Method and apparatus for assessing the risk of oil spill fire on a deepwater dry oil and gas platform

Abstract

This application provides a method and equipment for assessing the risk of flowing fire from oil spills on deep-water dry oil and gas platforms, relating to the field of marine engineering technology. When a flowing fire is detected due to an oil spill on a deep-water dry oil and gas platform, the method acquires the wind speed, platform sway parameters, and oil film radius of the environment in which the platform is located. Based on the wind speed, platform sway parameters, and oil film radius, a combustion rate model is used to determine the linear combustion rate of the flowing fire when the combustion area remains stable. Based on the linear combustion rate and oil film radius, the heat release rate and flame dynamic height of the flowing fire are determined. Based on the heat release rate and flame dynamic height, a flowing fire risk assessment is performed on the deep-water dry oil and gas platform to improve the accuracy of the risk assessment and thus ensure the safety of the deep-water dry oil and gas platform.

Description

Technical Field

[0001] This application relates to the field of marine engineering technology, and in particular to a method and equipment for assessing the risk of oil spillage and fire on deep-water dry oil and gas platforms. Background Technology

[0002] In the field of marine engineering technology, deep-water dry oil and gas platforms are integrated facilities specifically designed for the development of deep-sea oil and gas resources. Unlike traditional models that rely on subsea production systems, deep-water dry oil and gas platforms are floating production equipment that directly completes oil and gas separation, processing, and storage on the platform itself, without the need for complex underwater equipment. Through modular design and intelligent control, they achieve the entire process of oil and gas extraction, processing, storage, and transportation. With the continuous expansion of deep-sea oil and gas resource development, deep-water dry oil and gas platforms have been widely deployed due to their excellent resistance to wind and waves and stability, gradually becoming the mainstream model for deep-sea energy development. However, under harsh marine environmental conditions or when encountering external events such as collisions, the structural integrity of deep-water dry oil and gas platforms faces severe challenges, potentially leading to damage to oil storage tanks or pipelines and causing internal oil leaks. Once a leak occurs, if oil flows from the damaged area to the platform deck surface, the combined effects of the platform's own swaying motion, wind, and waves will form a dynamically spreading oil film. This oil film, when subjected to static electricity accumulation or encountering an external ignition source, can easily ignite a rotating flowing fire. As the flowing fire continues to spread, various equipment and structural surfaces on the platform deck may be ignited, potentially leading to a fire across the entire platform. This poses an extremely serious threat to the structural safety of the deep-water dry oil and gas platform and the lives of personnel on board. Therefore, a flowing fire risk assessment for oil spills is necessary for deep-water dry oil and gas platforms.

[0003] In related technologies, the risk assessment of oil spill flow fires on deep-water dry oil and gas platforms mainly involves establishing a first expression characterizing the changes in physical parameters during the flow fire propagation process based on conservation laws within a defined computational domain; and establishing a second expression characterizing the changes in conserved parameters during the flow fire propagation process based on the computational domain and the defined changing parameters. Based on the first and second expressions, a flow fire propagation equation is established using the Newton-Leibniz algorithm. Based on set initial conditions, the flow fire propagation equation is iteratively solved to obtain predicted values ​​of the oil film thickness and flow fire propagation velocity at different times during the flow fire propagation process. Thus, based on these predicted values, the risk assessment of oil spill flow fires on deep-water dry oil and gas platforms is achieved.

[0004] However, the risk assessment accuracy of the aforementioned methods for assessing the risk of oil spills and fires on deep-water dry oil and gas platforms is low, making it difficult to guarantee the safety of deep-water dry oil and gas platforms. Summary of the Invention

[0005] This application provides a method and equipment for assessing the risk of oil spillage and fire on deep-water dry oil and gas platforms, in order to improve the accuracy of risk assessment and thus ensure the safety of deep-water dry oil and gas platforms.

[0006] Firstly, this application provides a method for assessing the risk of oil spillage and fire on deep-water dry oil and gas platforms, including:

[0007] In the event of an oil leak and subsequent flow fire detected on a deep-water dry oil and gas platform, the wind speed, platform sway parameters, and oil film radius of the environment in which the deep-water dry oil and gas platform is located are obtained.

[0008] Based on wind speed, platform sway parameters, and leakage oil film radius, the linear combustion rate of the flowing fire when the combustion area remains stable is determined by constructing a combustion rate model. The combustion rate model reflects the correlation between the leakage oil film radius and the linear combustion rate of the flowing fire when the combustion area remains stable under the influence of wind speed and platform sway.

[0009] The heat release rate and dynamic flame height of the flowing fire are determined based on the linear combustion rate and the radius of the leaking oil film.

[0010] Based on the heat release rate and flame dynamic height, an oil spill and fire risk assessment is conducted on deep-water dry oil and gas platforms.

[0011] In one possible implementation, obtaining the leakage oil film radius of a deepwater dry oil and gas platform includes:

[0012] Determine the platform tilt angle of the deep-water dry oil and gas platform based on the platform sway parameters;

[0013] Based on the platform tilt angle, determine the comprehensive correction factor for oil leakage under the influence of wind speed and platform sway;

[0014] Based on the oil leakage parameters and comprehensive correction factor under the influence of wind speed and platform sway, the real-time leakage rate of oil leakage under the influence of wind speed and platform sway is determined by the leakage rate dynamic model. The leakage rate dynamic model reflects the correlation between the oil leakage parameters, comprehensive correction factor and leakage rate under the influence of wind speed and platform sway.

[0015] Based on the real-time leakage rate and leakage oil film thickness, the leakage oil film radius under the influence of wind speed and platform sway is determined through an oil film specification model. The oil film specification model reflects the correlation between leakage rate, leakage oil film thickness and leakage oil film radius.

[0016] In one possible implementation, the thickness of the leaking oil film is obtained in the following manner:

[0017] Based on the platform tilt angle and real-time leakage rate, the leakage oil film thickness under the influence of wind speed and platform sway is determined by the dynamic model of oil film thickness. The dynamic model of oil film thickness reflects the correlation between platform tilt angle, leakage rate and leakage oil film thickness.

[0018] In one possible implementation, the heat release rate and flame dynamic height of the flowing fire are determined based on the linear combustion rate and the radius of the leaking oil film, including:

[0019] Based on the linear combustion rate and the radius of the leaking oil film, the heat release rate of the flowing fire is determined by a dynamic heat release rate model. The dynamic heat release rate model reflects the correlation between the linear combustion rate, the radius of the leaking oil film, and the heat release rate.

[0020] Based on the heat release rate and the radius of the leaking oil film, the dynamic height of the flowing fire is determined by the flame dynamic height model. The flame dynamic height model reflects the correlation between the heat release rate, the radius of the leaking oil film, and the flame dynamic height.

[0021] In one possible implementation, an oil spill and flow fire risk assessment is conducted on deepwater dry oil and gas platforms based on heat release rate and flame dynamic height, including:

[0022] The dynamic thermal radiation intensity of the flowing fire is determined based on the heat release rate and the dynamic height of the flame.

[0023] Based on the intensity range of dynamic thermal radiation, the risk level for oil spill and fire risk assessment of deep-water dry oil and gas platforms is obtained.

[0024] In one possible implementation, determining the dynamic thermal radiation intensity of the flowing fire based on the heat release rate and the dynamic height of the flame includes:

[0025] Based on the heat release rate and flame dynamic height, the dynamic thermal radiation intensity of the flowing fire is determined through a dynamic thermal radiation model. The dynamic thermal radiation model reflects the correlation between the heat release rate, flame dynamic height, and dynamic thermal radiation intensity.

