Pipeline evaluation method and device, computing equipment and machine readable storage medium

Abstract

The embodiment of the invention discloses a pipeline evaluation method and device, computing equipment and a machine readable storage medium, and belongs to the field of data analysis. The pipeline evaluation method comprises the following steps: dividing a target pipeline into a plurality of pipe sections; obtaining attribute parameters of each pipe section during operation; determining state parameters in all failure modes according to the attribute parameters of each pipe section; a Monte Carlo algorithm is adopted to determine the failure probability corresponding to each failure mode based on the state parameters in all the failure modes; and obtaining a reliability evaluation result of the target pipeline according to the failure probability corresponding to each failure mode. By dividing the pipeline into the multiple pipe sections and analyzing the reliability of the multiple pipe sections in the different failure modes, the reliability of the pipeline can be comprehensively evaluated, and then a more accurate pipeline reliability evaluation result is obtained. And the pipeline is maintained and overhauled according to a reliability evaluation result, so that long-term reliable operation of the pipeline is ensured.

Description

Technical Field

[0001] The present invention relates to the field of data analysis, and in particular to a pipeline evaluation method, apparatus, computing device and machine-readable storage medium. Background Art

[0002] With the rapid development of energy technology, the coverage of oil and gas pipelines used to transport oil and gas has been continuously expanded, and the oil and gas pipeline network in various regions has become increasingly complex. Due to the complex laying environment of pipelines and the increasing operation time of pipelines, pipelines are prone to failures such as corrosion, leakage and rupture, which in turn makes the pipelines unable to continue to be used reliably.

[0003] Reliability analysis is usually performed on pipelines to prevent pipeline failures. The reliability of a pipeline structure refers to the ability of a pipeline to transport natural gas within a specified time and under pressure without considering hydraulic and supply effects. However, when actually performing pipeline reliability analysis, it is difficult to obtain accurate pipeline reliability assessment results due to the high amount of calculations caused by the length of the entire pipeline, and it is therefore impossible to determine whether to perform maintenance and repairs on the pipeline based on the reliability assessment results. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a pipeline assessment method, apparatus, computing device and machine-readable storage medium, which are used to solve the problem of inaccurate pipeline reliability assessment results.

[0005] In order to achieve the above objectives, in a first aspect, the present application provides a pipeline evaluation method, which includes:

[0006] Divide the target pipeline into multiple pipe segments;

[0007] Get the attribute parameters of each pipe segment during operation;

[0008] According to the attribute parameters of each pipe section, the state parameters under all failure modes are determined;

[0009] Monte Carlo algorithm is used to determine the failure probability corresponding to each failure mode based on the state parameters under all failure modes;

[0010] According to the failure probability corresponding to each failure mode, the reliability assessment result of the target pipeline is obtained.

[0011] In an embodiment of the present application, the target pipeline is divided into multiple pipeline sections, including:

[0012] The pipeline internal pressure change point, pipeline diameter change point, pipeline material type change point, pipeline starting point and pipeline ending point of the target pipeline are all determined as pipeline segment division nodes;

[0013] The target pipeline is divided into multiple pipe segments based on all pipe segment division nodes.

[0014] In the embodiment of the present application, the state parameters under all failure modes are determined according to the attribute parameters of each pipe segment, including:

[0015] According to the attribute parameters and critical corrosion depth of each pipe section, the state parameters of the pipeline under the corrosion leakage failure mode are determined;

[0016] Determine the state parameters of the pipeline under the pressure rupture failure mode based on the attribute parameters and maximum defect depth of each pipe section;

[0017] According to the attribute parameters of each pipe section, the state parameters of the pipeline under the deformation failure mode are determined;

[0018] According to the property parameters and stress intensity factor of each pipe section, the state parameters of the pipeline weld cracking failure mode are determined.

[0019] In the embodiments of the present application, the property parameters include corrosion depth and pipe wall thickness;

[0020] According to the attribute parameters and critical corrosion depth of each pipe section, the state parameters of the pipeline corrosion leakage failure mode are determined, including:

[0021] Based on the wall thickness of each pipe section, determine the critical corrosion depth of the pipe section;

[0022] According to the corrosion depth and critical corrosion depth of each pipe section, the state parameters of the pipeline under the corrosion leakage failure mode are determined.

[0023] In the embodiments of the present application, the attribute parameters include defect length, pipe segment wall thickness, pipe segment diameter, yield strength, and internal pressure;

[0024] According to the attribute parameters and maximum defect depth of each pipe section, the state parameters of the pipeline under pressure rupture failure mode are determined, including:

[0025] Determine the expansion coefficient of each pipe segment based on the defect length, pipe segment wall thickness and pipe segment diameter of each pipe segment;

[0026] Determine the ultimate pressure of each pipe section based on the expansion coefficient, pipe section diameter, pipe section wall thickness, maximum defect depth and yield strength of each pipe section;

[0027] Based on the ultimate pressure and internal pressure of each pipe section, the state parameters of the pipeline under the pressure rupture failure mode are determined.

