CN113640456B

CN113640456B - Method and device for determining gas pipeline sample

Info

Publication number: CN113640456B
Application number: CN202010392420.4A
Authority: CN
Inventors: 齐昌超; 高健; 郭霄雄; 吴冠霖; 杨一骁; 杨航; 崔铭芳; 舒洁; 杜炘洁; 何睿; 李潮浪; 蒋蓉; 张渺; 李锐; 何承宏
Original assignee: Petrochina Co Ltd
Current assignee: Petrochina Co Ltd
Priority date: 2020-05-11
Filing date: 2020-05-11
Publication date: 2024-05-28
Anticipated expiration: 2040-05-11
Also published as: CN113640456A

Abstract

The application discloses a method and a device for determining a gas pipeline sample, and belongs to the technical field of gas pipelines. The method comprises the following steps: based on the proportion of the number of the gas pipelines in the pipe diameter range in the total number of the gas pipelines and the intersection of the pipe diameter included in the target pipe diameter range and a preset plurality of pipe diameters, a plurality of target pipe diameters are obtained, based on the number of the gas pipelines with the target pipe diameter and any pipe wall thickness corresponding to the target pipe diameter, a corresponding target pipe wall thickness is obtained, a plurality of target materials are obtained based on the number of the gas pipelines of each material, then the sample pipe diameter, the sample pipe wall thickness and the sample materials are determined, and the parameter values of the preset inner corrosion parameters of each gas pipeline are clustered to obtain sample parameter values of the sample materials. The sampling tube produced by the application is more similar to an actual gas pipeline, and the sampling tube simulates the corrosion condition in the actual gas pipeline and is used for detecting the defect detection rate of the nondestructive testing technology of the internal corrosion defect, so that the more accurate defect detection rate can be obtained.

Description

Method and device for determining gas pipeline sample

Technical Field

The application relates to the technical field of gas pipelines, in particular to a method and a device for determining a gas pipeline sample.

Background

In a natural gas transmission pipeline system, natural gas pipelines are limited by terrains, such as straight pipelines and bent pipelines, and pipes such as reducing joints in the pipelines and on the pipelines are easy to corrode after long-term use. In order to ensure the gas transmission safety of the gas transmission pipeline, the condition of corrosion parameters in the gas transmission pipeline needs to be detected in time by utilizing the nondestructive detection technology of the corrosion defects, wherein the parameters such as the length, the depth, the clock direction and the like of the corrosion defects can be detected. The detection rate of the inner corrosion nondestructive detection technology is an important detection parameter, and because the inner corrosion conditions of all the gas pipelines are different, at the moment, a detection sample needs to be manufactured to detect the detection rate of the inner corrosion defect nondestructive detection technology.

In the related art, a steel test block provided with artificial inner corrosion is generally used as a detection sample, and is used for detecting the detection rate of the inner corrosion defect nondestructive detection technology.

The applicant found that there are at least the following technical problems in the related art:

The steel test block used in the method does not simulate the actual corrosion condition in the gas pipeline, so that the defect detection rate obtained by the nondestructive testing technology of the internal corrosion defect is inaccurate.

Disclosure of Invention

The embodiment of the application provides a method and a device for determining a gas pipeline sample, which can solve the problem of inaccurate defect detection rate obtained in the related technology. The technical scheme is as follows:

In one aspect, a method of determining a gas line sample is provided, the method comprising:

in the used gas pipeline set for conveying the target medium, determining the number of gas pipelines with the pipe diameter within each preset pipe diameter range, and determining the number of gas pipelines with each material;

For each pipe diameter range, determining the proportion of the number of the gas pipelines in the pipe diameter range in the total number of the gas pipelines in the gas pipeline set;

Determining a first preset number of target pipe diameter ranges with the largest corresponding proportion, and determining the pipe diameter of each gas pipeline included in the target pipe diameter ranges;

Determining the intersection of the pipe diameters of all the gas pipelines included in the target pipe diameter range and a plurality of preset pipe diameters to obtain a plurality of target pipe diameters;

Determining a second preset number of target materials with the largest corresponding number;

Determining a plurality of pipe wall thicknesses corresponding to each target pipe diameter based on the corresponding relation between the pipe diameter and the pipe wall thickness stored in advance;

For each target pipe diameter, determining the number of the gas pipelines which have the target pipe diameter and any pipe wall thickness corresponding to the target pipe diameter in the gas pipeline set, obtaining the number corresponding to each pipe wall thickness corresponding to the target pipe diameter, and determining the pipe wall thickness with the largest corresponding number as the target pipe wall thickness corresponding to the target pipe diameter;

determining the sample pipe diameters, the sample pipe wall thicknesses and the sample materials of the plurality of sample pipes based on the plurality of target pipe diameters, the corresponding target pipe wall thicknesses and the second preset number of target materials;

Acquiring parameter values of preset inner corrosion parameters of each gas pipeline in the gas pipeline set;

for each inner corrosion parameter, carrying out clustering processing based on a plurality of parameter values corresponding to the inner corrosion parameter, and determining center parameter values corresponding to a plurality of clustering centers;

Based on a plurality of central parameter values corresponding to each inner corrosion parameter, determining sample parameter values corresponding to all preset inner corrosion parameters of each sample tube;

the sample parameter values of the sample pipe diameter, the sample pipe wall thickness, the sample material and the preset inner corrosion parameters corresponding to each sample pipe are used for producing the sample pipes, and the sample pipes are used for detecting the defect detection rate of the inner corrosion defect nondestructive detection technology.