[0026] In one possible implementation, the method for assessing the risk of oil spillage and fire on deep-water dry oil and gas platforms provided in this application further includes:

[0027] The dynamic spread rate of the flowing fire was determined based on wind speed and platform sway parameters.

[0028] The location of the combustion front of the flowing fire is determined based on the dynamic spread rate of the flame.

[0029] In one possible implementation, determining the dynamic flame spread rate of the flowing fire based on wind speed and platform sway parameters includes:

[0030] Based on wind speed and platform sway parameters, the dynamic spread rate of the flowing fire is determined by the flame dynamic spread rate model. The flame dynamic spread rate model reflects the dynamic spread rate of the flowing fire caused by oil leakage under wind speed and platform sway.

[0031] In one possible implementation, the method for assessing the risk of oil spillage and fire on deep-water dry oil and gas platforms provided in this application further includes:

[0032] The thickness of leaking oil film on a deep-water dry oil and gas platform is monitored in real time using a distributed fiber optic sensor array, which is laid along the deep-water dry oil and gas platform.

[0033] And / or, real-time detection and positioning of field flames on deep-water dry oil and gas platforms are achieved through infrared-ultraviolet composite flame detectors, which are deployed on deep-water dry oil and gas platforms.

[0034] Secondly, this application provides a device for assessing the risk of oil spillage and fire on a deep-water dry oil and gas platform, comprising:

[0035] The acquisition module is used to acquire the wind speed, platform sway parameters, and leakage oil film radius of the deep-water dry oil and gas platform when an oil leak and flow fire are detected on the deep-water dry oil and gas platform.

[0036] The processing module is used to determine the linear combustion rate of the flowing fire when the combustion area remains stable, based on wind speed, platform sway parameters, and the radius of the leaked oil film, using a constructed combustion rate model. The combustion rate model reflects the correlation between the radius of the leaked oil film and the linear combustion rate of the flowing fire when the combustion area remains stable under the influence of wind speed and platform sway. Based on the linear combustion rate and the radius of the leaked oil film, the module determines the heat release rate and flame dynamic height of the flowing fire. Furthermore, based on the heat release rate and flame dynamic height, the module conducts a flowing fire risk assessment for deep-water dry oil and gas platforms.

[0037] In one possible implementation, the acquisition module is specifically used for:

[0038] Determine the platform tilt angle of the deep-water dry oil and gas platform based on the platform sway parameters;

[0039] Based on the platform tilt angle, determine the comprehensive correction factor for oil leakage under the influence of wind speed and platform sway;

[0040] Based on the oil leakage parameters and comprehensive correction factor under the influence of wind speed and platform sway, the real-time leakage rate of oil leakage under the influence of wind speed and platform sway is determined by the leakage rate dynamic model. The leakage rate dynamic model reflects the correlation between the oil leakage parameters, comprehensive correction factor and leakage rate under the influence of wind speed and platform sway.

[0041] Based on the real-time leakage rate and leakage oil film thickness, the leakage oil film radius under the influence of wind speed and platform sway is determined through an oil film specification model. The oil film specification model reflects the correlation between leakage rate, leakage oil film thickness and leakage oil film radius.

[0042] In one possible implementation, the leakage oil film thickness is obtained by: determining the leakage oil film thickness under the influence of wind speed and platform swaying based on the platform tilt angle and real-time leakage rate using a dynamic oil film thickness model. The dynamic oil film thickness model reflects the correlation between the platform tilt angle, leakage rate, and leakage oil film thickness.

[0043] In one possible implementation, the processing module is further configured to:

[0044] Based on the linear combustion rate and the radius of the leaking oil film, the heat release rate of the flowing fire is determined by a dynamic heat release rate model. The dynamic heat release rate model reflects the correlation between the linear combustion rate, the radius of the leaking oil film, and the heat release rate.

[0045] Based on the heat release rate and the radius of the leaking oil film, the dynamic height of the flowing fire is determined by the flame dynamic height model. The flame dynamic height model reflects the correlation between the heat release rate, the radius of the leaking oil film, and the flame dynamic height.

[0046] In one possible implementation, the processing module is further configured to:

[0047] The dynamic thermal radiation intensity of the flowing fire is determined based on the heat release rate and the dynamic height of the flame.

[0048] Based on the intensity range of dynamic thermal radiation, the risk level for oil spill and fire risk assessment of deep-water dry oil and gas platforms is obtained.

[0049] In one possible implementation, the processing module is further configured to:

[0050] Based on the heat release rate and flame dynamic height, the dynamic thermal radiation intensity of the flowing fire is determined through a dynamic thermal radiation model. The dynamic thermal radiation model reflects the correlation between the heat release rate, flame dynamic height, and dynamic thermal radiation intensity.

[0051] In one possible implementation, the processing module is further configured to:

[0052] The dynamic spread rate of the flowing fire was determined based on wind speed and platform sway parameters.

[0053] The location of the combustion front of the flowing fire is determined based on the dynamic spread rate of the flame.

[0054] In one possible implementation, when the processing module is used to determine the dynamic spread rate of a flowing fire based on wind speed and platform sway parameters, it is specifically used to: determine the dynamic spread rate of a flowing fire based on wind speed and platform sway parameters using a dynamic spread rate model, wherein the dynamic spread rate model reflects the dynamic spread rate of a flowing fire caused by an oil leak under wind speed and platform sway.

[0055] In one possible implementation, the acquisition module is further configured to:

[0056] The thickness of leaking oil film on a deep-water dry oil and gas platform is monitored in real time using a distributed fiber optic sensor array, which is laid along the deep-water dry oil and gas platform.

[0057] And / or, real-time detection and positioning of field flames on deep-water dry oil and gas platforms are achieved through infrared-ultraviolet composite flame detectors, which are deployed on deep-water dry oil and gas platforms.

[0058] Thirdly, this application provides a computing device, including: a memory and a processor;

[0059] The memory stores the instructions that the computer executes;

[0060] The processor executes computer execution instructions stored in memory, causing the processor to perform the first aspect and / or various possible implementations of the first aspect as described above.

[0061] Fourthly, this application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a device such as a processor, are used to implement the first aspect and / or various possible embodiments of the first aspect.

[0062] Fifthly, this application provides a computer program product, including a computer program that, when executed by a device such as a processor, implements the first aspect and / or various possible implementations of the first aspect.

[0063] The method and equipment for assessing the risk of flowing fire from oil leaks on deep-water dry oil and gas platforms provided in this application, when a flowing fire is detected due to an oil leak on a deep-water dry oil and gas platform, acquires the wind speed, platform sway parameters, and leakage oil film radius of the environment where the platform is located. Based on the wind speed, platform sway parameters, and leakage oil film radius, the linear combustion rate of the flowing fire is determined when the combustion area remains stable. This accounts for the influence of wind speed and platform sway on the occurrence of flowing fires from oil leaks on deep-water dry oil and gas platforms, making the risk assessment of flowing fires from oil leaks on deep-water dry oil and gas platforms more realistic and significantly improving its reliability. Based on the linear combustion rate and leakage oil film radius, the heat release rate and flame dynamic height of the flowing fire are determined to ascertain the fire spread pattern of flowing fires from oil leaks on deep-water dry oil and gas platforms. Based on the heat release rate and flame dynamic height, an oil spill and flow fire risk assessment is conducted on deep-water dry oil and gas platforms to improve the accuracy of the assessment and thus ensure the safety of these platforms. Attached Figure Description

[0064] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0065] Figure 1 A schematic diagram of a scenario for the oil spill and fire risk assessment method for deep-water dry oil and gas platforms provided in this application embodiment;

[0066] Figure 2 A flowchart illustrating a method for assessing the risk of oil spillage and fire on a deep-water dry oil and gas platform, as provided in an embodiment of this application.