[0028] In the embodiments of the present application, the property parameters include pipe segment diameter, pipe segment wall thickness, internal pressure, and yield strength;

[0029] According to the attribute parameters of each pipe section, the state parameters of the pipeline deformation failure mode are determined, including:

[0030] Determine the axial stress and hoop stress of each pipe segment according to the pipe segment diameter, pipe segment wall thickness and internal pressure of each pipe segment;

[0031] Based on the yield strength, hoop stress, axial stress and radial stress of each pipe section, the state parameters under the pipeline deformation failure mode are determined.

[0032] In the embodiments of the present application, the property parameters include yield strength and fracture toughness;

[0033] According to the property parameters and stress intensity factor of each pipe section, the state parameters of the pipeline weld cracking failure mode are determined, including:

[0034] Determine the weld load ratio of the pipe section based on the yield strength of each pipe section;

[0035] According to the weld load ratio of each pipe segment, the cracking failure function of the pipe segment is constructed;

[0036] Determine the fracture ratio of each pipe segment based on the stress intensity factor, fracture toughness and weld load ratio of each pipe segment;

[0037] According to the cracking failure function and fracture ratio of each pipe section, the state parameters of the pipeline weld cracking failure mode are determined.

[0038] In a second aspect, the present application provides a pipeline evaluation device, the pipeline evaluation device comprising:

[0039] A pipeline division module is used to divide the target pipeline into multiple pipeline sections;

[0040] A parameter acquisition module is used to obtain the attribute parameters of each pipe section;

[0041] A state determination module is used to determine the state parameters under all failure modes according to the attribute parameters of each pipe segment;

[0042] A probability determination module, for determining the failure probability corresponding to each failure mode based on the state parameters under all failure modes using a Monte Carlo algorithm;

[0043] The pipeline assessment module is used to obtain the reliability assessment result of the target pipeline according to the failure probability corresponding to each failure mode.

[0044] In a third aspect, the present application provides a computing device, including:

[0045] a memory configured to store instructions;

[0046] The processor is configured to call instructions from a memory and implement the above pipeline evaluation method when executing the instructions.

[0047] In a third aspect, the present application provides a machine-readable storage medium having instructions stored thereon, the instructions being used to enable a machine to execute the above-mentioned pipeline evaluation method.

[0048] The present application provides a pipeline assessment method, including: dividing the target pipeline into multiple pipe sections; obtaining the attribute parameters of each pipe section during operation; determining the state parameters under all failure modes according to the attribute parameters of each pipe section; using the Monte Carlo algorithm based on the state parameters under all failure modes to determine the failure probability corresponding to each failure mode; and obtaining the reliability assessment result of the target pipeline according to the failure probability corresponding to each failure mode. By dividing the pipeline into multiple pipe sections and analyzing the reliability of multiple pipe sections under different failure modes, the reliability of the pipeline can be comprehensively assessed, thereby obtaining a more accurate pipeline reliability assessment result. The pipeline is maintained and repaired based on the reliability assessment results, thereby ensuring the long-term reliable operation of the pipeline.

[0049] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0051] Figure 1 A flow chart of a pipeline evaluation method provided by an embodiment of the present application is shown;

[0052] Figure 2 A schematic structural diagram of a pipeline evaluation device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0053] The specific implementation of the embodiment of the present invention will be described in detail below in conjunction with the accompanying drawings in the embodiment of the present invention. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0054] The components of the embodiments of the present invention generally described and shown in the drawings herein may be arranged and designed in a variety of different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0055] Hereinafter, the terms "including", "having" and their cognates, which may be used in various embodiments of the present invention, are intended only to indicate specific features, numbers, steps, operations, elements, components or combinations of the foregoing items, and should not be understood as first excluding the existence of one or more other features, numbers, steps, operations, elements, components or combinations of the foregoing items or adding the possibility of one or more features, numbers, steps, operations, elements, components or combinations of the foregoing items.

[0056] Furthermore, the terms “first”, “second”, “third”, etc. are merely used for distinguishing descriptions and are not to be understood as indicating or implying relative importance.

[0057] Unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meanings as those generally understood by those skilled in the art to which the various embodiments of the present invention belong. The terms (such as those defined in generally used dictionaries) will be interpreted as having the same meanings as the contextual meanings in the relevant technical field and will not be interpreted as having idealized meanings or overly formal meanings unless clearly defined in the various embodiments of the present invention.