In one possible implementation, the method further includes:

determining the number of gas pipelines of each weld defect type in a used gas pipeline set for conveying a target medium;

Determining a third preset number of target weld defect types with the largest corresponding number;

Determining sample weld defect types of the plurality of sample tubes based on the third preset number of target weld defect types;

And the sample weld defect type is used for processing the weld joint of the welding part between the sample pipes.

In one possible implementation, the determining the sample weld defect type of the plurality of sample tubes based on the third preset number of target weld defect types includes:

determining the connection sequence of a plurality of sample tubes, and randomly selecting one target weld defect type from the third preset number of target weld defect types as the sample weld defect type of any two adjacent sample tubes in the connection sequence.

In one possible implementation manner, the determining the sample tube diameter, the sample tube wall thickness and the sample material of the plurality of sample tubes based on the plurality of target tube diameters, the corresponding target tube wall thicknesses and the second preset number of target materials includes:

determining the same number of sampling pipes as the target pipe diameters;

determining that the sample pipe diameter of each sampling pipe is one target pipe diameter of the target pipe diameters respectively;

determining the sample pipe wall thickness of each sampling pipe as the target pipe wall thickness corresponding to the sample pipe diameter of the sampling pipe;

For each sampling tube, randomly selecting a target material from the second preset number of target materials as a sample material of the sampling tube.

In one possible implementation manner, for each inner corrosion parameter, clustering is performed based on a plurality of parameter values corresponding to the inner corrosion parameter to obtain center parameter values corresponding to a plurality of clustering centers, including:

And for each inner corrosion parameter, carrying out clustering processing on a plurality of parameter values corresponding to the inner corrosion parameter based on the preset clustering category number, the preset initial clustering center parameter value and the preset iteration number of the inner corrosion parameter to obtain center parameter values corresponding to a plurality of clustering centers.

In one possible implementation manner, the determining, based on the plurality of central parameter values corresponding to each inner corrosion parameter, sample parameter values corresponding to all preset inner corrosion parameters for each sampling tube includes:

determining a plurality of parameter value combinations based on a plurality of central parameter values corresponding to each inner corrosion parameter, each parameter value combination consisting of one central parameter value of all inner corrosion parameters;

for each sampling tube, randomly selecting a target parameter value combination from the parameter value combinations as a sample parameter value of the sampling tube corresponding to all preset inner corrosion parameters.

In one possible implementation, the preset endocarp parameters include: the inner corrosion length, the inner corrosion width, the inner corrosion depth, the clock direction, the inner corrosion type and the inner corrosion projection shape of the gas pipeline.

In one aspect, an apparatus for determining a gas line sample is provided, the apparatus comprising:

The first determining module is used for determining the number of the gas pipelines with the pipe diameter within each preset pipe diameter range in a used gas pipeline set for conveying the target medium and determining the number of the gas pipelines with each material;

the second determining module is used for determining the proportion of the number of the gas pipelines in the pipe diameter range in the total number of the gas pipelines in the gas pipeline set for each pipe diameter range;

the third determining module is used for determining a first preset number of target pipe diameter ranges with the largest corresponding proportion and determining the pipe diameter of each gas pipeline included in the target pipe diameter ranges;

A fourth determining module, configured to determine an intersection of a pipe diameter of each gas pipeline included in the target pipe diameter range and a preset plurality of pipe diameters, to obtain a plurality of target pipe diameters;

a fifth determining module, configured to determine a second preset number of target materials with the largest corresponding number;

a sixth determining module, configured to determine a plurality of pipe wall thicknesses corresponding to each target pipe diameter based on a correspondence between the pipe diameters and the pipe wall thicknesses stored in advance;

A seventh determining module, configured to determine, for each target pipe diameter, in the gas pipe set, a number of gas pipes having the target pipe diameter and any pipe wall thickness corresponding to the target pipe diameter, obtain a number corresponding to each pipe wall thickness corresponding to the target pipe diameter, and determine a pipe wall thickness with a maximum corresponding number as a target pipe wall thickness corresponding to the target pipe diameter;

An eighth determining module, configured to determine a sample pipe diameter, a sample pipe wall thickness, and a sample material of the plurality of sample pipes based on the plurality of target pipe diameters, the corresponding target pipe wall thicknesses, and the second preset number of target materials;

The acquisition module is used for acquiring parameter values of preset internal corrosion parameters of each gas pipeline in the gas pipeline set;

a ninth determining module, configured to perform clustering processing on each inner corrosion parameter based on a plurality of parameter values corresponding to the inner corrosion parameter, and determine center parameter values corresponding to a plurality of clustering centers;

a tenth determining module, configured to determine, based on a plurality of central parameter values corresponding to each inner corrosion parameter, sample parameter values corresponding to all preset inner corrosion parameters for each sample tube;

In one possible implementation, the apparatus further includes:

An eleventh determination module for determining the number of gas pipelines of each weld defect type among the used gas pipeline sets for conveying the target medium;

A twelfth determining module, configured to determine a third preset number of target weld defect types with the largest corresponding number;

A thirteenth determination module for determining sample weld defect types for the plurality of sample tubes based on the third preset number of target weld defect types;

In one possible implementation manner, the thirteenth determining module is configured to:

In one possible implementation manner, the eighth determining module is configured to:

determining the same number of sampling pipes as the target pipe diameters;

In one possible implementation manner, the ninth determining module is configured to:

In one possible implementation manner, the tenth determining module is configured to:

The technical scheme provided by the embodiment of the application has the beneficial effects that:

according to the method provided by the embodiment of the application, the multiple target pipe diameters are obtained through a first preset number of target pipe diameter ranges with the largest proportion of the number of the gas transmission pipes in the pipe diameter range in the total number of the gas transmission pipes in the gas transmission pipe set and intersection of the pipe diameters of all the gas transmission pipes included in the target pipe diameter ranges and the preset multiple pipe diameters. And obtaining the corresponding target pipe wall thickness through the number of the gas pipelines with the target pipe diameter and any pipe wall thickness corresponding to the target pipe diameter and the corresponding number of each pipe wall thickness corresponding to the target pipe diameter. And obtaining a second preset number of target materials through a second preset number of materials with the largest number of gas pipelines of each material. And determining the sample pipe diameters, the sample pipe wall thicknesses and the sample materials of the plurality of sample pipes according to the plurality of target pipe diameters, the corresponding target pipe wall thicknesses and the second preset number of target materials. And acquiring parameter values of preset inner corrosion parameters of each gas transmission pipeline, and clustering to obtain sample parameter values of all preset inner corrosion parameters corresponding to each sampling pipe. The obtained sample parameter values of the sample pipe diameter, the sample pipe wall thickness, the sample material and the preset internal corrosion parameter are used for producing the sample pipe, the sample pipe is more similar to an actual gas pipeline, the internal corrosion condition of the actual gas pipeline is simulated through the sample pipe, and the sample pipe is used for detecting the defect detection rate of the internal corrosion defect nondestructive detection technology, so that the more accurate defect detection rate can be obtained.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flowchart of a method for determining a gas line sample according to an embodiment of the present application;

FIG. 2 is a schematic view of a combined sampling tube for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 3 is a schematic view of a ZG-1 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 4 is a schematic view of a ZG-2 straight pipe section structure for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 5 is a schematic view of a ZG-3 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 6 is a schematic view of a ZG-4 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 7 is a schematic view of a ZG-5 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 8 is a schematic view of a ZG-6 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 9 is a schematic view of a ZG-7 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 10 is a schematic view of a ZG-8 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 11 is a schematic view of a ZG-9 straight pipe section structure for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 12 is a schematic view of a Z-H1A straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 13 is a schematic view of a Z-H2B straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 14 is a schematic view of a Z-H3D straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 15 is a schematic view of a Z-H4E straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 16 is a schematic view of a Z-H5G straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 17 is a schematic view of a Z-V1C straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 18 is a schematic view of a Z-V2F straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 19 is a schematic view of a Z-W1 elbow pipe section for determining a gas line sample according to an embodiment of the present application;

FIG. 20 is a schematic view of a Z-W2 elbow pipe section for determining a gas line sample according to an embodiment of the present application;

Fig. 21 is a schematic structural diagram of an apparatus for determining a gas pipeline sample according to an embodiment of the present application.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail with reference to the accompanying drawings.

The method provided by the embodiment of the application can be applied to the technical field of gas pipelines. The method is particularly used for determining the gas pipeline sample. Taking a large number of natural gas transmission pipeline specifications at home and abroad as a data basis, selecting a gas transmission pipeline with universal gas transmission pipeline specifications as a specification of a sampling pipe, wherein the gas transmission pipeline specifications comprise: pipe diameter, pipe wall thickness and material. And obtaining the sample pipe diameter according to the number of the gas pipelines in each preset pipe diameter range and the intersection of the pipe diameters of the gas pipelines included in the target pipe diameter range and the preset pipe diameters. And obtaining the sample pipe wall thickness based on the corresponding relation between the pipe diameter and the pipe wall thickness stored in advance and the corresponding number of each pipe wall thickness corresponding to the pipe diameter. According to the number of the gas transmission pipelines of each material, the corresponding preset number of materials with the largest number are sample materials. And clustering each internal corrosion parameter according to the parameter value of the preset internal corrosion parameter of each gas transmission pipeline to obtain the sample parameter value of the preset internal corrosion parameter. And obtaining a preset number of weld defect types with the largest corresponding number, namely the sample weld defect type, according to the number of the gas transmission pipelines with each weld defect type. And finally, using the obtained sample parameter values of the sample pipe diameter, the sample pipe wall thickness, the sample material and the preset internal corrosion parameter to produce a sample pipe, simulating the internal corrosion condition of an actual gas pipeline through the sample pipe, and detecting the defect detection rate of the internal corrosion defect nondestructive detection technology by the sample pipe.

FIG. 1 is a flowchart of a method for determining a gas line sample according to an embodiment of the present application. Referring to fig. 1, this embodiment includes:

101. and in the used gas pipeline set for conveying the target medium, determining the number of gas pipelines with the pipe diameter within each preset pipe diameter range, and determining the number of gas pipelines with each material.

102. For each pipe diameter range, determining the proportion of the number of the gas pipelines in the pipe diameter range in the total number of the gas pipelines in the gas pipeline set.

103. Determining a first preset number of target pipe diameter ranges with the largest corresponding proportion, and determining the pipe diameter of each gas pipeline included in the target pipe diameter ranges.

104. Determining the intersection of the pipe diameters of the gas pipelines included in the target pipe diameter range and a plurality of preset pipe diameters to obtain a plurality of target pipe diameters.

105. And determining a second preset number of target materials with the largest corresponding number.

106. And determining a plurality of pipe wall thicknesses corresponding to each target pipe diameter based on the corresponding relation between the pipe diameter and the pipe wall thickness stored in advance.

107. For each target pipe diameter, determining the number of the gas pipelines which have the target pipe diameter and any pipe wall thickness corresponding to the target pipe diameter in the gas pipeline set, obtaining the corresponding number of each pipe wall thickness corresponding to the target pipe diameter, and determining the pipe wall thickness with the largest corresponding number as the target pipe wall thickness corresponding to the target pipe diameter.