[0067] Figure 3 A schematic diagram of a structural design for an oil spill and fire risk assessment device for a deep-water dry oil and gas platform provided in an embodiment of this application;

[0068] Figure 4 This is a schematic diagram of the structure of a computing device provided in an embodiment of this application.

[0069] The accompanying drawings have illustrated specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to specific embodiments. Detailed Implementation

[0070] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0071] Figure 1 This is a schematic diagram of a scenario illustrating the oil spill and fire risk assessment method for deep-water dry oil and gas platforms provided in this application embodiment. Figure 1 As shown in the specific application scenario of this application, there is a risk of oil leakage in the oil storage tanks, pipelines, and deck areas of deep-water dry oil and gas platforms. In the event of a leak, the oil will form a dynamically spreading oil film under the combined effects of platform movement, wind, and waves. This oil film may ignite into a flowing fire due to static electricity accumulation or external ignition sources, and the fire will spread along the oil film. The flowing fire releases heat energy through combustion, forming a high-temperature system. This high-temperature system then transmits energy outward in the form of electromagnetic waves, generating thermal radiation. The thermal radiation of flowing fire does not require a medium, such as air or liquid, to propagate, which is the main reason for its long-distance hazards. For example, strong thermal radiation can ignite surrounding flammable equipment and buildings, or cause burns to personnel. Therefore, the flowing fire risk assessment method for oil leakage on deep-water dry oil and gas platforms provided in this application is used to assess the flowing fire risk of oil leakage on deep-water dry oil and gas platforms.

[0072] To overcome the limitations of existing methods for assessing the risk of oil spills and flowing fires on deep-water dry oil and gas platforms, this application provides a method for assessing the risk of oil spills and flowing fires on deep-water dry oil and gas platforms. When an oil spill and flowing fire is detected on a deep-water dry oil and gas platform, the method obtains the wind speed, platform sway parameters, and the radius of the leaking oil film in the environment where the platform is located. Based on the wind speed, platform sway parameters, and the radius of the leaking oil film, the fire spread pattern of the flowing fire is quantified, and the risk of oil spills and flowing fires on the deep-water dry oil and gas platform is assessed to improve the accuracy of the risk assessment, thereby ensuring the safety of deep-water dry oil and gas platforms and the safety of deep-sea oil and gas development.

[0073] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0074] Figure 2 This is a flowchart illustrating a method for assessing the risk of oil spillage and fire on a deep-water dry oil and gas platform, as provided in an embodiment of this application. Figure 2As shown, the risk assessment method for oil spill and fire on this deep-water dry oil and gas platform includes:

[0075] S201. In the event of an oil leak and subsequent flow fire detected on a deep-water dry oil and gas platform, obtain the wind speed in the environment where the deep-water dry oil and gas platform is located, the platform sway parameters of the deep-water dry oil and gas platform, and the radius of the leaking oil film.

[0076] For example, deep-water dry oil and gas platforms can be monitored in real time using flame detectors or other equipment to determine if there is an oil leak or flowing fire. For example, when any two or more flame detectors simultaneously detect a flame ultraviolet signal intensity ≥ 5 × 10⁻⁻⁻⁴, the system can detect the leak. 7 When the infrared radiation intensity is ≥15kW / m², it is determined that a flowing fire has occurred.

[0077] Optionally, wind speed sensors can be installed at multiple locations on the deepwater dry oil and gas platform to monitor the wind speed in the surrounding environment in real time, or other wind speed measuring devices can be installed for monitoring. Platform sway parameters can be obtained through platform sway monitoring devices, such as installing accelerometers and gyroscopes at key structural parts of the platform to monitor sway parameters. These sensors can measure the platform's acceleration and angular velocity in real time, thereby calculating the platform's sway amplitude and frequency.

[0078] The radius of the leaking oil film can be monitored in real time using multimodal sensors or obtained through other monitoring equipment. For example, infrared cameras and lidar can be installed in the oil leak area of ​​a deep-water dry oil and gas platform. The infrared cameras monitor the thermal radiation of the leaking oil to determine the location and extent of the oil film; the lidar is used to accurately measure the radius and thickness of the oil film. Alternatively, the radius of the leaking oil film can also be obtained through other methods.

[0079] For example, the platform sway parameters of a deepwater dry oil and gas platform may include, but are not limited to, the sway amplitude and the wave excitation frequency during swaying, etc.

[0080] The execution subject of the deep-water dry oil and gas platform oil leakage flow fire risk assessment method provided in this application embodiment, such as a computing device, interacts with the aforementioned flame detector, wind speed measurement device, and monitoring device to obtain whether the deep-water dry oil and gas platform has leaked oil and caused a flow fire, as well as parameters such as the wind speed of the environment where the deep-water dry oil and gas platform is located, the platform sway parameters of the deep-water dry oil and gas platform, and the radius of the leaking oil film.

[0081] S202. Based on wind speed, platform sway parameters, and leakage oil film radius, the linear combustion rate of the flowing fire when the combustion area remains stable is determined by constructing a combustion rate model. The combustion rate model reflects the correlation between the leakage oil film radius and the linear combustion rate of the flowing fire when the combustion area remains stable under the influence of wind speed and platform sway.

[0082] By substituting wind speed, platform sway parameters, and leakage oil film radius into the constructed combustion rate model, the linear combustion rate of the flowing fire when the combustion area remains stable is calculated.

[0083] For example, the combustion rate model can be expressed as:

[0084]

[0085] in, Indicates the current moment of the oil spill, flow, and fire; The linear combustion rate of flowing fire when the combustion area remains stable; The maximum linear combustion rate when an oil leak causes a flow fire under the influence of wind speed and platform sway; This is the absorption and attenuation coefficient of thermal radiation on the oil surface when an oil leak causes a flow fire due to wind speed and platform sway. It is a constant value, for example... ; This is the average radiation path correction factor, which takes a constant value, for example... ; The radius of the leaked oil film when an oil leak occurs and a fire breaks out due to wind speed and platform sway.

[0086] The combustion rate model described above dynamically calculates the linear combustion rate by combining the oil film radius, thermal radiation absorption attenuation coefficient, and average radiation path correction coefficient.

[0087] S203. Determine the heat release rate and dynamic flame height of the flowing fire based on the linear combustion rate and the radius of the leaking oil film.

[0088] The linear combustion rate of flowing fire when the combustion area remains stable reflects the combustion propulsion efficiency of the oil film along the propagation path, and the radius of the leaking oil film defines the core range of the combustion zone.

[0089] As an example, in this step, the heat release rate and flame dynamic height of the flowing fire are determined based on the linear combustion rate and the leakage oil film radius. Specifically, based on a big data model, the correlation between the heat release rate and flame dynamic height of the flowing fire and the linear combustion rate and the leakage oil film radius can be learned. Then, based on this correlation, the heat release rate and flame dynamic height of the flowing fire under the predicted linear combustion rate and leakage oil film radius can be obtained.

[0090] Alternatively, based on the physical mechanism of flowing fire, a physical mechanism model reflecting the relationship between heat release rate and flame dynamic height, linear combustion rate and leakage oil film radius can be pre-created. Based on this physical mechanism model, the heat release rate and flame dynamic height of flowing fire under the predicted linear combustion rate and leakage oil film radius can be obtained.

[0091] Among them, the heat release rate reflects the energy released by the flowing fire per unit time, which determines the upper limit of the scale, intensity and potential destructive power of the flowing fire caused by the oil spill; the flame dynamic height describes the vertical distance of the flowing fire from the oil film surface to the visible tip of the flame, which defines the physical attack range of the flowing fire, especially the direct threat to the structures above and to the sides.

