Evaluation method and system for explosion gas cloud volume of open-type offshore natural gas platform, processing equipment and storage medium

Abstract

The invention relates to an open type offshore natural gas platform explosion gas cloud volume evaluation method and system, processing equipment and a storage medium. The method comprises the steps that input parameters of a to-be-evaluated leakage point of an offshore natural gas platform are acquired; inputting the input parameters of the to-be-evaluated leakage point into the trained explosion gas cloud volume evaluation model to obtain gas cloud volumes corresponding to the simulation working conditions, and completing the evaluation of the explosion gas cloud volume formed by the leakage of the offshore natural gas platform, the explosion gas cloud volume evaluation model adopts a BP neural network model, and the BP neural network model is used for the evaluation of the explosion gas cloud volume formed by the leakage of the offshore natural gas platform. The problem of complex structure shielding of the offshore platform can be considered, the calculation accuracy is high, the construction and operation cost of the offshore platform can be reduced, and the method can be widely applied to the field of offshore oil safety production.

Description

Technical Field

[0001] The present invention relates to the field of offshore oil production safety, and in particular to an evaluation method, system, processing equipment and storage medium for the volume of an explosion gas cloud on an open offshore natural gas platform. Background Art

[0002] With the development of China's offshore oil industry, an increasing number of large, fully integrated offshore gas fields have been discovered. The development of these large-scale gas fields relies on offshore natural gas platforms. Offshore natural gas platforms process natural gas on a large scale and with complex processes. The risks of natural gas leaks, fires, and explosions pose a serious threat to the structural safety and personnel security of these platforms. To ensure safety, offshore natural gas platforms are equipped with fire and gas detection systems, emergency shutdown systems, emergency venting systems, fire protection systems, passive fire prevention measures, and barrier and explosion-proofing facilities. These systems, facilities, and measures form a protective layer, safeguarding offshore platforms from the hazards of serious fires and explosions.

[0003] The volume of explosive gas cloud formed by leakage is an important basic data for the design of fire and gas detection systems and barrier fire and explosion prevention facilities. The design of fire and gas detection systems and barrier fire and explosion prevention facilities is carried out in the basic design stage. The calculation of the volume of explosive gas cloud formed by leakage can generally be based on empirical formula methods such as Gaussian model, or based on CFD (computational fluid dynamics) simulation and other methods.

[0004] However, the above methods have certain shortcomings: 1) Empirical formula methods such as the Gaussian model cannot take into account the impact of physical obstructions. For offshore platforms with cramped space and severe obstructions, the calculation results are less accurate; 2) The calculation cycle of the method based on CFD simulation is long, which is difficult to match the progress requirements of engineering design optimization and adjustment; 3) The calculation results based on empirical formula methods such as the Gaussian model are relatively conservative. The strength of the barrier and explosion-proof facilities designed based on this method is often too conservative, resulting in an increase in the weight of the offshore platform and an increase in the construction and operation costs of the offshore platform. Summary of the Invention

[0005] In view of the above problems, the purpose of the present invention is to provide an evaluation method, system, processing equipment and storage medium for the explosion cloud volume of an open offshore natural gas platform with accurate calculation results and short calculation cycle.

[0006] To achieve the above objectives, the present invention adopts the following technical solutions: In a first aspect, a method for evaluating the volume of an explosion cloud on an open offshore natural gas platform is provided, comprising:

[0007] Obtain input parameters of the leak point to be assessed on the offshore natural gas platform, where the input parameters include the horizontal and vertical coordinates of the leak point location, the leak aperture of the leak point, the equipment operating pressure, the material inventory of all equipment in each leak unit under emergency shutdown conditions, the open area ratio of the open surface of the offshore natural gas platform and the ratio of unfilled space between decks, wind speed and direction, the angle between the leak direction and the north of the offshore natural gas platform, and the angle between the wind direction and the north of the offshore natural gas platform;

[0008] The input parameters of the leakage point to be evaluated are input into the trained explosion gas cloud volume evaluation model to obtain the gas cloud volume corresponding to each simulated working condition, and the evaluation of the explosion gas cloud volume formed by the leakage of the offshore natural gas platform is completed. Among them, the explosion gas cloud volume evaluation model adopts the BP neural network model.