[0058] Example 1

[0059] See also Figure 1 , Figure 1 A flow chart of a pipeline evaluation method provided in an embodiment of the present application is shown.

[0060] Figure 1 Pipeline assessment methods in include:

[0061] S110, dividing the target pipeline into multiple pipeline segments.

[0062] The target pipeline is the pipeline that needs to be evaluated for reliability. Usually, the pipeline is made of materials such as steel pipes that are thousands of meters long. The target pipeline is divided into multiple pipe sections, that is, a pipe section is an independent part of the pipeline. The length of each pipe section is set according to actual needs, and can be the length of a steel pipe and a weld, which is not limited here.

[0063] In an embodiment of the present application, the target pipeline is divided into multiple pipeline sections, including:

[0064] The pipeline internal pressure change point, pipeline diameter change point, pipeline material type change point, pipeline starting point and pipeline ending point of the target pipeline are all determined as pipeline segment division nodes;

[0065] The target pipeline is divided into multiple pipe segments based on all pipe segment division nodes.

[0066] The pipeline internal pressure change point refers to the position where the internal pressure of the pipeline changes significantly. Similarly, the pipeline diameter change point refers to the position where the diameter of the pipeline changes significantly. The pipeline material type change point refers to the position where the material type of the pipeline changes significantly.

[0067] The target pipeline's internal pressure change points, pipeline diameter change points, pipeline material type change points, pipeline starting points, and pipeline ending points are all determined as segment division nodes. The target pipeline is divided into multiple segments based on all segment division nodes, and then the pipeline is divided into multiple minimum units using the steel pipes and welds of the pipeline as segments. By dividing the pipeline, the reliability of different pipeline segment units under different failure modes can be considered, thereby obtaining more accurate pipeline reliability assessment results.

[0068] S120, obtaining attribute parameters of each pipe segment during operation.

[0069] When the pipeline is put into use, the attribute parameters of each pipe segment during operation are obtained. The type of attribute parameters is set according to actual needs. It can be the yield strength of the pipe segment, pipe segment diameter, pipe segment wall thickness, tensile strength, fracture toughness, corrosion depth, defect length, internal pressure, material density and material elastic modulus, etc., any parameters that change when the pipeline fails, which are not limited here.

[0070] It should be understood that when it is determined that a pipe section has failed, the environmental parameters of the area where the pipe section is located can also be obtained. The type of environmental parameters is also set according to actual needs, and can be the subsidence length of the area where the pipe section is located, the density of the buried soil, the buried depth of the pipeline, the pipe-soil friction angle, the static soil pressure coefficient and the buried soil base bed coefficient, etc., which are not limited here. The failure mode of the failed pipe section can be determined based on the obtained environmental parameters and attribute parameters.

[0071] S130, determining state parameters under all failure modes according to the attribute parameters of each pipe segment.

[0072] According to the attribute parameters of each pipe section, the state parameters of the pipe section under each failure mode are determined. The state parameter refers to the variable of the state of the pipeline at a certain moment, which can be the pressure of the pipeline, etc. The state parameter under the failure mode refers to the characteristic parameters exhibited when the pipeline fails.

[0073] The types of multiple failure modes are set according to actual needs and are not limited here. For ease of understanding, all failure modes in the embodiments of the present application include pipeline corrosion leakage failure mode, pipeline pressure rupture failure mode, pipeline deformation failure mode and pipeline weld cracking failure mode.

[0074] S140, using a Monte Carlo algorithm to determine the failure probability corresponding to each failure mode based on the state parameters in all failure modes.

[0075] Monte Carlo Method is a calculation method based on random sampling and statistical simulation. Since the Monte Carlo algorithm can divide the calculation process into multiple independent tasks, it can calculate multiple parallel independent failure modes. Using the Monte Carlo algorithm, the failure probability of each failure mode of each pipe segment is determined based on the state parameters and reliability parameters of each failure mode of each pipe segment. The failure probability of each failure mode of the pipe segment is the reliability of the pipe segment under different failure modes. According to the failure probability, the probability of failure of each pipe segment in the target pipeline can be quickly determined.

[0076] S150, obtaining a reliability assessment result of the target pipeline according to the failure probability corresponding to each failure mode.

[0077] According to the failure probability corresponding to each failure mode of the pipe segment, the total failure probability of the pipeline is determined. Based on the total failure probability of each pipe segment, the reliability of the pipe segment is determined. The reliability of all pipe segments is combined to obtain the reliability evaluation result of the target pipeline. Through the reliability evaluation result of the target pipeline, the pipe segments prone to failure can be quickly identified, and then the pipe segments in the pipeline can be maintained and repaired to ensure the long-term reliable operation of the pipeline.