[0092] By determining the heat release rate and dynamic flame height of the flowing fire under the influence of wind speed and platform sway, core support is provided for accurately grasping the fire spread law of oil spill flowing fire, which is an important prerequisite for risk assessment of oil spill flowing fire on deep-water dry oil and gas platforms.

[0093] S204. Based on the heat release rate and flame dynamic height, conduct an oil spill and fire risk assessment for deep-water dry oil and gas platforms.

[0094] To address the risk of flowing fires caused by oil spills, precise and efficient risk assessments should be conducted using heat release rate and flame dynamic height as core quantitative indicators. The heat release rate directly determines the energy output intensity of the flowing fire; its magnitude not only relates to the scale and intensity of the fire but also predicts the intensity of thermal radiation impact on surrounding equipment and the potential probability of secondary explosions. Flame dynamic height clearly defines the vertical spatial impact range of the fire. Combined with dynamic changes in environmental factors such as platform sway and sea breezes, it can accurately determine whether the flames will directly threaten critical facilities above the platform and core structures on the sides, such as riser interfaces and underwater dry hulls.

[0095] It should be noted that when conducting oil spill and fire risk assessments for deepwater dry oil and gas platforms, it is not only necessary to assess the risk based on heat release rate and flame dynamic height, but also to combine other indicators.

[0096] The method for assessing the risk of flowing fire from oil leaks on deep-water dry oil and gas platforms provided in this application, when a flowing fire is detected due to an oil leak on a deep-water dry oil and gas platform, acquires the wind speed, platform sway parameters, and leakage oil film radius of the environment where the deep-water dry oil and gas platform is located. Based on the wind speed, platform sway parameters, and leakage oil film radius, the linear combustion rate of the flowing fire is determined when the combustion area remains stable. This method considers the influence of wind speed and platform sway on the occurrence of flowing fires from oil leaks on deep-water dry oil and gas platforms, making the risk assessment of flowing fires from oil leaks on deep-water dry oil and gas platforms more realistic and significantly improving its reliability. Based on the linear combustion rate and leakage oil film radius, the heat release rate and flame dynamic height of the flowing fire are determined to ascertain the fire spread pattern of flowing fires from oil leaks on deep-water dry oil and gas platforms. Based on the heat release rate and flame dynamic height, an oil spill and flow fire risk assessment is conducted on deep-water dry oil and gas platforms to improve the accuracy of the assessment and thus ensure the safety of these platforms.

[0097] Based on the above embodiments, S201, obtaining the leakage oil film radius of the deep-water dry oil and gas platform, may further include: determining the platform tilt angle of the deep-water dry oil and gas platform based on the platform sway parameters; determining the comprehensive correction factor for oil leakage under the influence of wind speed and platform sway based on the platform tilt angle; determining the real-time leakage rate of oil leakage under the influence of wind speed and platform sway based on the oil leakage parameters and comprehensive correction factor under the influence of wind speed and platform sway through a leakage rate dynamic model, wherein the leakage rate dynamic model reflects the correlation between the oil leakage parameters, comprehensive correction factor, and leakage rate under the influence of wind speed and platform sway; and determining the leakage oil film radius under the influence of wind speed and platform sway based on the real-time leakage rate and leakage oil film thickness through an oil film specification model, wherein the oil film specification model reflects the correlation between the leakage rate, leakage oil film thickness, and leakage oil film radius.

[0098] As one possible implementation, the platform sway parameters can include the platform's average tilt angle and sway amplitude during swaying. Based on this, determining the platform tilt angle of the deep-water dry oil and gas platform according to the platform sway parameters can include: determining the platform tilt angle according to the following formula:

[0099]

[0100] in, The platform tilt angle of a deep-water dry oil and gas platform; The average tilt angle of the deep-water dry oil and gas platform during swaying; The amplitude of the swaying during the swaying of a deep-water dry oil and gas platform; The wave excitation frequency during the swaying of a deep-water dry oil and gas platform; The cumulative leakage time following a leak on a deep-water dry oil and gas platform. The phase angle of the waves and the swaying of the deep-water dry oil and gas platform.

[0101] When determining the comprehensive correction factor for oil leakage under the influence of wind speed and platform sway based on the platform tilt angle, the formula for calculating the comprehensive correction factor can be as follows:

[0102]

[0103] in, This is a comprehensive correction factor for oil leakage caused by wind speed and platform sway. The wind speed when a deep-water dry oil and gas platform is swaying.

[0104] Furthermore, based on the oil leakage parameters and comprehensive correction factors under the influence of wind speed and platform sway, and using a dynamic leakage rate model to determine the real-time leakage rate of oil under the influence of wind speed and platform sway, the dynamic leakage rate model can be expressed as:

[0105]

[0106] in, The real-time leakage rate of oil leakage under the influence of wind speed and platform sway; The oil leakage coefficient is the effect of wind speed and oil and gas platform sway. The area of ​​the leak point due to the influence of wind speed and the shaking of the oil and gas platform; The oil storage pressure is affected by wind speed and the swaying of the oil and gas platform. The environmental pressure at which a deep-water dry oil and gas platform operates; The density of oil in a deep-water dry oil and gas platform; It is the acceleration due to gravity; This refers to the liquid level at the leak point when oil leaks in a deep-water dry oil and gas platform.

[0107] When determining the radius of the leaking oil film under the influence of wind speed and platform sway based on the real-time leakage rate and the thickness of the leaking oil film, using an oil film specification model, the oil film specification model can be expressed as:

[0108]

[0109] in, The radius of the leaking oil film under the influence of wind speed and platform sway; The thickness of the leaked oil film is determined by the influence of wind speed and the shaking of the oil and gas platform.

[0110] This implementation provides one possible method for obtaining the thickness of the leaking oil film. However, this application embodiment is not limited to this. For example, the thickness of the leaking oil film can also be obtained based on image processing technology, or it can also be measured by measuring devices such as sensors, etc. In this way, even if the acquisition method of the currently set application is abnormal, the thickness of the leaking oil film can still be obtained through other acquisition methods.

[0111] Similar to how the radius of the leaking oil film is obtained, the thickness of the leaking oil film can also be obtained through various methods. One method involves obtaining the leaking oil film thickness as follows:

[0112] Based on the platform tilt angle and real-time leakage rate, the leakage oil film thickness under the influence of wind speed and platform sway is determined by the dynamic model of oil film thickness. The dynamic model of oil film thickness reflects the correlation between platform tilt angle, leakage rate and leakage oil film thickness.

[0113] Due to the complexity of the marine environment, the thickness of a leaked oil film is simultaneously affected by multiple superimposed factors, including platform tilt, real-time leakage rate, ambient wind speed, and platform sway. Traditional static calculation methods are insufficient to meet the needs of dynamic control. Therefore, it is necessary to use the platform's real-time tilt angle and real-time leakage rate as core input variables, and rely on a dynamic oil film thickness model to accurately extrapolate the thickness of the leaked oil film under the coupled effects of wind speed and platform sway. The dynamic oil film thickness model can be expressed as:

[0114]

[0115] in, To calculate the thickness of the leaked oil film under the influence of wind speed and oil and gas platform sway; Real-time wind speed during the swaying of a deep-water dry oil and gas platform; The real-time leakage rate of oil leakage under the influence of wind speed and platform sway; The platform tilt angle of a deep-water dry oil and gas platform; The density of oil in a deep-water dry oil and gas platform; This is the acceleration due to gravity.