[0009] Furthermore, the construction process of the explosion gas cloud volume assessment model is as follows:

[0010] On the process flow diagram of the oil and gas processing system of an offshore natural gas platform, the oil and gas processing system is divided into several leakage units;

[0011] Classify the leakage types of equipment in the oil and gas processing system of offshore natural gas platforms;

[0012] Determine the operating pressure and size of all equipment within each divided leakage unit;

[0013] Based on the classified leakage types and the determined operating pressure and size, calculate the material inventory of all equipment in each leakage unit under emergency shutdown conditions and the initial leakage rate of equipment with different leakage types;

[0014] Calculate the open area ratio and unfilled space ratio between decks of offshore gas platforms;

[0015] According to the material inventory of all equipment in each leakage unit under emergency shutdown conditions and the initial leakage rate of equipment with different leakage types, the simulation conditions are determined, and then the gas cloud volume corresponding to each simulation condition is determined;

[0016] An explosion gas cloud volume assessment model is established, and the established explosion gas cloud volume assessment model is trained according to the operating pressure of all equipment in each leakage unit, the material inventory of all equipment in each leakage unit under emergency shutdown conditions, the ratio of unfilled space between decks of offshore natural gas platforms to the total space between platforms, and the gas cloud volume corresponding to each simulated working condition, to obtain a trained explosion gas cloud volume assessment model.

[0017] Furthermore, in the process flow diagram of the oil and gas processing system of the offshore natural gas platform, the oil and gas processing system is divided into several leakage units, including:

[0018] Identify valves with shutoff functions in the process flow diagram of the oil and gas processing system on an offshore natural gas platform;

[0019] The entire oil and gas processing system is divided into several leakage units according to the positions of valves with shut-off functions.

[0020] Furthermore, the leakage types classified according to the leakage aperture include small leakage, medium leakage, large leakage and large leakage, among which the leakage aperture of small leakage is 0-5mm, the leakage aperture of medium leakage is 5-50mm, the leakage aperture of large leakage is 50-100mm, and the leakage aperture of large leakage is 150-full release.

[0021] Furthermore, the calculation of the material inventory of all equipment in each leakage unit and the initial leakage rate of equipment of different leakage types under emergency shutdown conditions based on the classified leakage types and the determined operating pressure and size includes:

[0022] Calculate the volume of all equipment in each leakage unit based on the determined sizes of all equipment in each leakage unit;

[0023] Calculate the material inventory of all equipment in each leakage unit based on the volume, operating liquid level and relevant parameters in the material balance table of all equipment in each leakage unit;

[0024] Based on the determined operating pressures of all devices in each leakage unit and the classified leakage types, the initial leakage rates of all devices in each leakage unit are calculated.

[0025] Furthermore, the calculation of the open area ratio of the open surface of the offshore natural gas platform and the ratio of the unfilled space between decks includes:

[0026] According to the elevation drawing of the offshore natural gas platform, calculate the proportion of the open surface area of ​​the offshore natural gas platform to the total area;

[0027] Based on the dimensions of all equipment within each leakage unit, combined with the piping and main structure dimensions of all equipment within each leakage unit, the proportion of the unfilled space between decks of an offshore natural gas platform to the total space between platforms is calculated.

[0028] Furthermore, the method of determining the simulated working conditions according to the material inventory of all equipment in each leakage unit under the emergency shutdown condition and the initial leakage rate of equipment of different leakage types, and then determining the gas cloud volume corresponding to each simulated working condition, includes:

[0029] Build a full-scale geometric model of an offshore gas platform;

[0030] Based on the calculated material inventory of all equipment in each leakage unit under emergency shutdown conditions and the initial leakage rate of equipment with different leakage types, several leakage points are selected;

[0031] Combine several selected leakage points with several environmental conditions to determine several simulated working conditions;

[0032] Based on the determined simulation conditions, a transient CFD simulation of natural gas leakage and diffusion is performed to obtain the time-varying curve of the gas cloud volume for each simulation condition, and the largest gas cloud volume is extracted.