108. And determining the sample pipe diameters, the sample pipe wall thicknesses and the sample materials of the plurality of sample pipes based on the plurality of target pipe diameters, the corresponding target pipe wall thicknesses and the second preset number of target materials.

109. And acquiring parameter values of preset inner corrosion parameters of each gas transmission pipeline in the gas transmission pipeline set.

110. And for each inner corrosion parameter, carrying out clustering processing based on a plurality of parameter values corresponding to the inner corrosion parameter, and determining center parameter values corresponding to a plurality of clustering centers.

111. And determining sample parameter values corresponding to all preset inner corrosion parameters of each sampling tube based on a plurality of central parameter values corresponding to each inner corrosion parameter.

The sample parameter values of the sample pipe diameter, the sample pipe wall thickness, the sample material and the preset inner corrosion parameters corresponding to each sample pipe are used for producing the sample pipe, and the sample pipe is used for detecting the defect detection rate of the inner corrosion defect nondestructive detection technology.

The technical scheme provided by the embodiment of the application has the beneficial effects that at least:

Wherein the conveying target medium is a conveying medium containing sulfur gas.

The gas transmission pipelines of the used conveying target medium in a certain area are taken as a set, the related data of the gas transmission pipelines in the set are counted, and the area can be considered to represent the common conditions of the gas transmission pipeline specifications at home and abroad and the corrosion in the gas transmission pipelines.

For example, the pipe diameters of 755 gas pipes in a certain area and the corresponding numbers of each material are counted, as shown in tables 1 and 2 below, table 1 is a table of pipe diameters, pipe diameters and pipe diameter ratio of gas pipes in a set of gas pipes for which the transport target medium has been used, and table 2 is a table of materials, material numbers and material ratio of gas pipes in a set of gas pipes for which the transport target medium has been used.

TABLE 1

As shown in Table 1, the pipe diameters of 34 kinds are 34, the pipe diameter is 58 mm at minimum and 610 mm at maximum, wherein 516 gas pipelines with the pipe diameter less than or equal to 108 mm are provided, 181 gas pipelines with the pipe diameter between 108 mm and 219 mm are provided, 49 gas pipelines with the pipe diameter between 219 mm and 406 mm are provided, and 9 gas pipelines with the pipe diameter greater than 406 mm are provided.

TABLE 2

As can be seen from Table 2, there are 16 pipe diameters, wherein the more materials used are 20# L245NB, L360QS, L245NCS and L360NCS, respectively, which account for 70.91%, 14.00%, 10.91%, 9.64% and 1.45% of the total number of gas pipes in the gas pipe assembly.

As is clear from table 1, the proportion of the number of gas pipes having a pipe diameter of 108 mm or less in the total number of gas pipes of the gas pipe aggregate is 68%, the proportion of the number of gas pipes having a pipe diameter of 108 mm to 219 mm in the total number of gas pipes of the gas pipe aggregate is 25%, the proportion of the number of gas pipes having a pipe diameter of 219 mm to 406 mm in the total number of gas pipes of the gas pipe aggregate is 6%, and the proportion of the number of gas pipes having a pipe diameter of more than 406 mm in the total number of gas pipes of the gas pipe aggregate is less than 1%.

From step 102, the following can be concluded: in the gas pipeline set, the range of the target pipe diameter with the maximum corresponding proportion is determined to be less than or equal to 273 mm.

Wherein, a plurality of pipe diameters of predetermineeing refer to a plurality of pipe diameters that can represent actual gas pipeline typical pipe diameter circumstances, for example, typical pipe diameter includes: 89 mm, 108 mm, 159 mm, 219 mm, 273 mm 325 mm, etc.

In practice, 89 mm, 108 mm, 159 mm, 219 mm and 273 mm are determined as target pipe diameters based on intersections obtained by pipe diameters of the respective gas pipelines included in the target pipe diameter range of 273 mm or less and a predetermined plurality of pipe diameters.

From Table 2, it can be determined that the corresponding maximum number of 5 textures are 20#, L245NB, L360QS, L245NCS, and L360NCS, respectively.

In implementation, the correspondence between the pipe diameters and the pipe wall thicknesses is pre-stored, and the pipe wall thicknesses corresponding to the pipe diameters of 89 mm, 108 mm, 159 mm, 219 mm and 273 mm are determined, as shown in tables 3, 4, 5, 6 and 7, where table 3 is a pipe wall thickness table corresponding to the pipe diameter of 89 mm, table 4 is a pipe wall thickness table corresponding to the pipe diameter of 108 mm, table 5 is a pipe wall thickness table corresponding to the pipe diameter of 159 mm, table 6 is a pipe wall thickness table corresponding to the pipe diameter of 219 mm, and table 7 is a pipe wall thickness table corresponding to the pipe diameter of 273 mm.

TABLE 3 Table 3

TABLE 4 Table 4

TABLE 5

TABLE 6

TABLE 7

In practice, as is clear from table 3, for a pipe diameter of 89 mm, in this gas pipe set, the number of gas pipes having a pipe diameter of 89 mm and any pipe wall thickness corresponding to the pipe diameter of mm can be obtained, and further, the ratios of the number of gas pipes having pipe wall thicknesses of 5mm, 6 mm, 7 mm, and 8mm to the total number of gas pipes in the gas pipe set are 35.53%, 21.63%, 20.97%, and 8.26%, respectively, and 5mm, 6 mm, 7 mm, and 8mm are taken as target pipe wall thicknesses corresponding to the pipe diameters of 89 mm.