[0116] It is important to note that the thickness of the leaking oil film can be determined using a dynamic oil film thickness model, or it can be obtained in real time through other methods, such as dynamic monitoring of the leaking oil film thickness using multi-sensor fusion technology. Optionally, when the leaking oil film thickness cannot be detected using multi-sensor fusion technology, dynamic monitoring of the leaking oil film thickness can be achieved using an oil film thickness model.

[0117] In some embodiments, S203, determining the heat release rate and flame dynamic height of the flowing fire based on the linear combustion rate and the leakage oil film radius, may further include: determining the heat release rate of the flowing fire based on the linear combustion rate and the leakage oil film radius using a heat release rate dynamic model, wherein the heat release rate dynamic model reflects the correlation between the linear combustion rate, the leakage oil film radius, and the heat release rate; and determining the flame dynamic height of the flowing fire based on the heat release rate and the leakage oil film radius using a flame dynamic height model, wherein the flame dynamic height model reflects the correlation between the heat release rate, the leakage oil film radius, and the flame dynamic height.

[0118] When determining the heat release rate of a flowing fire using a dynamic heat release rate model based on the linear combustion rate and the radius of the leaking oil film, the dynamic heat release rate model can be expressed as:

[0119]

[0120] in, The heat release rate of flowing fire caused by wind speed and oil and gas platform sway; The combustion efficiency factor for leaked oil that experiences flow fire under the influence of wind speed and oil and gas platform sway; The calorific value of the leaked oil that caused a flow fire due to wind speed and the shaking of the oil and gas platform; The linear combustion rate of flowing fire occurring under the influence of wind speed and oil and gas platform sway when the combustion area remains stable; The radius of the leaking oil film is determined by the influence of wind speed and platform sway.

[0121] When determining the dynamic height of a flowing fire using a flame dynamic height model based on the heat release rate and the radius of the leaking oil film, the flame dynamic height model can be expressed as:

[0122]

[0123] in, The dynamic height of the flames in a flowing fire caused by wind speed and the swaying of the oil and gas platform; The radius of the leaking oil film under the influence of wind speed and platform sway; Real-time wind speed during the swaying of a deep-water dry oil and gas platform; This is a reference wind speed for when an oil leak causes a flow fire due to wind speed and platform sway; it is a constant value, for example... .

[0124] Based on the linear combustion rate and the radius of the leaking oil film, the heat release rate of the flowing fire is determined using a dynamic heat release rate model. This dynamic model systematically quantifies the intrinsic correlation between the linear combustion rate, the radius of the leaking oil film, and the heat release rate, ensuring the scientific rigor of the risk assessment. Using the heat release rate as a foundation, combined with the radius of the leaking oil film, a dynamic flame height model is used to further determine the dynamic flame height. This model clearly reflects the coupling relationship between the heat release rate, the radius of the leaking oil film, and the dynamic flame height, while also taking into account the indirect influence of environmental factors such as wind speed and platform sway, ensuring that the definition of the vertical spatial range of the flame more closely reflects actual working conditions.

[0125] Optionally, S204, conducting an oil spill and flow fire risk assessment for a deep-water dry oil and gas platform based on the heat release rate and flame dynamic height, may further include: determining the dynamic thermal radiation intensity of the flow fire based on the heat release rate and flame dynamic height; and obtaining the risk level for the oil spill and flow fire risk assessment of the deep-water dry oil and gas platform based on the intensity range of the dynamic thermal radiation intensity.

[0126] The dynamic thermal radiation intensity of a flowing fire refers to the total amount of heat energy transferred per unit area per unit time during the combustion process of a flowing fire, and this value fluctuates in real time with time, environmental conditions, and fire status. Fluctuations in environmental conditions include the effects of wind speed and platform sway, while fire status includes heat release rate and flame dynamic height, but is not limited to heat release rate and flame dynamic height.

[0127] The dynamic thermal radiation intensity of a flowing fire directly corresponds to the critical threshold for personnel injury and equipment ignition, and is a key basis for classifying risk levels. That is, the risk level for assessing the risk of flowing fire from an oil spill on a deep-water dry oil and gas platform is obtained based on the range of dynamic thermal radiation intensity. For example, the risk levels are divided into three levels: Level 1, Level 2, and Level 3. Level 1 indicates a low risk of flowing fire from an oil spill; that is, when the dynamic thermal radiation intensity of the flowing fire does not exceed 4 kW / m², the risk level is defined as Level 1. When the dynamic thermal radiation intensity of the flowing fire exceeds 4 kW / m² but does not exceed 12.5 kW / m², the risk level is defined as Level 2. When the dynamic thermal radiation intensity of the flowing fire exceeds 12.5 kW / m², the risk level is defined as Level 3.

[0128] Specifically, when the risk level is Level 1, personnel exposure may not cause significant harm in a short period of time, and the impact on equipment is relatively small; when the risk level is Level 2, personnel exposure may cause minor injuries in a short period of time, and equipment may be damaged; when the risk level is Level 3, personnel exposure may cause serious injuries in a short period of time, and equipment may be damaged.

[0129] In practical applications, different warning signals can be used for different risk levels. For example, for a level 1 risk, an audible and visual alarm is triggered, and maintenance instructions are pushed to the mobile terminal; for a level 2 risk, the local ventilation system is activated, valves in the leak area are closed, and foam inhibitors are pre-sprayed; for a level 3 risk, a platform-wide evacuation alarm is triggered, foam fire suppression is activated throughout the area, and rescue vessels are notified simultaneously.

[0130] As one possible approach, determining the dynamic thermal radiation intensity of a flowing fire based on the heat release rate and the dynamic height of the flame can include: determining the dynamic thermal radiation intensity of the flowing fire using a dynamic thermal radiation model based on the heat release rate and the dynamic height of the flame, whereby the dynamic thermal radiation model reflects the correlation between the heat release rate, the dynamic height of the flame, and the dynamic thermal radiation intensity.

[0131] Based on the heat release rate and dynamic flame height of the flowing fire, the dynamic thermal radiation intensity of the flowing fire is determined using a dynamic thermal radiation model. Determining the dynamic thermal radiation intensity of the flowing fire allows for precise quantification of thermal radiation distribution characteristics, providing a risk assessment basis for the risk assessment of flowing fires in oil spills on deep-water dry oil and gas platforms. In addition to the heat release rate and dynamic flame height, the determination of the dynamic thermal radiation intensity is also related to the maximum extension distance of the flame along the oil film propagation direction and the flame width perpendicular to the maximum extension distance. The maximum extension distance along the oil film propagation direction and the flame width perpendicular to the maximum extension distance direction can be measured using distributed fiber optic sensors.

[0132] By substituting the heat release rate, flame dynamic height, maximum flame extension distance along the oil film propagation direction, and flame extension width perpendicular to the maximum extension distance direction into the constructed dynamic thermal radiation model, the dynamic thermal radiation intensity of the flowing fire can be calculated.

[0133] For example, the dynamic model of thermal radiation can be represented as:

[0134]

[0135] in, The dynamic thermal radiation intensity of flowing fire; The surface emission power of the flame when a flowing fire occurs under the influence of wind speed and the shaking of the oil and gas platform; air transmittance The radiative emission surface of the flame when an oil spill occurs due to wind speed and the shaking of the oil and gas platform. Radiation receiving surface of the target object Viewpoint coefficient; The soot coverage of the flame surface during an oil spill and subsequent flow fire, under the influence of wind speed and oil and gas platform sway, is taken as 80%. The radiation fraction of the flame heat radiation when an oil leak occurs and flows into a fire due to the influence of wind speed and the shaking of the oil and gas platform; The heat release rate of flowing fire caused by wind speed and oil and gas platform sway; The dynamic height of the flames in a flowing fire caused by wind speed and the swaying of the oil and gas platform; The maximum distance the flame extends along the direction of oil film propagation when an oil leak causes a flowing fire due to wind speed and the shaking of the oil and gas platform. This refers to the width of the flame extending perpendicular to the maximum extension distance when an oil leak occurs due to wind speed and the shaking of the oil and gas platform. It should be noted that the maximum extension distance of the oil film is the distance from the leak point to the furthest point of the oil film spread.