[0033] In a second aspect, a system for assessing the volume of an explosion cloud on an open offshore natural gas platform is provided, comprising:

[0034] A parameter acquisition module is used to obtain input parameters of the leakage point to be assessed on the offshore natural gas platform, wherein the input parameters include the horizontal and vertical coordinates of the leakage point location, the leakage aperture of the leakage point, the equipment operating pressure, the material inventory of all equipment in each leakage unit under emergency shutdown conditions, the open area ratio of the open surface of the offshore natural gas platform and the ratio of the unfilled space between decks, the wind speed and direction, the angle between the leakage direction and the north of the offshore natural gas platform, and the angle between the wind direction and the north of the offshore natural gas platform;

[0035] The gas cloud volume assessment module is used to input the input parameters of the leakage point to be assessed into the trained explosion gas cloud volume assessment model, obtain the gas cloud volume corresponding to each simulated working condition, and complete the assessment of the explosion gas cloud volume formed by the leakage of the offshore natural gas platform, wherein the explosion gas cloud volume assessment model adopts the BP neural network model.

[0036] In a third aspect, a processing device is provided, comprising computer program instructions, wherein the computer program instructions, when executed by the processing device, are used to implement the steps corresponding to the above-mentioned method for evaluating the volume of explosion gas cloud of an open offshore natural gas platform.

[0037] In a fourth aspect, a computer-readable storage medium is provided, on which computer program instructions are stored, wherein the computer program instructions, when executed by a processor, are used to implement the steps corresponding to the above-mentioned method for evaluating the volume of explosion gas clouds on open offshore natural gas platforms.

[0038] The present invention has the following advantages due to the adoption of the above technical solution:

[0039] 1. The present invention can take into account the problem of complex structural obstruction of offshore platforms, has high calculation accuracy, and the calculated explosion-proof pressure is often lower than empirical formulas such as the Gaussian model, which can reduce the construction and operation costs of offshore platforms.

[0040] 2. The calculation period of the present invention is short, which matches the engineering design period.

[0041] In summary, the present invention can be widely used in the field of offshore oil production safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. Throughout the drawings, the same reference numerals are used to denote the same components. In the drawings:

[0043] Figure 1 This is a flow chart of a method provided by one embodiment of the present invention;

[0044] FIG2(a), FIG2(b) and FIG2(c) are schematic diagrams showing calculation of the ratio of the open area of ​​an offshore natural gas platform at three different viewing angles according to an embodiment of the present invention;

[0045] Figure 3 This is a schematic diagram of calculating the ratio of unfilled space between decks on an offshore natural gas platform provided by one embodiment of the present invention;

[0046] Figure 4 This is a schematic diagram of a BP neural network model provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0048] It should be understood that the terms used herein are for the purpose of describing specific example embodiments only and are not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms "one", "an" and "said" as used herein may also be meant to include plural forms. The terms "comprise", "include", "contain" and "have" are inclusive and therefore specify the presence of stated features, steps, operations, elements and / or parts, but do not exclude the presence or addition of one or more other features, steps, operations, elements, parts, and / or combinations thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring them to be performed in the specific order described or illustrated, unless the order of execution is clearly indicated. It should also be understood that additional or alternative steps may be used.

[0049] Although the terms first, second, third, etc. can be used in the text to describe multiple elements, components, regions, layers and / or sections, these elements, components, regions, layers and / or sections should not be limited by these terms. These terms can only be used to distinguish an element, component, region, layer or section from another region, layer or section. Unless the context clearly indicates otherwise, terms such as "first", "second" and other numerical terms do not imply order or sequence when used in the text. Therefore, the first element, component, region, layer or section discussed below can be referred to as the second element, component, region, layer or section without departing from the teaching of the example embodiments.