[0078] Usually, when evaluating the reliability of a pipeline, only the reliability of the pipeline in the leakage failure mode or the reliability of the pipeline in the rupture failure mode is considered. This application divides the pipeline into multiple segments and analyzes the reliability of multiple segments in different failure modes, so as to comprehensively evaluate the reliability of the pipeline and obtain more accurate pipeline reliability evaluation results. The pipeline is maintained and repaired based on the reliability evaluation results to ensure the long-term reliable operation of the pipeline.

[0079] In the embodiment of the present application, the state parameters under all failure modes are determined according to the attribute parameters of each pipe segment, including:

[0080] According to the attribute parameters and critical corrosion depth of each pipe section, the state parameters of the pipeline under the corrosion leakage failure mode are determined;

[0081] Determine the state parameters of the pipeline under the pressure rupture failure mode based on the attribute parameters and maximum defect depth of each pipe section;

[0082] According to the attribute parameters of each pipe section, the state parameters of the pipeline under the deformation failure mode are determined;

[0083] According to the property parameters and stress intensity factor of each pipe section, the state parameters of the pipeline weld cracking failure mode are determined.

[0084] Usually, pipelines are laid in the soil. Under the chemical or physical corrosion of the external environment, the metal surface of the steel pipe or other materials of the pipeline are damaged, which leads to leakage of the pipeline and eventually leads to pipeline corrosion and leakage failure. According to the attribute parameters and critical corrosion depth of each pipe section, the state parameters of the pipeline corrosion and leakage failure mode are determined.

[0085] Pipeline pressure rupture failure refers to failure caused by rupture of the pipeline after being subjected to pressure. Usually, the working pressure of the pipeline exceeds the bearing pressure of the pipeline material. The aging or corrosion of the pipeline after long-term use can easily lead to pipeline pressure rupture failure. According to the attribute parameters and maximum defect depth of each pipe section, the state parameters of the pipeline pressure rupture failure mode are determined.

[0086] No further details are given here. For ease of understanding, in the embodiments of the present application, the sinking and deformation of the pipeline is taken as an example. The ground in the area where the pipeline is located sinks or the underground structure is displaced, which in turn causes the pipeline to deform and fail. Usually, during the long-term use of the pipeline, the aging of the pipeline and the excessive load on the pipeline will also cause the pipeline to deform and fail. According to the attribute parameters of each pipe section, the state parameters in the pipeline deformation failure mode are determined.

[0087] Similarly, in the long-term use of pipelines, aging of pipelines and corrosion from the external environment are likely to cause weld cracking. Any weld cracking in the pipeline will lead to pipeline failure. The state parameters of the pipeline weld cracking failure mode are determined based on the attribute parameters and stress intensity factor of each pipe section.

[0088] In the embodiments of the present application, the property parameters include corrosion depth and pipe wall thickness;

[0089] According to the attribute parameters and critical corrosion depth of each pipe section, the state parameters of the pipeline corrosion leakage failure mode are determined, including:

[0090] Based on the wall thickness of each pipe section, determine the critical corrosion depth of the pipe section;

[0091] According to the corrosion depth and critical corrosion depth of each pipe section, the state parameters of the pipeline under the corrosion leakage failure mode are determined.

[0092] When analyzing pipeline corrosion and leakage failure, the attribute parameters that need to be obtained include the corrosion depth and wall thickness of each pipe segment in the pipeline. Based on the wall thickness of each pipe segment, the critical corrosion depth of the pipe segment is determined. According to the corrosion depth and critical corrosion depth of each pipe segment, the state parameters in the pipeline corrosion and leakage failure mode are determined:

[0093] G leak =a lim -d Formula (1)

[0094] Among them, G leak is the state parameter of the pipeline corrosion leakage failure mode, d is the corrosion depth of the pipe section, a lim is the critical corrosion depth of the pipe section. In this implementation, a lim =0.St, and t is the wall thickness of the pipe section.

[0095] It should be understood that the critical corrosion depth of the pipe section can also be set to any other value according to actual needs, which will not be elaborated here.

[0096] In the embodiments of the present application, the attribute parameters include defect length, pipe segment wall thickness, pipe segment diameter, yield strength, and internal pressure;

[0097] According to the attribute parameters and maximum defect depth of each pipe section, the state parameters of the pipeline under pressure rupture failure mode are determined, including:

[0098] Determine the expansion coefficient of each pipe segment based on the defect length, pipe segment wall thickness and pipe segment diameter of each pipe segment;

[0099] Determine the ultimate pressure of each pipe section based on the expansion coefficient, pipe section diameter, pipe section wall thickness, maximum defect depth and yield strength of each pipe section;

[0100] Based on the ultimate pressure and internal pressure of each pipe section, the state parameters of the pipeline under the pressure rupture failure mode are determined.