[0136] Radiation emitting surface and radiation receiving surface The line connecting the radiation emission surface The angle between the normals; Radiation emitting surface and radiation receiving surface The connection between the radiation receiving surface and the radiation receiving surface The angle between the normals; Radiation emitting surface and radiation receiving surface The straight-line distance; The radiant power of smoke particles during an oil spill and subsequent flow fire, influenced by wind speed and the swaying of the oil and gas platform, is taken as a constant, for example... ; The influencing factor of flame thermal radiation; The wave excitation frequency during the swaying of the oil and gas platform; This represents the real-time wind speed when the oil and gas platform is shaking.

[0137] Dynamic thermal radiation intensity, as a key indicator for quantifying the real-time hazard of fires, needs to be determined based on heat release rate and flame dynamic height. Specifically, a dynamic thermal radiation model can be used to integrate heat release rate and flame dynamic height to scientifically extrapolate dynamic thermal radiation intensity. This dynamic thermal radiation model can systematically and accurately reflect the inherent correlation between heat release rate, flame dynamic height, and dynamic thermal radiation intensity, while effectively offsetting the interference of environmental factors such as sea breeze and platform sway on thermal radiation propagation. Determining dynamic thermal radiation intensity can provide reliable support for risk assessment of oil spill and flow fires on deep-water dry oil and gas platforms.

[0138] Based on the above embodiments, the method for assessing the risk of oil spillage and flowing fire on a deep-water dry oil and gas platform provided in this application may further include: determining the dynamic spread rate of the flowing fire based on wind speed and platform sway parameters; and determining the position of the combustion front of the flowing fire based on the dynamic spread rate of the fire.

[0139] After determining the dynamic flame spread rate of the flowing fire based on wind speed and platform sway parameters, the position of the combustion front of the flowing fire is determined based on the dynamic flame spread rate. The position of the combustion front of the flowing fire can be determined using the following formula:

[0140]

[0141] in, express The location of the combustion front of the oil spill that caused the flowing fire under the influence of wind speed and platform shaking; for The location of the combustion front at the site of an oil spill, influenced by constant wind speed and platform sway. The initial location of the combustion front can be measured using optical measurement equipment, such as visible light cameras, infrared thermal imagers, or infrared-ultraviolet composite flame detectors.

[0142] In other words, by obtaining the position of the combustion front of the flowing fire at the previous moment, the position of the combustion front of the flowing fire at the next moment can be determined based on the dynamic spread rate of the flame.

[0143] By combining the dynamic spread rate of the flame, the position of the combustion front, and the dynamic height of the flame, the entire flame development of the flowing fire can be observed intuitively and effectively, accurately simulating the spread and combustion process of the flowing fire on the deck of a deep-water dry oil and gas platform.

[0144] Optionally, determining the dynamic spread rate of the flowing fire based on wind speed and platform sway parameters may include: determining the dynamic spread rate of the flowing fire using a dynamic spread rate model based on wind speed and platform sway parameters, wherein the dynamic spread rate model reflects the dynamic spread rate of the flowing fire caused by oil leakage under wind speed and platform sway.

[0145] By substituting wind speed, platform sway parameters, and leaked oil film thickness into the constructed flame dynamic spread rate model, the flame dynamic spread rate of the flowing fire was calculated.

[0146] Based on the influence of wind speed and platform tilt angle and leaked oil film thickness on the oil and gas platform, the dynamic spread rate of the flowing fire is determined using a flame dynamic spread rate model.

[0147] For example, the dynamic flame spread rate model can be expressed as:

[0148]

[0149] in, The dynamic spread rate of flowing fire; Real-time wind speed during the swaying of a deep-water dry oil and gas platform; The thickness of the leaked oil film under the influence of wind speed and oil and gas platform sway; This refers to the platform tilt angle of a deep-water dry oil and gas platform.

[0150] Among them, wind speed mainly accelerates flame propagation through the convective heat transfer effect applied to the inclined surface of the flame and the wind force that pushes the premixed zone of combustible vapor; while the platform sway parameters directly affect the distribution thickness and flow inertia of the unburned oil film by changing the tilt angle and motion acceleration of the deck reference plane, thus determining the ease and direction of the flame following the spread of the oil.

[0151] Based on the above embodiments, the oil leakage and flow fire risk assessment method for deep-water dry oil and gas platforms provided in this application may further include: real-time monitoring of the leakage oil film thickness of the deep-water dry oil and gas platform using a distributed fiber optic sensor array, wherein the distributed fiber optic sensor array is laid along the deep-water dry oil and gas platform; and / or, real-time detection and location of the external flame of the deep-water dry oil and gas platform using an infrared-ultraviolet composite flame detector, wherein the infrared-ultraviolet composite flame detector is deployed on the deep-water dry oil and gas platform.

[0152] Optionally, by integrating distributed fiber optic sensors and infrared-ultraviolet flame detectors, the thickness of the leaking oil film, temperature field, and the location of the ignition source of the flowing fire can be monitored in real time, achieving full-process risk visualization monitoring from the initial stage of leakage to the spread of fire. In other words, a distributed fiber optic sensor array is laid along the structure of the deep-water dry oil and gas platform to monitor the temperature field and the thickness of the leaking oil film around the platform in real time; simultaneously, an infrared-ultraviolet composite flame detector is deployed to detect and locate the external flames of the deep-water dry oil and gas platform in real time.

[0153] Among them, by detecting the flames in the field in real time, the location of the ignition source of the flowing fire can be determined. At the same time, combined with the monitored temperature field, it can be used to determine whether there is an oil leak and flowing fire on the deep-water dry oil and gas platform. By monitoring the thickness of the leaking oil film in real time, the radius of the leaking oil film can be further determined.

[0154] In one implementation, a distributed fiber optic sensor array is deployed along the tank area, pipelines, and deck surface of a deep-water dry oil and gas platform using a spiral winding and serpentine laying method. Specifically, the distributed fiber optic sensor array is deployed along the outer wall of the tank with a spiral rise of 15-20cm pitch, covering the entire surface of the tank, thus covering high-risk leakage areas such as valve interfaces and welds. For example, the array is laid axially or spirally on the outer wall of the pipeline; and deployed in straight lines or a grid pattern on the surface of critical deck areas. The sensors are fixed with waterproof adhesive to ensure long-term stability in the high-salt, high-humidity marine environment. The spatial resolution of the sensors is ≤1m, enabling precise location of leaks; the oil film thickness detection limit is ≤0.1mm, allowing real-time monitoring of oil film diffusion dynamics; the temperature measurement range is -50℃ to 300℃; the sampling frequency is ≥10Hz; and the data is transmitted to the central processing unit in real time via fiber Bragg grating technology.

[0155] In another implementation, an infrared-ultraviolet composite flame detector is deployed every 50 meters on the deck, top of compartments, and around the tank area of ​​the deep-water dry oil and gas platform, forming a full-coverage monitoring network. This overcomes environmental interference, quickly identifies abnormal flame signals, and, based on multispectral information fusion technology, rapidly detects flames and accurately locates the specific spatial coordinates of the fire source on the platform's main structure, achieving fire source localization and providing precise targets for emergency response. The detectors feature an explosion-proof design, adapting to flammable and explosive environments; an ultraviolet band response wavelength of 185-260nm and an infrared band response wavelength of 4.3-4.4μm; the fire confidence calculation weights are optimized through training with historical data, resulting in a false alarm rate of <0.1 times / year; and combined with image recognition algorithms, the fire source coordinates are accurately located with a positioning error ≤0.5m.