In practice, as is clear from table 4, for a pipe diameter of 108 mm, in this gas pipe set, the number of gas pipes having a pipe diameter of 89 mm and any pipe wall thickness corresponding to the pipe diameter of mm can be obtained, and further, the ratios of the number of gas pipes having pipe wall thicknesses of 5mm, 6mm, 7mm, 8 mm and 10 mm in the total number of gas pipes of this gas pipe set are 18.41%, 27.61%,22.93%, 19.27% and 9.75%, respectively, and 5mm, 6mm, 7mm, 8 mm and 10 mm are taken as target pipe wall thicknesses corresponding to the pipe diameters of 108 mm.

In practice, as is clear from table 5, for a pipe diameter of 108 mm, in this gas pipe set, the number of gas pipes having a pipe diameter of 89 mm and any pipe wall thickness corresponding to the pipe diameter of mm can be obtained, and further, the ratios of the number of gas pipes having pipe wall thicknesses of 5mm, 6mm, 7mm, 8 mm and 10 mm in the total number of gas pipes of this gas pipe set are 18.41%, 27.61%,22.93%, 19.27% and 9.75%, respectively, and 5mm, 6mm, 7mm, 8 mm and 10 mm are taken as target pipe wall thicknesses corresponding to the pipe diameters of 108 mm.

In practice, as is clear from table 6, for a pipe diameter of 159 mm, in this gas pipe set, the number of gas pipes having a pipe diameter of 89 mm and any pipe wall thickness corresponding to the pipe diameter of mm can be obtained, and further, the ratios of the numbers of gas pipes having pipe wall thicknesses of 5mm, 6mm, 7mm and 8 mm to the total number of gas pipes in the gas pipe set are 12.92%, 38.77%, 24.52% and 18.80%, respectively, and 5mm, 6mm, 7mm and 8 mm are regarded as target pipe wall thicknesses corresponding to the pipe diameters of 159 mm.

In practice, as is clear from table 6, for a pipe diameter of 159 mm, in this gas pipe set, the number of gas pipes having a pipe diameter of 89 mm and any pipe wall thickness corresponding to the pipe diameter of mm can be obtained, and further, the ratios of the numbers of gas pipes having pipe wall thicknesses of 6 mm, 7 mm, 8 mm, 8.8 mm and 10mm to the total number of gas pipes in this gas pipe set are 19.41%, 15.98%, 30.14%, 9.36% and 7.31%, respectively, and the pipe wall thicknesses of 6 mm, 7 mm, 8 mm, 8.8 mm and 10mm are targeted.

In practice, as can be seen from table 7, for a pipe diameter of 273 mm, in this gas pipe set, the number of gas pipes having a pipe diameter of 89 mm and any pipe wall thickness corresponding to the pipe diameter of mm can be obtained, and further, the ratios of the number of gas pipes having pipe wall thicknesses of 6 mm, 7 mm, 8 mm, 10mm and 11 mm to the total number of gas pipes in this gas pipe set are 13.92%, 11.39%, 21.52%, 16.46% and 12.66%, respectively, and the pipe diameters of 6 mm, 7 mm, 8 mm, 10mm and 11 mm are corresponding to the target pipe wall thicknesses.

In the implementation, the same number of the sampling pipes as the target pipe diameters are determined, the sample pipe diameter of each sampling pipe is determined to be one target pipe diameter of the target pipe diameters, the sample pipe wall thickness of each sampling pipe is determined to be the target pipe wall thickness corresponding to the sample pipe diameter of the sampling pipe, and for each sampling pipe, one target material is randomly selected from the second preset number of target materials to be used as the sample material of the sampling pipe.

The pipe is mainly composed of a straight pipe section, an elbow pipe section and a welding seam.

For example, as shown in table 8 below, table 8 is a table of tube diameters and tube wall thicknesses for each tube segment of a sample tube having a sample material of 20 #. Wherein, the pipe section numbers A-G are straight pipe sections, the pipe section numbers W1-W5 are elbow pipe sections, the pipe section numbers BJ are reducer pipe sections, the pipe diameter change is 159 mm to 108 mm, and the pipe section numbers H1-H14 are welding seams. A technician can weld and assemble the straight pipe sections A-G, the elbow pipe sections W1-W5 and the reducer pipe section BJ into a pipe according to the structure shown in FIG. 2, and at this time, the pipe can be called a combined pipe, and FIG. 2 is a schematic diagram of the combined pipe for determining a gas pipeline sample according to the embodiment of the application.

TABLE 8

In practice, the sample material can also be used for direct welding and assembling into a straight sample tube.

For example, as shown in the following table 9, table 9 is a table of pipe diameters and pipe wall thicknesses corresponding to straight pipe sections of a sample pipe having a sample material of 20 #. Wherein, the pipe section numbers ZG1-ZG9 are all straight pipe sections.

TABLE 9

Wherein the preset inner corrosion parameters include: the gas pipeline has inner corrosion length, inner corrosion width, inner corrosion depth, clock orientation, inner corrosion type and inner corrosion projection shape. For example, the type of inner etch includes flake-like etch, irregular pits, uniform thinning, cracks, and the like, and the projected shape of the inner etch includes bar-like and approximately elliptical, and the like.

In implementation, for each inner corrosion parameter, based on the preset clustering category number, the preset initial clustering center parameter value and the preset iteration number of the inner corrosion parameter, clustering is performed on a plurality of parameter values corresponding to the inner corrosion parameter, so as to obtain center parameter values corresponding to a plurality of clustering centers.