[0050] At present, the existing technology has certain shortcomings: 1) Empirical formula methods such as the Gaussian model cannot take into account the impact of physical obstructions. For offshore platforms with cramped space and severe obstructions, the calculation results are less accurate; 2) The calculation cycle of methods based on CFD simulation is long, which is difficult to match the progress requirements of engineering design optimization and adjustment; 3) The calculation results based on empirical formula methods such as the Gaussian model are relatively conservative. The strength of the barrier and explosion-proof facilities designed based on this method is often too conservative, resulting in an increase in the weight of the offshore platform and an increase in the construction and operation costs of the offshore platform. An embodiment of the present invention provides a method for assessing the volume of an explosive gas cloud formed by an open offshore natural gas platform, comprising: obtaining input parameters of a leak point to be assessed on the offshore natural gas platform, wherein the input parameters include the horizontal and vertical coordinates of the leak point location, the leak aperture of the leak point, the equipment operating pressure, the material inventory of all equipment in each leak unit under emergency shutdown conditions, the open area ratio of the open surface of the offshore natural gas platform and the unfilled space ratio between decks, wind speed and direction, the angle between the leak direction and the north of the offshore natural gas platform, and the angle between the wind direction and the north of the offshore natural gas platform; inputting the input parameters of the leak point to be assessed into a trained explosive gas cloud volume assessment model to obtain the gas cloud volume corresponding to each simulated working condition, thereby completing the assessment of the explosive gas cloud volume formed by the leak on the offshore natural gas platform, wherein the explosive gas cloud volume assessment model adopts a BP neural network model. The present invention can be used to quickly assess the volume of explosive gas clouds formed by leaks on open offshore natural gas platforms, providing a basis for risk analysis of offshore natural gas platforms during the design phase; and during the production phase of offshore natural gas platforms, it can quickly assess the gas cloud volume formed under leakage conditions, providing a decision basis for early warning and emergency response when accidents occur and develop.

[0051] Example 1

[0052] like Figure 1 As shown, this embodiment provides a method for evaluating the volume of an explosion cloud on an open offshore natural gas platform, comprising the following steps:

[0053] 1) Construct and train an explosion cloud volume assessment model to obtain a trained explosion cloud volume assessment model, specifically:

[0054] 1.1) In the process flow diagram of the oil and gas processing system of an offshore natural gas platform, the oil and gas processing system is divided into several leakage units, specifically:

[0055] 1.1.1) Identify valves with shutoff functions in the process flow diagram (PFD) of the oil and gas processing system of an offshore natural gas platform.

[0056] 1.1.2) Divide the entire oil and gas processing system into several leakage units based on the location of valves with shut-off functions.

[0057] Specifically, the leakage unit is characterized in that after being shut down, hydrocarbon substances will not enter other leakage units from one leakage unit.

[0058] More specifically, the leaking units are marked in the process flow diagram using markers of different colors.

[0059] 1.2) Classify the leakage types of equipment in the oil and gas processing system of offshore natural gas platforms.

[0060] Specifically, the leakage of equipment in the oil and gas processing system of an offshore natural gas platform is divided into different types according to the leakage aperture or initial leakage rate.

[0061] More specifically, the leakage types classified according to the leakage aperture include small leakage, medium leakage, large leakage and large leakage, wherein the leakage aperture of small leakage is 0-5mm, the leakage aperture of medium leakage is 5-50mm, the leakage aperture of large leakage is 50-100mm, and the leakage aperture of large leakage is 150-full release, as shown in Table 1 below:

[0062] Table 1: Classification of four leakage types based on leakage aperture

[0063] Leakage diameter Aperture lower limit (mm) Upper limit of aperture (mm) Small leaks 0 5 Medium leak 5 50 Large leak 50 150 Large rupture 150 Complete release

[0064] 1.3) Determine the operating pressure and size of all equipment within each identified leakage unit.

[0065] Specifically, the operating pressure and size of all equipment in each leakage unit are determined based on the Pipe and Instrument Diagram (P&ID), mechanical equipment table, and material balance sheet of the oil and gas processing system of the offshore natural gas platform.

[0066] More specifically, the equipment to be counted includes compressors, pumps, pressure vessels, filters, heat exchangers, transmitter and receiver cylinders, valves, flanges, process pipelines, and instrument connection points.