[0101] When analyzing the failure of pipeline pressure rupture, the attribute parameters that need to be obtained include the defect length, wall thickness, diameter, yield strength and internal pressure of each pipe segment in the pipeline. Based on the defect length, wall thickness and diameter of each pipe segment, the expansion coefficient of the pipe segment is determined:

[0102]

[0103] Among them, M is the expansion coefficient of the pipe section, L is the defect length of the pipe section, D is the diameter of the pipe section, and t is the wall thickness of the pipe section.

[0104] The value of the maximum defect depth is set according to actual needs and is not limited here. The ultimate pressure of the pipe section is determined based on the expansion coefficient, pipe section diameter, pipe section wall thickness, maximum defect depth and yield strength of each pipe section:

[0105]

[0106] Among them, p lim is the ultimate pressure of the pipe section, σ y is the yield strength of the pipe section, D is the diameter of the pipe section, t is the wall thickness of the pipe section, d is the maximum defect depth of the pipeline, and M is the expansion coefficient of the pipe section.

[0107] Based on the ultimate pressure and internal pressure of each pipe section, the state parameters of the pipeline under pressure rupture failure mode are determined:

[0108] G burst =p lim -p Formula (4)

[0109] Among them, G burst is the state parameter of the pipeline under pressure rupture failure mode, p lim is the ultimate pressure of the pipe section, and p is the internal pressure of the pipe section.

[0110] In the embodiments of the present application, the property parameters include pipe segment diameter, pipe segment wall thickness, internal pressure, and yield strength;

[0111] According to the attribute parameters of each pipe section, the state parameters of the pipeline deformation failure mode are determined, including:

[0112] Determine the axial stress and hoop stress of each pipe segment according to the pipe segment diameter, pipe segment wall thickness and internal pressure of each pipe segment;

[0113] Based on the yield strength, hoop stress, axial stress and radial stress of each pipe section, the state parameters under the pipeline deformation failure mode are determined.

[0114] When analyzing pipeline deformation failure, the attribute parameters that need to be obtained include pipe segment diameter, pipe segment wall thickness, internal pressure and yield strength. The axial stress of the pipe segment is determined based on the pipe segment diameter, pipe segment wall thickness and internal pressure of each pipe segment. Since the axial stress of the pipe segment is also affected by factors such as pipeline tension, the axial stress of the pipe segment in this embodiment is:

[0115]

[0116] Among them, σ1 is the axial stress of the pipe segment, p is the internal pressure of the pipe segment, D is the diameter of the pipe segment, t is the wall thickness of the pipe segment, N0 is the tension of the pipe segment in the soil, S is the cross-sectional area of ​​the pipe segment, M0 is the bending moment at the junction of the pipe segment and the soil, and W is the offset of the pipe segment.

[0117] It should be understood that the tension of the pipe section in the soil is calculated based on parameters such as soil bulk density, soil friction angle, variable length of the soil and load of the pipe section, which will not be elaborated here. The bending moment is calculated based on parameters such as the tension of the pipe section and the buried depth of the pipe section, which will not be elaborated here.

[0118] When determining the hoop stress of a pipe segment, there is no need to consider the influence of factors such as pipeline tension. Instead, the hoop stress of the pipe segment can be determined directly based on the pipe segment diameter, pipe segment wall thickness and internal pressure of each pipe segment:

[0119]

[0120] Among them, σ2 is the hoop stress of the pipe section, p is the internal pressure of the pipe section, D is the diameter of the pipe section, and t is the wall thickness of the pipe section.

[0121] Usually, the structure of the pipe section is a thin-walled cylindrical structure, so that the radial stress of the pipe section can be directly regarded as 0, and there is no need to determine the radial stress of the pipe section additionally. Then, based on the yield strength, hoop stress, axial stress and radial stress of each pipe section, the state parameters of the pipeline deformation failure mode are determined:

[0122]

[0123] Among them, G suspend is the state parameter of the pipeline deformation failure mode, σ y is the yield strength of the pipe segment, σ1 is the axial stress of the pipe segment, σ2 is the hoop stress of the pipe segment, and σ3 is the radial stress of the pipe segment.

[0124] In the embodiments of the present application, the property parameters include yield strength and fracture toughness;

[0125] According to the property parameters and stress intensity factor of each pipe section, the state parameters of the pipeline weld cracking failure mode are determined, including:

[0126] Determine the weld load ratio of the pipe section based on the yield strength of each pipe section;

[0127] According to the weld load ratio of each pipe segment, the cracking failure function of the pipe segment is constructed;

[0128] Determine the fracture ratio of each pipe segment based on the stress intensity factor, fracture toughness and weld load ratio of each pipe segment;

[0129] According to the cracking failure function and fracture ratio of each pipe section, the state parameters of the pipeline weld cracking failure mode are determined.