The preset cluster type number refers to the final cluster type number of various inner corrosion parameters, and a proper cluster type number can fully represent the difference between different clusters, so that a plurality of parameter values of the inner corrosion parameters in the same cluster have similar properties. The initial cluster center parameter value refers to the initial cluster center of the various inner erosion parameters. After the cluster type number is determined, a plurality of parameter values are required to be respectively determined as initial cluster center parameter values for a plurality of inner corrosion parameters, and the number of the plurality of parameter values is the same as the cluster type number. The iteration number refers to the number of times of changing the cluster center, and when the cluster center is not changed any more, the clustering process is ended. Clustering refers to the process of grouping a collection of abstract objects into multiple classes made up of similar objects. The clustering method includes a plurality of methods, such as a K-means (fast) clustering method, a Two-Step (Two-stage) clustering method, and the like, and the embodiment of the application does not limit the clustering method used in the clustering.

In one possible implementation, for each corrosion parameter, after clustering, a central parameter value corresponding to a plurality of clustering centers may be obtained. When the coupon is a combination coupon, as shown in tables 10 to 18, table 10 is a Z-H1A section straight pipe section inner corrosion parameter clustering treatment condition table, table 11 is a Z-H2B section straight pipe section inner corrosion parameter clustering treatment condition table, table 12 is a Z-H3D section straight pipe section inner corrosion parameter clustering treatment condition table, table 13 is a Z-H4E section straight pipe section inner corrosion parameter clustering treatment condition table, table 14 is a Z-H5G section straight pipe section inner corrosion parameter clustering treatment condition table, table 15 is a Z-V1C section straight pipe section inner corrosion parameter clustering treatment condition table, table 16 is a Z-V2F section straight pipe section inner corrosion parameter clustering treatment condition table, table 17 is a Z-W1 elbow pipe section inner corrosion parameter clustering treatment condition table, and table 18 is a Z-W2 elbow pipe section inner corrosion parameter clustering treatment condition table.

Table 10

TABLE 11

Table 12

TABLE 13

TABLE 14

TABLE 15

Table 16

TABLE 17

TABLE 18

It should be noted that, because the elbow section is also easily affected by the erosion of the conveying medium, the shape analysis of the corrosion in the elbow, that is, the multiphase flow erosion wear simulation analysis can be performed to obtain the distribution characteristics of the area where the corrosion occurs. The simulation analysis includes: and (3) simulating gas-solid two-phase erosion of the elbow under different pipe diameters, simulating gas-solid two-phase erosion of the elbow under different gathering and transportation pressures, and simulating gas-liquid-solid multiphase erosion.

For example, when gas-solid two-phase erosion simulation is performed on elbows with different pipe diameters, elbows with pipe diameters of 65 mm, 80 mm, 100 mm, 125 mm and 200 mm respectively can be calculated, and the abrasion rates of front and rear straight pipe sections connected with the elbows when the elbows bear erosion of natural gas and a large amount of solid particles in a conveying medium, wherein the flow direction of the conveying medium is a horizontal pipe, the elbows and a vertical pipe in sequence. Based on this simulation, the following conclusions can be drawn: for five simulated elbows, the upstream straight pipe section is not worn, the most worn area is positioned on the outer side wall surface of the elbow and is close to the outlet position of the elbow, the downstream straight pipe section of the elbow is provided with scattered worn areas, the worn areas on the outer side wall surface of the elbow are approximately symmetrically distributed along the axis, and the worn areas are in strip shapes and the direction of the worn areas is along the flowing direction of the conveying medium.

For example, when gas-solid two-phase erosion simulation of the elbow is carried out under different gathering and conveying pressures, corresponding models are established by using simulation software, and gas pipelines with gathering and conveying pressures of 1.0MPa, 3.0MPa, 7.0MPa and 9.0MPa are simulated, so that when gas-solid two-phase flow media are conveyed, a large number of solid particles impact the erosion and abrasion rules of the wall surface of the elbow. Based on this simulation, the following conclusions can be drawn: in the low-pressure gas collecting pipeline, the total area of the elbow suffering from erosion is not changed greatly along with the gradual increase of the collecting and conveying pressure, when the collecting and conveying pressure is increased to 5.0MPa, the position where the maximum wear rate correspondingly appears is moved back to the outlet of the elbow, when the collecting and conveying pressure is continuously increased to 7.0MPa or higher, the worn area of the elbow is changed drastically, and the area suffering from serious erosion is transferred from the outer side wall surface to the middle rear part of the inner side of the elbow.

For example, when performing gas-liquid-solid multiphase erosion simulations, elbow wear characteristics at different water contents in the conveying medium are simulated. Based on this simulation, the following conclusions can be drawn: under the condition of different water contents, the most worn area of the elbow is positioned at the outlet position of the outer side wall surface of the elbow, and the lower the water content in the gas-liquid-solid multiphase conveying medium is, the more serious the erosion and wear are caused to the elbow within the water content range, namely the water content range is 2.75-21.39%.

In one possible implementation, for each corrosion parameter, after clustering, a central parameter value corresponding to a plurality of clustering centers may be obtained. When the coupon is a straight coupon, as shown in tables 19 to 27, table 19 is a ZG-1 section straight pipe section inner corrosion parameter clustering treatment condition table, table 20 is a ZG-2 section straight pipe section inner corrosion parameter clustering treatment condition table, table 21 is a ZG-3 section straight pipe section inner corrosion parameter clustering treatment condition table, table 22 is a ZG-4 section straight pipe section inner corrosion parameter clustering treatment condition table, table 23 is a ZG-5 section straight pipe section inner corrosion parameter clustering treatment condition table, table 24 is a ZG-6 section straight pipe section inner corrosion parameter clustering treatment condition table, table 25 is a ZG-7 section straight pipe section inner corrosion parameter clustering treatment condition table, table 26 is a ZG-8 section straight pipe section inner corrosion parameter clustering treatment condition table, and table 27 is a ZG-9 section straight pipe section inner corrosion parameter clustering treatment condition table.