[0067] 1.4) Based on the classified leakage types and the determined operating pressure and size, calculate the material inventory of all equipment in each leakage unit under emergency shutdown conditions and the initial leakage rate of equipment with different leakage types.

[0068] Specifically, under emergency shutdown conditions, the material inventory in the equipment within the leakage unit is related to the equipment volume, operating liquid level, etc. Therefore, the specific process of this step is:

[0069] 1.4.1) Calculate the volume of all equipment within each leakage unit based on the determined dimensions of all equipment within each leakage unit.

[0070] 1.4.2) Calculate the material inventory of all equipment within each leakage unit based on the volume, operating liquid level, and relevant parameters in the material balance sheet (flow, temperature, pressure, material composition, etc.).

[0071] 1.4.3) Using a leak rate calculation model, calculate the initial leak rate for all devices within each leak unit based on the determined operating pressures and classified leak types. It should be noted that this leak rate calculation model is publicly available in the prior art, and the specific process is not detailed here.

[0072] 1.5) As shown in Figure 2 and Figure 3 As shown in the figure, the open area ratio of the open surface of the offshore natural gas platform and the ratio of the unfilled space between decks are calculated as follows:

[0073] 1.5.1) Based on the elevation drawing of the offshore natural gas platform, calculate the proportion of the open areas of the offshore natural gas platform (usually three) to the total area.

[0074] 1.5.2) Calculate the ratio of the unfilled space between decks of the offshore natural gas platform to the total space between decks based on the dimensions of all equipment within each leakage unit, combined with the piping and main structure dimensions of all equipment within each leakage unit.

[0075] 1.6) Based on the material inventory of all equipment in each leakage unit under emergency shutdown conditions and the initial leakage rate of equipment with different leakage types, determine the simulated working conditions and then determine the gas cloud volume corresponding to each simulated working condition, specifically:

[0076] 1.6.1) Build a full-scale geometric model of the offshore natural gas platform.

[0077] 1.6.2) Select several leak points based on the calculated material inventory of all equipment within each leak unit under emergency shutdown conditions and the initial leakage rates of equipment with different leakage types.

[0078] Specifically, no less than four leakage points are selected and evenly distributed in the entire process area of ​​the offshore natural gas platform, and the positions of the leakage points are represented by coordinates.

[0079] 1.6.3) Combine the selected leakage points with the environmental conditions to determine several simulated operating conditions.

[0080] Specifically, the environmental conditions include at least eight directions, and at least four wind speeds are selected in each direction.

[0081] 1.6.4) Based on the determined simulation conditions, perform transient CFD simulations of natural gas leakage and diffusion, obtain the time-varying curves of the gas cloud volume for each simulation condition, and extract the largest gas cloud volume.

[0082] Specifically, after performing transient CFD simulation of natural gas leakage and diffusion under the determined simulation conditions, the gas cloud volumes corresponding to a certain number of simulation conditions are obtained, which serve as training samples for the subsequent neural network model.

[0083] 1.7) Establish an explosion cloud volume assessment model. Based on the operating pressure of all equipment in each leakage unit, the material inventory of all equipment in each leakage unit under emergency shutdown conditions, the ratio of unfilled space between decks of offshore natural gas platforms to the total space between platforms, and the gas cloud volume corresponding to each simulated working condition, the established explosion cloud volume assessment model is trained to obtain a trained explosion cloud volume assessment model, specifically:

[0084] 1.7.1) Establish an explosion cloud volume assessment model.

[0085] Specifically, the explosion cloud volume assessment model of the embodiment of the present invention adopts a BP neural network model. The BP neural network model adopts one hidden layer, and the number of nodes l is:

[0086]

[0087] Where n is the number of nodes in the input layer; m is the number of nodes in the output layer; and a is a constant between 1 and 10, determined based on data fitting.