[0130] When analyzing pipeline weld cracking failure, the property parameters that need to be obtained include yield strength and fracture toughness. Based on the yield strength of each pipe segment, determine the weld load ratio of the pipe segment:

[0131] L r =σ ref / σ y Formula (8)

[0132] Among them, L r is the weld load ratio of the pipe section, σ ref is the reference stress, σ y is the yield strength of the pipe section.

[0133] According to the weld load ratio of each pipe segment, the cracking failure function of the pipe segment is constructed:

[0134]

[0135] Among them, f(L r ) is the cracking failure function of the pipe section, L r is the weld load ratio of the pipe section, λ=1+(EΔε) / σ y , and Δε=0.0375(1-σ y / 1000), N=0.3(1-σ y / σ u ), E is the elastic modulus of the pipe section, σ y is the yield strength of the pipe section, σ u is the tensile strength of the weld.

[0136] Based on the stress intensity factor, fracture toughness and weld load ratio of each pipe segment, the fracture ratio of the pipe segment under the current weld load is determined as K r (L r ), where the calculation formula for the fracture ratio is K r =K1 / K mat , K1 is the stress intensity factor of the pipe section, K mat is the fracture toughness of the pipe section, L r The weld of the pipe section.

[0137] For ease of understanding, this application constructs a reliability calculation model for the pipeline, and substitutes the failure probabilities corresponding to the pipeline corrosion leakage failure mode, the failure probabilities corresponding to the pipeline pressure rupture failure mode, the failure probabilities corresponding to the pipeline deformation failure mode, and the failure probabilities corresponding to the pipeline weld cracking failure mode into the reliability calculation model to obtain the reliability of the pipe section:

[0138] F SEC =1-(1-F1)(1-F2)(1-F3)(1-F WELD ) Formula (10)

[0139] R SEC =1-F SEC Formula (11)

[0140] Among them, R SEC is the reliability evaluation result of the pipe section, F SEC is the total failure probability of the pipe section, F1 is the failure probability corresponding to the failure mode of pipeline corrosion leakage, F2 is the failure probability corresponding to the failure mode of pipeline pressure rupture, F3 is the failure probability corresponding to the failure mode of pipeline deformation, and F WELD is the failure probability corresponding to the pipeline weld cracking failure mode.

[0141] After obtaining the reliability of each pipe section, the reliability of all pipe sections is combined to obtain the reliability assessment result of the target pipeline. The pipe sections with abnormal reliability are maintained and repaired based on the reliability assessment results to ensure the long-term reliable operation of the pipeline. The Monte Carlo method is used to calculate the reliability of the pipe section under different failure modes, and finally the reliability values ​​of each pipe section under different failure modes are brought into the reliability calculation model to realize the system structure reliability calculation of the target pipeline, so as to judge whether the pipe section in the pipeline is safe, assist in the decision-making of reliability enhancement measures, reduce the failure probability of the pipeline, realize the improvement of the reliability of the natural gas pipeline, and ensure the safety of gas supply.

[0142] The present application provides a pipeline assessment method, including: dividing the target pipeline into multiple pipe sections; obtaining the attribute parameters of each pipe section during operation; determining the state parameters under all failure modes according to the attribute parameters of each pipe section; using the Monte Carlo algorithm based on the state parameters under all failure modes to determine the failure probability corresponding to each failure mode; and obtaining the reliability assessment result of the target pipeline according to the failure probability corresponding to each failure mode. By dividing the pipeline into multiple pipe sections and analyzing the reliability of multiple pipe sections under different failure modes, the reliability of the pipeline can be comprehensively assessed, thereby obtaining a more accurate pipeline reliability assessment result. The pipeline is maintained and repaired based on the reliability assessment results, thereby ensuring the long-term reliable operation of the pipeline.

[0143] Example 2

[0144] See also Figure 2 , Figure 2 A schematic structural diagram of a pipeline evaluation device provided in an embodiment of the present application is shown. Figure 2 The pipeline evaluation device 200 comprises:

[0145] A pipeline division module 210 is used to divide the target pipeline into multiple pipeline sections;

[0146] The parameter acquisition module 220 is used to acquire the attribute parameters of each pipe segment;

[0147] A state determination module 230, for determining state parameters under all failure modes according to attribute parameters of each pipe segment;

[0148] The probability determination module 240 is used to determine the failure probability corresponding to each failure mode based on the state parameters under all failure modes by using the Monte Carlo algorithm;

[0149] The pipeline assessment module 250 is used to obtain a reliability assessment result of the target pipeline according to the failure probability corresponding to each failure mode.