TABLE 19

Table 20

Table 21

Table 22

Table 23

Table 24

Table 25

Table 26

Table 27

In an implementation, a plurality of parameter value combinations are determined based on a plurality of central parameter values corresponding to each inner corrosion parameter, each parameter value combination is composed of one central parameter value of all inner corrosion parameters, and for each sampling tube, one target parameter value combination is randomly selected from the plurality of parameter value combinations as a sample parameter value of all preset inner corrosion parameters corresponding to the sampling tube. See tables 10-27 above for details and are not repeated here.

According to the sample pipe diameter, sample pipe wall thickness, sample material and sample parameter values of the preset inner corrosion parameters corresponding to each sample pipe obtained in the steps 101-111, as production parameters of the sample pipes, to produce the corresponding sample pipes, the specific specifications of the sample pipes are shown in fig. 3-20, fig. 3 is a schematic view of a ZG-1 straight pipe section structure for determining a gas pipeline sample provided by the embodiment of the application, fig. 4 is a schematic view of a ZG-2 straight pipe section structure for determining a gas pipeline sample provided by the embodiment of the application, fig. 5 is a schematic view of a ZG-3 straight pipe section structure for determining a gas pipeline sample provided by the embodiment of the application, fig. 6 is a schematic view of a ZG-4 straight pipe section structure for determining a gas pipeline sample provided by the embodiment of the application, FIG. 7 is a schematic view of a ZG-5 straight pipe section for determining a gas pipe sample according to an embodiment of the present application, FIG. 8 is a schematic view of a ZG-6 straight pipe section for determining a gas pipe sample according to an embodiment of the present application, FIG. 9 is a schematic view of a ZG-7 straight pipe section for determining a gas pipe sample according to an embodiment of the present application, FIG. 10 is a schematic view of a ZG-8 straight pipe section for determining a gas pipe sample according to an embodiment of the present application, FIG. 11 is a schematic view of a ZG-9 straight pipe section for determining a gas pipe sample according to an embodiment of the present application, FIG. 12 is a schematic view of a Z-H1A straight pipe section for determining a gas pipe sample according to an embodiment of the present application, FIG. 13 is a schematic view of a Z-H2B straight pipe section for determining a gas pipe sample according to an embodiment of the present application, fig. 14 is a schematic view of a Z-H3D straight pipe section structure for determining a gas pipeline sample according to an embodiment of the present application, fig. 15 is a schematic view of a Z-H4E straight pipe section structure for determining a gas pipeline sample according to an embodiment of the present application, fig. 16 is a schematic view of a Z-H5G straight pipe section structure for determining a gas pipeline sample according to an embodiment of the present application, fig. 17 is a schematic view of a Z-V1C straight pipe section structure for determining a gas pipeline sample according to an embodiment of the present application, fig. 18 is a schematic view of a Z-V2F straight pipe section structure for determining a gas pipeline sample according to an embodiment of the present application, fig. 19 is a schematic view of a Z-W1 elbow pipe section structure for determining a gas pipeline sample according to an embodiment of the present application, and fig. 20 is a schematic view of a Z-W2 elbow pipe section structure for determining a gas pipeline sample according to an embodiment of the present application. The sampling tube is used for simulating the corrosion condition in an actual gas pipeline and detecting the defect detection rate of the nondestructive testing technology of the corrosion defect, so that the technology has better applicability in field operation.

In addition to the sample pipe diameters, the sample pipe wall thicknesses, the sample materials and the sample parameter values of the preset inner corrosion parameters determined in the steps 101-111, the embodiment of the application further comprises determining the sample weld defect types of a plurality of sample pipes because the weld joints exist at the welding positions among the actual gas transmission pipelines and correspondingly the weld joints exist at the welding positions among the produced sample pipes.

In the implementation, in the used gas pipeline set for conveying the target medium, determining the number of gas pipelines with each weld defect type, determining a third preset number of target weld defect types with the largest corresponding number, and determining sample weld defect types of a plurality of sampling pipes based on the third preset number of target weld defect types.

The sample weld defect types comprise the types of unfused, incomplete penetration, slag inclusion, cracks and the like, and the welding positions of the sample weld defects are connected through weld joints.

For example, among the set of gas pipelines that have been used to convey the target medium, the most corresponding number of target weld defect types are determined to be unfused, incomplete, slag-laden, cracked, and gas-hole types.

In one possible implementation, the specific process of determining the sample weld defect type for the plurality of coupons may be: determining the connection sequence of a plurality of sample tubes, and randomly selecting one target weld defect type from the third preset number of target weld defect types as the sample weld defect type of any two adjacent sample tubes in the connection sequence.

For example, as shown in Table 28 below, table 28 is a weld defect type combination case table. One weld defect type combination may be randomly selected in table 28 as a sample weld defect type for any two adjacent coupons.