[0088] More specifically, the BP neural network model's input layer includes 11 input parameters: the horizontal and vertical coordinates of the leak point location, the leak aperture at the leak point, the equipment operating pressure, the material inventory of all equipment within each leak unit under emergency shutdown conditions, the open area ratio of the offshore gas platform's open face and the ratio of unfilled space between decks, wind speed and direction, the angle between the leak direction and the north of the offshore gas platform, and the angle between the wind direction and the north of the offshore gas platform. The BP neural network model's output layer is the gas cloud volume corresponding to each simulated operating condition.

[0089] Furthermore, according to formula (1), the number of nodes in the hidden layer is 5 to 14. If a is 4, the number of nodes in the hidden layer is 8.

[0090] 1.7.2) Based on the determined abscissa and ordinate coordinates of the leak point location, the leak aperture at the leak point, the equipment operating pressure, the material inventory of all equipment within each leak unit under emergency shutdown conditions, the open area ratio of the open surface of the offshore natural gas platform and the ratio of unfilled space between decks, wind speed and direction, the angle between the leak direction and the north of the offshore natural gas platform, the angle between the wind direction and the north of the offshore natural gas platform, and the gas cloud volume corresponding to each simulated operating condition, the established BP neural network model is trained to obtain a trained explosion gas cloud volume assessment model.

[0091] Specifically, based on the input parameters of a certain number of simulated working conditions obtained in step 6) and the gas cloud volume corresponding to each simulated working condition, a neural network training sample set for the input layer and output layer is established, the activation functions of the hidden layer and output layer are selected, and the established BP neural network model is trained to obtain a trained explosion gas cloud volume assessment model.

[0092] 2) Use CFD (Chemical Fluid Dynamics) to obtain the input parameters of the leak point to be assessed on the offshore natural gas platform, including the horizontal and vertical coordinates of the leak point location, the leak aperture of the leak point, the equipment operating pressure, the material inventory of all equipment in each leak unit under emergency shutdown conditions, the open area ratio of the open face of the offshore natural gas platform and the ratio of unfilled space between decks, wind speed and direction, the angle between the leak direction and the north of the offshore natural gas platform, and the angle between the wind direction and the north of the offshore natural gas platform.

[0093] 3) The input parameters of the leakage point to be evaluated are input into the trained explosion cloud volume evaluation model to obtain the gas cloud volume corresponding to each simulated working condition, thus completing the evaluation of the explosion cloud volume formed by the leakage of the offshore natural gas platform.

[0094] Example 2

[0095] This embodiment provides a system for assessing the volume of an explosion cloud on an open offshore natural gas platform, comprising:

[0096] The parameter acquisition module is used to obtain input parameters of the leakage point to be assessed on the offshore natural gas platform, wherein the input parameters include the horizontal and vertical coordinates of the leakage point location, the leakage aperture of the leakage point, the equipment operating pressure, the material inventory of all equipment in each leakage unit under the emergency shutdown condition, the open area ratio of the open surface of the offshore natural gas platform and the ratio of the unfilled space between decks, the wind speed and direction, the angle between the leakage direction and the north of the offshore natural gas platform, and the angle between the wind direction and the north of the offshore natural gas platform.

[0097] The gas cloud volume assessment module is used to input the input parameters of the leakage point to be assessed into the trained explosion gas cloud volume assessment model, obtain the gas cloud volume corresponding to each simulated working condition, and complete the assessment of the explosion gas cloud volume formed by the leakage of the offshore natural gas platform, wherein the explosion gas cloud volume assessment model adopts the BP neural network model.

[0098] The system provided in this embodiment is used to execute the above-mentioned method embodiments. Please refer to the above-mentioned embodiments for specific processes and detailed contents, which will not be repeated here.

[0099] Example 3

[0100] This embodiment provides a processing device corresponding to the method for evaluating the volume of explosion gas cloud on an open offshore natural gas platform provided in Example 1. The processing device can be applicable to a client processing device, such as a mobile phone, laptop computer, tablet computer, desktop computer, etc., to execute the method of Example 1.

[0101] The processing device includes a processor, a memory, a communication interface, and a bus. The processor, memory, and communication interface are connected via the bus to facilitate communication between them. The memory stores a computer program executable on the processing device. When the processing device executes the computer program, it executes the method for estimating the volume of an explosion cloud on an open offshore natural gas platform provided in Example 1.