[0150] In an embodiment of the present application, the pipeline division module 210 includes:

[0151] The node determination submodule is used to determine the pipeline internal pressure change point, pipeline diameter change point, pipeline material type change point, pipeline starting point and pipeline ending point of the target pipeline as the pipeline segment division nodes;

[0152] The pipe segment division submodule is used to divide the target pipeline into multiple pipe segments based on all pipe segment division nodes.

[0153] In an embodiment of the present application, the state determination module 230 includes:

[0154] The leakage failure state determination submodule is used to determine the state parameters of the pipeline corrosion leakage failure mode according to the attribute parameters of each pipe section and the critical corrosion depth;

[0155] The rupture failure state determination submodule is used to determine the state parameters of the pipeline under the pressure rupture failure mode according to the attribute parameters of each pipe section and the maximum defect depth;

[0156] The deformation failure state determination submodule is used to determine the state parameters of the pipeline under the deformation failure mode according to the attribute parameters of each pipe section;

[0157] The weld cracking failure state determination submodule is used to determine the state parameters of the pipeline weld cracking failure mode according to the attribute parameters and stress intensity factor of each pipe section.

[0158] In the embodiments of the present application, the property parameters include corrosion depth and pipe wall thickness;

[0159] The leakage failure state determination submodule is also used to determine the critical corrosion depth of the pipe section based on the pipe section wall thickness of each pipe section;

[0160] According to the corrosion depth and critical corrosion depth of each pipe section, the state parameters of the pipeline under the corrosion leakage failure mode are determined.

[0161] In the embodiments of the present application, the attribute parameters include defect length, pipe segment wall thickness, pipe segment diameter, yield strength, and internal pressure;

[0162] The deformation failure state determination submodule is also used to determine the expansion coefficient of each pipe segment based on the defect length, the wall thickness of the pipe segment and the diameter of the pipe segment;

[0163] Determine the ultimate pressure of each pipe section based on the expansion coefficient, pipe section diameter, pipe section wall thickness, maximum defect depth and yield strength of each pipe section;

[0164] Based on the ultimate pressure and internal pressure of each pipe section, the state parameters of the pipeline under the pressure rupture failure mode are determined.

[0165] In the embodiments of the present application, the property parameters include pipe segment diameter, pipe segment wall thickness, internal pressure, and yield strength;

[0166] The deformation failure state determination submodule is also used to determine the axial stress and the hoop stress of each pipe segment according to the pipe segment diameter, the pipe segment wall thickness and the internal pressure of each pipe segment;

[0167] Based on the yield strength, hoop stress, axial stress and radial stress of each pipe section, the state parameters under the pipeline deformation failure mode are determined.

[0168] In the embodiments of the present application, the property parameters include yield strength and fracture toughness;

[0169] The weld crack failure state determination submodule is further used to determine the weld load ratio of the pipe segment based on the yield strength of each pipe segment;

[0170] According to the weld load ratio of each pipe segment, the cracking failure function of the pipe segment is constructed;

[0171] Determine the fracture ratio of each pipe segment based on the stress intensity factor, fracture toughness and weld load ratio of each pipe segment;

[0172] According to the cracking failure function and fracture ratio of each pipe section, the state parameters of the pipeline weld cracking failure mode are determined.

[0173] The pipeline assessment device 200 is used to execute the corresponding steps in the above pipeline assessment method, and the specific implementation of each function is not described one by one here. In addition, the optional examples in the pipeline assessment method are also applicable to the pipeline assessment device 200.

[0174] The present application also provides a computing device, including:

[0175] a memory configured to store instructions;

[0176] The processor is configured to call instructions from a memory and implement the above pipeline evaluation method when executing the instructions.

[0177] The pipeline division module 210, parameter acquisition module 220, state determination module 230, probability determination module 240 and pipeline evaluation module 250 in this embodiment are all stored in the memory as program units, and the processor executes the above program units stored in the memory to implement corresponding functions.

[0178] The processor includes a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and the problem of inaccurate pipeline reliability evaluation results can be solved by adjusting kernel parameters.

[0179] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0180] An embodiment of the present application also provides a machine-readable storage medium, on which instructions are stored, and the instructions are used to enable a machine to execute the above-mentioned pipeline evaluation method.

[0181] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0182] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, 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 generate 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 flowchart and / or block diagram. 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.

[0183] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate 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 1A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0184] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0185] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0186] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0187] Machine-readable storage media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0188] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0189] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A pipeline assessment method, characterized in that: The pipeline assessment method comprises: Divide the target pipeline into multiple pipe segments; Obtaining attribute parameters of each pipe segment during operation; Determining state parameters under all failure modes according to the attribute parameters of each of the pipe sections; Using a Monte Carlo algorithm based on the state parameters under all the failure modes, the failure probability corresponding to each failure mode is determined respectively; According to the failure probability corresponding to each failure mode, the reliability evaluation result of the target pipeline is obtained.