[0156] In addition, the distributed fiber optic sensor can also measure the maximum extension distance of the flame along the direction of oil film spread and the width of the flame perpendicular to the direction of the maximum extension distance.

[0157] Optionally, decision-making can be aided by artificial intelligence to automatically determine the risk level and generate a fire extinguishing path: tank area → valve → foam injection point. Through command scheduling, the foam injection point can be used to spray foam inhibitors for fire extinguishing.

[0158] In summary, the method for assessing the risk of oil spillage and fire on deep-water dry oil and gas platforms provided in this application has at least the following advantages:

[0159] First, in the event of a flowing fire caused by an oil leak detected on a deep-water dry oil and gas platform, the linear combustion rate of the flowing fire is determined by acquiring the wind speed, platform sway parameters, and leak oil film radius of the environment surrounding the platform. This linear combustion rate, combined with the leak oil film radius, is used to determine the heat release rate and dynamic flame height of the flowing fire, serving as the basis for risk assessment of the flowing fire from the oil leak on the deep-water dry oil and gas platform. The location of the fire front is then determined based on the dynamic flame spread rate. Finally, by combining the dynamic flame spread rate, fire front location, and dynamic flame height, the spread, diffusion, and combustion process of the flowing fire on the deck of the deep-water dry oil and gas platform are accurately simulated.

[0160] Second, based on data such as the heat release rate and dynamic flame height of the flowing fire, the dynamic thermal radiation intensity of the flowing fire is determined, and the risk level for oil spill flowing fire risk assessment of deep-water dry oil and gas platforms is obtained according to the intensity range of the dynamic thermal radiation intensity. By integrating and coupling multiple physical fields of leakage, combustion, and thermal radiation, the spread and combustion process of flowing fire on the deck of the oil and gas platform is accurately simulated. Leakage characteristics such as the radius of the leaking oil film, real-time leakage rate, and thickness of the leaking oil film under the influence of wind speed and platform sway are precisely quantified, as well as the fire spread law such as the heat release rate and dynamic flame height of the flowing fire, and the thermal radiation distribution characteristics such as the dynamic thermal radiation intensity of the flowing fire. These are used to accurately simulate the spread and combustion process of flowing fire on the deck, realizing dynamic risk assessment of the entire process from leakage to fire.

[0161] Furthermore, by combining a distributed fiber optic sensor array and an infrared-ultraviolet composite flame detector, the system can monitor the thickness of leaking oil film, temperature field, and real-time flame location of deep-water dry oil and gas platforms in real time. This enables visualized monitoring of the entire process from the initial stage of an oil leak to the spread of a fire, enhancing risk warning and emergency response capabilities. Through high-precision risk quantification and real-time situational awareness, the system improves the accuracy of oil leak and flow fire risk assessment for deep-water dry oil and gas platforms, enhances the platform's resilience and safety warning capabilities, optimizes fire protection design, provides guidance for emergency response, and offers reliable risk control technology support for deep-water oil and gas development. Ultimately, this ensures the safety of deep-water dry oil and gas platforms and the safety of deep-sea oil and gas extraction.

[0162] Figure 3 This is a schematic diagram of a deep-water dry oil and gas platform oil spill flow fire risk assessment device provided in an embodiment of this application. Figure 3 As shown in the embodiment of this application, the deep-water dry oil and gas platform oil leakage flow fire risk assessment device 30 includes:

[0163] The acquisition module 301 is used to acquire the wind speed of the environment where the deep-water dry oil and gas platform is located, the platform sway parameters of the deep-water dry oil and gas platform, and the radius of the leaking oil film when a flowing fire is detected due to an oil leak on the deep-water dry oil and gas platform.

[0164] Processing module 302 is used to determine the linear combustion rate of the flowing fire when the combustion area remains stable, based on wind speed, platform sway parameters, and the radius of the leaked oil film, using a constructed combustion rate model. The combustion rate model reflects the correlation between the radius of the leaked oil film and the linear combustion rate of the flowing fire when the combustion area remains stable under the influence of wind speed and platform sway. Based on the linear combustion rate and the radius of the leaked oil film, it determines the heat release rate and flame dynamic height of the flowing fire. Furthermore, based on the heat release rate and flame dynamic height, it conducts a risk assessment of flowing fire from oil leaks on deep-water dry oil and gas platforms.

[0165] In one possible implementation, the acquisition module 301 is specifically used for:

[0166] Determine the platform tilt angle of the deep-water dry oil and gas platform based on the platform sway parameters;

[0167] Based on the platform tilt angle, determine the comprehensive correction factor for oil leakage under the influence of wind speed and platform sway;

[0168] Based on the oil leakage parameters and comprehensive correction factor under the influence of wind speed and platform sway, the real-time leakage rate of oil leakage under the influence of wind speed and platform sway is determined by the leakage rate dynamic model. The leakage rate dynamic model reflects the correlation between the oil leakage parameters, comprehensive correction factor and leakage rate under the influence of wind speed and platform sway.

[0169] Based on the real-time leakage rate and leakage oil film thickness, the leakage oil film radius under the influence of wind speed and platform sway is determined through an oil film specification model. The oil film specification model reflects the correlation between leakage rate, leakage oil film thickness and leakage oil film radius.

[0170] In one possible implementation, the thickness of the leaking oil film is obtained in the following way:

[0171] Based on the platform tilt angle and real-time leakage rate, the leakage oil film thickness under the influence of wind speed and platform sway is determined by the dynamic model of oil film thickness. The dynamic model of oil film thickness reflects the correlation between platform tilt angle, leakage rate and leakage oil film thickness.

[0172] In one possible implementation, the processing module 302 is further configured to:

[0173] Based on the linear combustion rate and the radius of the leaking oil film, the heat release rate of the flowing fire is determined by a dynamic heat release rate model. The dynamic heat release rate model reflects the correlation between the linear combustion rate, the radius of the leaking oil film, and the heat release rate.

[0174] Based on the heat release rate and the radius of the leaking oil film, the dynamic height of the flowing fire is determined by the flame dynamic height model. The flame dynamic height model reflects the correlation between the heat release rate, the radius of the leaking oil film, and the flame dynamic height.

[0175] In one possible implementation, the processing module 302 is further configured to:

[0176] The dynamic thermal radiation intensity of the flowing fire is determined based on the heat release rate and the dynamic height of the flame.

[0177] Based on the intensity range of dynamic thermal radiation, the risk level for oil spill and fire risk assessment of deep-water dry oil and gas platforms is obtained.

[0178] In one possible implementation, the processing module 302 is further configured to:

[0179] Based on the heat release rate and flame dynamic height, the dynamic thermal radiation intensity of the flowing fire is determined through a dynamic thermal radiation model. The dynamic thermal radiation model reflects the correlation between the heat release rate, flame dynamic height, and dynamic thermal radiation intensity.

[0180] In one possible implementation, the processing module 302 is further configured to:

[0181] The dynamic spread rate of the flowing fire was determined based on wind speed and platform sway parameters.

[0182] The location of the combustion front of the flowing fire is determined based on the dynamic spread rate of the flame.

[0183] In one possible implementation, when the processing module 302 is used to determine the dynamic spread rate of the flowing fire based on the wind speed and platform sway parameters, it is specifically used to: determine the dynamic spread rate of the flowing fire based on the wind speed and platform sway parameters through a dynamic spread rate model, wherein the dynamic spread rate model reflects the dynamic spread rate of the flowing fire caused by oil leakage under wind speed and platform sway.