[0102] In some implementations, the memory may be a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage.

[0103] In other implementations, the processor may be a central processing unit (CPU), a digital signal processor (DSP), or other general-purpose processors, which are not limited herein.

[0104] In addition, the logical instructions in the above-mentioned memory can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0105] Those skilled in the art will understand that the structure of the above-mentioned computing device is only a partial structure related to the solution of the present invention and does not constitute a limitation on the computing device to which the solution of the present invention is applied. The specific computing device may include more or fewer components, or combine certain components, or have a different component arrangement.

[0106] Example 4

[0107] This embodiment provides a computer program product corresponding to the method for evaluating the volume of explosion gas cloud of an open offshore natural gas platform provided in Example 1. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for executing the method for evaluating the volume of explosion gas cloud of an open offshore natural gas platform described in Example 1.

[0108] Computer readable storage media can be tangible devices that hold and store instructions used by instruction execution devices. Computer readable storage media can be, for example, but not limited to, electronic storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any combination thereof.

[0109] The above embodiment provides a computer-readable storage medium, whose implementation principle and technical effects are similar to those of the above method embodiment, and will not be repeated here.

[0110] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0111] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0112] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0113] The above embodiments are only used to illustrate the present invention, wherein the structure, connection mode and manufacturing process of each component can be changed. Any equivalent transformations and improvements based on the technical solution of the present invention should not be excluded from the scope of protection of the present invention.

Claims

1. A method for evaluating the volume of explosion cloud on an open offshore natural gas platform, characterized in that: include: Obtain input parameters of the leak point to be assessed on the offshore natural gas platform, where the input parameters include the horizontal and vertical coordinates of the leak point location, the leak aperture of the leak point, the equipment operating pressure, the material inventory of all equipment in each leak unit under emergency shutdown conditions, the open area ratio of the open surface of the offshore natural gas platform and the ratio of unfilled space between decks, wind speed and direction, the angle between the leak direction and the north of the offshore natural gas platform, and the angle between the wind direction and the north of the offshore natural gas platform; The input parameters of the leakage point to be evaluated are input into the trained explosion gas cloud volume evaluation model to obtain the gas cloud volume corresponding to each simulated working condition, and the evaluation of the explosion gas cloud volume formed by the leakage of the offshore natural gas platform is completed. Among them, the explosion gas cloud volume evaluation model adopts the BP neural network model.

2. The method for evaluating the volume of explosion cloud of an open offshore natural gas platform according to claim 1, characterized in that: The construction process of the explosion gas cloud volume assessment model is as follows: On the process flow diagram of the oil and gas processing system of an offshore natural gas platform, the oil and gas processing system is divided into several leakage units; Classify the leakage types of equipment in the oil and gas processing system of offshore natural gas platforms; Determine the operating pressure and size of all equipment within each divided leakage unit; Based on the classified leakage types and the determined operating pressure and size, calculate the material inventory of all equipment in each leakage unit under emergency shutdown conditions and the initial leakage rate of equipment with different leakage types; Calculate the open area ratio and unfilled space ratio between decks of offshore gas platforms; According to the material inventory of all equipment in each leakage unit under emergency shutdown conditions and the initial leakage rate of equipment with different leakage types, the simulation conditions are determined, and then the gas cloud volume corresponding to each simulation condition is determined; An explosion gas cloud volume assessment model is established, and the established explosion gas cloud volume assessment model is trained according to the operating pressure of all equipment in each leakage unit, the material inventory of all equipment in each leakage unit under emergency shutdown conditions, the ratio of unfilled space between decks of offshore natural gas platforms to the total space between platforms, and the gas cloud volume corresponding to each simulated working condition, to obtain a trained explosion gas cloud volume assessment model.

3. The method for evaluating the volume of explosion cloud of an open offshore natural gas platform according to claim 2, wherein: In the process flow diagram of the oil and gas processing system of the offshore natural gas platform, the oil and gas processing system is divided into several leakage units, including: Identify valves with shutoff functions in the process flow diagram of the oil and gas processing system on an offshore natural gas platform; The entire oil and gas processing system is divided into several leakage units according to the positions of valves with shut-off functions.