2. The pipeline evaluation method according to claim 1, characterized in that: The target pipeline is divided into a plurality of pipeline sections, including: Determine the pipeline internal pressure change point, pipeline diameter change point, pipeline material type change point, pipeline starting point and pipeline ending point of the target pipeline as pipeline segment division nodes; The target pipeline is divided into multiple pipeline sections based on all the pipeline section division nodes.

3. The pipeline evaluation method according to claim 1, characterized in that: Determining the state parameters under all failure modes according to the attribute parameters of each pipe segment includes: Determine the state parameters of the pipeline under the corrosion leakage failure mode according to the property parameters and the critical corrosion depth of each pipe section; Determining state parameters of the pipeline under a pressure rupture failure mode according to the attribute parameters and the maximum defect depth of each of the pipe sections; Determining state parameters of the pipeline under a deformation failure mode according to the attribute parameters of each of the pipe sections; According to the property parameters and stress intensity factor of each pipe section, the state parameters under the pipeline weld cracking failure mode are determined.

4. The pipeline evaluation method according to claim 3, characterized in that: The property parameters include corrosion depth and pipe wall thickness; Determining the state parameters of the pipeline under the corrosion leakage failure mode according to the attribute parameters and the critical corrosion depth of each pipe section includes: Determining the critical corrosion depth of the pipe segment based on the pipe segment wall thickness of each of the pipe segments; According to the corrosion depth and the critical corrosion depth of each pipe section, state parameters in a pipeline corrosion leakage failure mode are determined.

5. The pipeline evaluation method according to claim 3, characterized in that: The attribute parameters include defect length, pipe section wall thickness, pipe section diameter, yield strength and internal pressure; Determining the state parameters of the pipeline under the pressure rupture failure mode according to the attribute parameters and the maximum defect depth of each pipe section includes: Determining the expansion coefficient of each pipe segment based on the defect length of each pipe segment, the wall thickness of the pipe segment and the diameter of the pipe segment; Determining the limit pressure of each pipe segment according to the expansion coefficient of each pipe segment, the pipe segment diameter, the pipe segment wall thickness, the maximum defect depth and the yield strength; Based on the ultimate pressure of each of the pipe sections and the internal pressure, state parameters of the pipeline under the pressure rupture failure mode are determined.

6. The pipeline evaluation method according to claim 3, characterized in that: The property parameters include pipe segment diameter, pipe segment wall thickness, internal pressure and yield strength; Determining the state parameters of the pipeline under the deformation failure mode according to the attribute parameters of each of the pipe sections includes: Determine the axial stress and the hoop stress of each pipe segment according to the pipe segment diameter, the pipe segment wall thickness and the internal pressure of each pipe segment; Based on the yield strength, the hoop stress, the axial stress and the radial stress of each of the pipe sections, state parameters in a pipeline deformation failure mode are determined.

7. The pipeline evaluation method according to claim 3, characterized in that: The property parameters include yield strength and fracture toughness; Determining the state parameters of the pipeline weld cracking failure mode according to the property parameters and stress intensity factor of each pipe segment includes: Determining the weld load ratio of the pipe section based on the yield strength of each pipe section; constructing a cracking failure function of the pipe segment according to the weld load ratio of each pipe segment; Determining the fracture ratio of the pipe segment based on the stress intensity factor, the fracture toughness and the weld load ratio of each pipe segment; According to the cracking failure function and the fracture ratio of each pipe section, state parameters under the pipeline weld cracking failure mode are determined.

8. A pipeline evaluation device, characterized in that: The pipeline evaluation device comprises: A pipeline division module is used to divide the target pipeline into multiple pipeline sections; A parameter acquisition module, used to acquire attribute parameters of each pipe segment; A state determination module, used for determining state parameters under all failure modes according to attribute parameters of each pipe segment; A probability determination module, configured to respectively determine the failure probability corresponding to each failure mode based on the state parameters under all failure modes using a Monte Carlo algorithm; The pipeline assessment module is used to obtain the reliability assessment result of the target pipeline according to the failure probability corresponding to each failure mode.

9. A computing device, characterized in that include: a memory configured to store instructions; A processor is configured to call the instructions from the memory and implement the pipeline evaluation method according to any one of claims 1 to 7 when executing the instructions.

10. A machine-readable storage medium, characterized in that: The machine-readable storage medium stores instructions for causing a machine to execute the pipeline evaluation method according to any one of claims 1 to 7.

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