[0157] The unified time-domain model theory and modular concept are the foundation for constructing the kinematic model of the subsea pipeline, and its expression is as follows:

[0158] Mv = f D +f F +f G +f H +f J +f K +f V ,

[0159]

[0160] In the formula: Mv is the force exerted on the subsea pipeline; f D f F f G These represent the three directional forces generated by the subsea pipeline; f H f J f K f v R represents the environmental disturbance forces caused by wind, ocean current, first-order waves, and second-order waves, respectively; R is the added mass matrix; W is the damping coefficient matrix; Q is the impulse response function matrix; I is the still water restoring force matrix; η is the coordinate system variable transformation coefficient; v is the subsea pipeline velocity; τ is the start time; t is the end time of action; fo is the nonlinear viscous force; and e1 is the mass coefficient.

[0161] IV. Input Variables. The model inputs include key parameters such as the diameter, material, wall thickness, water depth, and marine environmental factors (e.g., ocean currents, waves, wind).

[0162] V. Output Variables. The model will output relevant parameters such as pipeline stress, settlement, and displacement.

[0163] VI. Verification Methods. Monitoring data from the actual laying process was used, along with ROV and remote sensing technologies, to obtain parameters such as pipeline stress, settlement, and displacement. These parameters were then compared with the model predictions for verification.

[0164] Digital twin technology enables virtual construction and real-time monitoring of subsea pipelines, significantly improving the efficiency and safety of their construction. Simultaneously, simulation analysis and optimized design reduce unnecessary trial and error, saving manpower, resources, and time. Furthermore, real-time comparison and adjustment allow for timely detection and resolution of problems, preventing safety incidents.

[0165] In the embodiments provided in this disclosure, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative; for example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0166] It should be noted that, in this disclosure, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element limited by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0167] While the embodiments disclosed herein are as described above, the foregoing content is merely for the purpose of facilitating understanding of this disclosure and is not intended to limit this disclosure. Any person skilled in the art to which this disclosure pertains may make any modifications and changes in form and detail of the implementation without departing from the spirit and scope of this disclosure; however, the scope of patent protection of this disclosure shall still be determined by the scope defined in the appended claims.

Claims

1. A method for constructing a submarine pipeline, characterized in that, include: Obtain marine survey information; Based on the marine survey information, a three-dimensional model is created to generate a digital twin model of the seabed; Based on the subsea pipeline design scheme, the layout design of the subsea pipeline is carried out on the digital twin model, and the design scheme of the subsea pipeline is optimized through simulation analysis. Simulated installation of subsea pipelines using digital twin models; During the actual laying process, the status information of the subsea pipeline is acquired in real time, and the status information of the subsea pipeline is compared with the digital twin model. The laying construction plan is adjusted in real time based on the comparison results.

2. The method according to claim 1, characterized in that, The marine survey information includes at least one of the following: seabed topography, marine geology, submarine pipelines, submarine cables, marine structures, and marine dynamic environment.

3. The method according to claim 1, characterized in that, Based on the subsea pipeline design scheme, the layout of the subsea pipeline is designed on the digital twin model, and the design scheme is optimized through simulation analysis, including: Create a 3D model of the subsea pipeline to represent its size, shape, and connection methods; Computational fluid dynamics was used to simulate and analyze the flow of fluid in subsea pipelines in order to identify potential problem areas. Finite element analysis software was used to simulate the structural response of subsea pipelines under different loads and environmental conditions in order to identify the strength and stability of subsea pipeline design schemes. Mathematical optimization methods are applied to adjust the design parameters of the subsea pipeline design scheme in order to determine the optimal design scheme that meets the specified performance indicators.

4. The method according to claim 1, characterized in that, Simulated installation of subsea pipelines using digital twin models includes: Digital pipeline models are built using digital surveying and design technologies to achieve full-process simulation. Establish a unified data warehouse, integrate and fuse the data, simulate the on-site process, control and environmental impact, conduct virtual verification of the subsea pipeline, and update and iteratively optimize the digital twin model based on the verification results; Collect data from the design, procurement, and construction phases of submarine pipeline projects, and link, store, and share the data through a data warehouse; By creating fluid models, the flow characteristics of fluids can be simulated.

5. The method according to claim 1, characterized in that, The real-time acquisition of the status information of the subsea pipeline during the actual laying process includes: The location of the pipelaying vessel was obtained through the Global Positioning System; The stress and bending conditions of the subsea pipeline during the laying process are monitored by tension gauges and bending sensors installed on the subsea pipeline. Real-time data on the marine environment is collected through marine environmental monitoring equipment; The seabed topography is measured by a remotely controlled underwater robot to collect seabed geological data; Water depth is measured using a multibeam echo sounder to provide three-dimensional seabed images for evaluating the laying path; Two-dimensional seabed images are generated using a side-scan sonar system to identify seabed obstacles and topographic features; The structure and composition of seafloor surface sediments are detected using a shallow seismic profiling instrument.

6. The method according to claim 5, characterized in that, The state information of the subsea pipeline is compared with the digital twin model, including: integrating various state information of the subsea pipeline acquired in real time through the digital twin model, analyzing the structural stress response of the subsea pipeline, and predicting the load situation.

7. A subsea pipeline construction device, characterized in that, include: The information acquisition module is used to acquire marine survey information; The model generation module is used to perform three-dimensional modeling based on the marine survey information and generate a digital twin model of the seabed; The analysis and optimization module is used to design the layout of the subsea pipeline on the digital twin model based on the subsea pipeline design scheme, and to optimize the subsea pipeline design scheme through simulation analysis. The simulation installation module is used to simulate the installation of subsea pipelines using a digital twin model. The scheme adjustment module is used to acquire the status information of the submarine pipeline in real time during the actual laying process, compare the status information of the submarine pipeline with the digital twin model, and adjust the laying construction scheme in real time based on the comparison results.

8. A computer device, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product comprising a computer program / instructions, characterized in that, When executed by a processor, the computer program implements the steps of the method according to any one of claims 1 to 6.

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