4. The method for evaluating the volume of explosion cloud of an open offshore natural gas platform according to claim 2, wherein: The leakage types classified according to the leakage aperture include small leakage, medium leakage, large leakage and large leakage, among which the leakage aperture of small leakage is 0-5mm, the leakage aperture of medium leakage is 5-50mm, the leakage aperture of large leakage is 50-100mm, and the leakage aperture of large leakage is 150-full release.

5. The method for evaluating the volume of explosion cloud of an open offshore natural gas platform according to claim 2, wherein: The calculation of the material inventory of all equipment in each leakage unit and the initial leakage rate of equipment of different leakage types under emergency shutdown conditions based on the classified leakage types and the determined operating pressure and size includes: Calculate the volume of all equipment in each leakage unit based on the determined sizes of all equipment in each leakage unit; Calculate the material inventory of all equipment in each leakage unit based on the volume, operating liquid level and relevant parameters in the material balance table of all equipment in each leakage unit; Based on the determined operating pressures of all devices in each leakage unit and the classified leakage types, the initial leakage rates of all devices in each leakage unit are calculated.

6. The method for evaluating the volume of explosion cloud of an open offshore natural gas platform according to claim 2, wherein: The calculation of the open area ratio and the unfilled space ratio between decks of the open face of the offshore natural gas platform includes: According to the elevation drawing of the offshore natural gas platform, calculate the proportion of the open surface area of ​​the offshore natural gas platform to the total area; Based on the dimensions of all equipment within each leakage unit, combined with the piping and main structure dimensions of all equipment within each leakage unit, the proportion of the unfilled space between decks of an offshore natural gas platform to the total space between platforms is calculated.

7. The method for evaluating the volume of explosion cloud of an open offshore natural gas platform according to claim 2, wherein: Determining the simulated working conditions based on the material inventory of all equipment in each leakage unit under the emergency shutdown condition and the initial leakage rate of equipment with different leakage types, and then determining the gas cloud volume corresponding to each simulated working condition, includes: Build a full-scale geometric model of an offshore gas platform; Based on the calculated material inventory of all equipment in each leakage unit under emergency shutdown conditions and the initial leakage rate of equipment with different leakage types, several leakage points are selected; Combine several selected leakage points with several environmental conditions to determine several simulated working conditions; Based on the determined simulation conditions, a transient CFD simulation of natural gas leakage and diffusion is performed to obtain the time-varying curve of the gas cloud volume for each simulation condition, and the largest gas cloud volume is extracted.

8. A system for evaluating the volume of explosion cloud on an open offshore natural gas platform, characterized in that: include: A parameter acquisition module is used to obtain input parameters of the leakage point to be assessed on the offshore natural gas platform, wherein the input parameters include the horizontal and vertical coordinates of the leakage point location, the leakage aperture of the leakage point, the equipment operating pressure, the material inventory of all equipment in each leakage unit under emergency shutdown conditions, the open area ratio of the open surface of the offshore natural gas platform and the ratio of the unfilled space between decks, the wind speed and direction, the angle between the leakage direction and the north of the offshore natural gas platform, and the angle between the wind direction and the north of the offshore natural gas platform; The gas cloud volume assessment module is used to input the input parameters of the leakage point to be assessed into the trained explosion gas cloud volume assessment model, obtain the gas cloud volume corresponding to each simulated working condition, and complete the assessment of the explosion gas cloud volume formed by the leakage of the offshore natural gas platform, wherein the explosion gas cloud volume assessment model adopts the BP neural network model.

9. A processing device, characterized in that: The method comprises computer program instructions, wherein when the computer program instructions are executed by a processing device, they are used to implement the steps corresponding to the method for evaluating the volume of explosion gas cloud of an open offshore natural gas platform according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer program instructions, wherein the computer program instructions, when executed by a processor, are used to implement the steps corresponding to the method for evaluating the volume of an explosion gas cloud on an open offshore natural gas platform according to any one of claims 1 to 7.

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