[0184] In one possible implementation, the acquisition module 301 is also used for:

[0185] The thickness of leaking oil film on a deep-water dry oil and gas platform is monitored in real time using a distributed fiber optic sensor array, which is laid along the deep-water dry oil and gas platform.

[0186] And / or, real-time detection and positioning of field flames on deep-water dry oil and gas platforms are achieved through infrared-ultraviolet composite flame detectors, which are deployed on deep-water dry oil and gas platforms.

[0187] The deep-water dry oil and gas platform oil leakage flow fire risk assessment device provided in this application embodiment can perform the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0188] Figure 4 This is a schematic diagram of the structure of a computing device provided in an embodiment of this application. Figure 4 As shown, the computing device 40 provided in this embodiment includes at least one processor 401 and a memory 402. Optionally, the computing device 40 further includes a communication component 403. The processor 401, memory 402, and communication component 403 are also included.

[0189] In a specific implementation, at least one processor 401 executes computer execution instructions stored in memory 402, causing at least one processor 401 to perform the above-described method.

[0190] The specific implementation process of processor 401 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0191] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0192] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0193] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0194] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0195] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0196] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0197] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an application-specific integrated circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0198] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0199] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0200] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0201] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0202] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0203] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for assessing the risk of oil spillage and fire on a deep-water dry oil and gas platform, characterized in that, include: In the event of an oil leak and subsequent flow fire detected on a deep-water dry oil and gas platform, the wind speed in the environment where the deep-water dry oil and gas platform is located, the platform sway parameters of the deep-water dry oil and gas platform, and the radius of the leaking oil film are obtained. Based on the wind speed, the platform sway parameters, and the radius of the leaking oil film, the linear combustion rate of the flowing fire when the combustion area remains stable is determined using a constructed combustion rate model. The combustion rate model is determined in the following manner: in, Indicates the current moment of the oil spill, flow, and fire; The linear combustion rate; This represents the maximum linear combustion rate; This is the absorption and attenuation coefficient of the oil surface to thermal radiation; This is the average radiation path correction factor; The radius of the leaking oil film; The heat release rate and flame dynamic height of the flowing fire are determined based on the linear combustion rate and the radius of the leaking oil film. Based on the heat release rate and the dynamic height of the flame, the dynamic thermal radiation intensity of the flowing fire is determined using a dynamic thermal radiation model, which is determined by the following formula: in, The dynamic thermal radiation intensity; The surface emission power of the flame; air transmittance Radiation emitting surface on the flame Radiation receiving surface of the target object Viewpoint coefficient; The soot coverage on the flame surface; This represents the number of radiation components of the flame's thermal radiation; The heat release rate; The dynamic height of the flame; This represents the maximum distance the flame extends along the direction of oil film propagation. The width of the flame extending perpendicular to the direction of its maximum extension distance; Radiation emitting surface and radiation receiving surface The line connecting the radiation emission surface The angle between the normals; Radiation emitting surface and radiation receiving surface The connection between the radiation receiving surface and the radiation receiving surface The angle between the normals; Radiation emitting surface and radiation receiving surface The straight-line distance; The radiation power of smoke particles; The influencing factor of flame thermal radiation; The frequency of wave excitation; The real-time wind speed during the shaking of the deep-water dry oil and gas platform; Based on the dynamic thermal radiation intensity, an oil spill and fire risk assessment is conducted on the deep-water dry oil and gas platform.

2. The method for assessing the risk of oil spillage and fire on a deep-water dry oil and gas platform according to claim 1, characterized in that, To obtain the radius of the leaking oil film on a deep-water dry oil and gas platform, including: The platform tilt angle of the deep-water dry oil and gas platform is determined based on the platform sway parameters. Based on the platform tilt angle, a comprehensive correction factor for oil leakage under the influence of wind speed and platform sway is determined; Based on the oil leakage parameters under the influence of wind speed and platform sway, and the aforementioned comprehensive correction factor, the real-time leakage rate of oil under the influence of wind speed and platform sway is determined through a dynamic leakage rate model. The dynamic leakage rate model is determined by the following formula: in, The real-time leakage rate; This is the oil leakage coefficient; The area of ​​the oil leak opening; For oil storage pressure; The environmental pressure at which the deep-water dry oil and gas platform is located; The density of the oil in the deep-water dry oil and gas platform; It is the acceleration due to gravity; The liquid level at the leak point; Based on the real-time leakage rate and leakage oil film thickness, the radius of the leakage oil film under the influence of wind speed and platform sway is determined using an oil film specification model. The oil film specification model is determined by the following formula: in, The radius of the leaking oil film; The thickness of the leaked oil film.

3. The method for assessing the risk of oil spillage and fire on a deep-water dry oil and gas platform according to claim 2, characterized in that, The thickness of the leaking oil film was obtained in the following manner: Based on the platform tilt angle and the real-time leakage rate, the leakage oil film thickness under the influence of wind speed and platform sway is determined using a dynamic oil film thickness model. The dynamic oil film thickness model is determined in the following way: in, The thickness of the leaked oil film; The real-time wind speed during the shaking of the deep-water dry oil and gas platform; The real-time leakage rate; The platform tilt angle; The density of the oil; This is the acceleration due to gravity.

4. The method for assessing the risk of oil spillage and fire on a deep-water dry oil and gas platform according to any one of claims 1 to 3, characterized in that, The determination of the heat release rate and flame dynamic height of the flowing fire based on the linear combustion rate and the radius of the leaking oil film includes: Based on the linear combustion rate and the radius of the leaking oil film, the heat release rate of the flowing fire is determined using a dynamic heat release rate model, which is determined in the following manner: in, The heat release rate; The combustion efficiency factor for the leaked oil; The calorific value of the leaked oil; The linear combustion rate; The radius of the leaking oil film; Based on the heat release rate and the radius of the leaking oil film, the dynamic height of the flowing fire is determined using a flame dynamic height model, which is determined in the following manner: in, The dynamic height of the flame; The radius of the leaking oil film; The real-time wind speed; This is the reference wind speed for when an oil spill causes a flow fire.

5. The method for assessing the risk of oil spillage and fire on a deep-water dry oil and gas platform according to any one of claims 1 to 3, characterized in that, Also includes: The dynamic spread rate of the flowing fire is determined based on the wind speed and the platform sway parameters. The position of the combustion front of the flowing fire is determined based on the dynamic spread rate of the flame.

6. The method for assessing the risk of oil spillage and fire on a deep-water dry oil and gas platform according to claim 5, characterized in that, Determining the dynamic flame spread rate of the flowing fire based on the wind speed and the platform sway parameters includes: Based on the wind speed and platform sway parameters, the dynamic spread rate of the flowing fire is determined using a flame dynamic spread rate model, which is determined in the following manner: in, The dynamic spread rate of the flame; Real-time wind speed during the swaying of a deep-water dry oil and gas platform; The thickness of the leaked oil film; This refers to the platform tilt angle of a deep-water dry oil and gas platform.

7. The method for assessing the risk of oil spillage and fire on a deep-water dry oil and gas platform according to any one of claims 1 to 3, characterized in that, Also includes: The thickness of the leaking oil film on the deep-water dry oil and gas platform is monitored in real time using a distributed fiber optic sensor array, which is laid along the deep-water dry oil and gas platform. And / or, the infrared-ultraviolet composite flame detector is used to detect and locate the flames in the field of the deep-water dry oil and gas platform in real time, and the infrared-ultraviolet composite flame detector is deployed on the deep-water dry oil and gas platform.

8. A computing device, characterized in that, include: Memory, processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1 to 7.

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