Table 28

Weld numbering	Weld defect type combination	Weld numbering	Weld defect type combination
				H1	Incomplete penetration, slag inclusion and cracking	H8	Lack of penetration and cracking
H2	Unfused, air holes and cracks	H9	Unfused and cracked
				H3	Slag inclusion, air holes, lack of penetration	H10	Unfused, air holes and cracks
H4	Lack of penetration, porosity, cracking	H11	Unfused, slag-clamping and cracking
				H5	Unfused, slag-clamping and cracking	H12	Air holes, cracks and slag inclusion
H6	Air holes, slag inclusions and cracks	H13	Slag inclusion, cracking and lack of penetration
				H7	Cracking and air hole	H14	Unfused, slag-clamping and cracking

Any combination of the above optional solutions may be adopted to form an optional embodiment of the present application, which is not described herein.

Fig. 21 is a schematic structural diagram of an apparatus for determining a gas pipeline sample according to an embodiment of the present application. Referring to fig. 21, the apparatus includes:

A first determining module 2101, configured to determine, among a set of gas pipelines for conveying a used target medium, the number of gas pipelines having a pipe diameter within each preset pipe diameter range, and determine the number of gas pipelines of each material;

A second determining module 2102, configured to determine, for each pipe diameter range, a proportion of the number of gas pipes in the pipe diameter range to the total number of gas pipes in the gas pipe set;

A third determining module 2103, configured to determine a first preset number of target pipe diameter ranges with the largest corresponding proportion, and determine pipe diameters of the gas pipelines included in the target pipe diameter ranges;

A fourth determining module 2104, configured to determine an intersection of a pipe diameter of each gas pipeline included in the target pipe diameter range and a preset plurality of pipe diameters, to obtain a plurality of target pipe diameters;

A fifth determining module 2105, configured to determine a second preset number of target textures having the largest corresponding number;

A sixth determining module 2106, configured to determine a plurality of pipe wall thicknesses corresponding to each target pipe diameter based on a correspondence between prestored pipe diameters and pipe wall thicknesses;

A seventh determining module 2107, configured to determine, for each target pipe diameter, in the gas pipe set, a number of gas pipes having the target pipe diameter and any pipe wall thickness corresponding to the target pipe diameter, obtain a number corresponding to each pipe wall thickness corresponding to the target pipe diameter, and determine a pipe wall thickness with a maximum corresponding number as a target pipe wall thickness corresponding to the target pipe diameter;

An eighth determining module 2108, configured to determine a sample tube diameter, a sample tube wall thickness, and a sample material of the plurality of sample tubes based on the plurality of target tube diameters, the corresponding target tube wall thicknesses, and the second preset number of target materials;

the acquisition module 2109 is used for acquiring parameter values of preset inner corrosion parameters of each gas transmission pipeline in the gas transmission pipeline set;

A ninth determining module 2110, configured to, for each inner corrosion parameter, perform clustering processing based on a plurality of parameter values corresponding to the inner corrosion parameter, and determine center parameter values corresponding to a plurality of cluster centers;

a tenth determining module 2111, configured to determine, based on a plurality of central parameter values corresponding to each inner corrosion parameter, sample parameter values corresponding to all preset inner corrosion parameters for each sample tube;

In one possible implementation, the apparatus further includes:

the sample weld defect type is used for processing a weld joint of a welding part between the sample pipes.

In one possible implementation, the eighth determining module 2108 is configured to:

Determining the same number of sampling pipes as the target pipe diameters;

determining the sample pipe diameter of each sampling pipe as one target pipe diameter of the target pipe diameters respectively;

determining the thickness of a sample tube wall of each sampling tube as a target tube wall thickness corresponding to the sample tube diameter of the sampling tube;

In one possible implementation manner, the ninth determining module 2110 is configured to:

In one possible implementation, the tenth determining module 2111 is configured to:

for each sampling tube, randomly selecting a target parameter value combination from the plurality of parameter value combinations as a sample parameter value of the sampling tube corresponding to all preset inner corrosion parameters.

In one possible implementation, the preset endocarp parameters include: the gas pipeline has inner corrosion length, inner corrosion width, inner corrosion depth, clock orientation, inner corrosion type and inner corrosion projection shape.

According to the device provided by the embodiment of the application, the multiple target pipe diameters are obtained through the first preset number of target pipe diameter ranges with the largest proportion of the number of the gas transmission pipes in the pipe diameter range in the total number of the gas transmission pipes in the gas transmission pipe set and the intersection of the pipe diameters of the gas transmission pipes included in the target pipe diameter ranges and the preset multiple pipe diameters. And obtaining the corresponding target pipe wall thickness through the number of the gas pipelines with the target pipe diameter and any pipe wall thickness corresponding to the target pipe diameter and the corresponding number of each pipe wall thickness corresponding to the target pipe diameter. And obtaining a second preset number of target materials through a second preset number of materials with the largest number of gas pipelines of each material. And determining the sample pipe diameters, the sample pipe wall thicknesses and the sample materials of the plurality of sample pipes according to the plurality of target pipe diameters, the corresponding target pipe wall thicknesses and the second preset number of target materials. And acquiring parameter values of preset inner corrosion parameters of each gas transmission pipeline, and clustering to obtain sample parameter values of all preset inner corrosion parameters corresponding to each sampling pipe. The obtained sample parameter values of the sample pipe diameter, the sample pipe wall thickness, the sample material and the preset internal corrosion parameter are used for producing the sample pipe, the sample pipe is more similar to an actual gas pipeline, the internal corrosion condition of the actual gas pipeline is simulated through the sample pipe, and the sample pipe is used for detecting the defect detection rate of the internal corrosion defect nondestructive detection technology, so that the more accurate defect detection rate can be obtained.

It should be noted that: the apparatus for determining a gas pipeline sample provided in the foregoing embodiment is only exemplified by the division of the foregoing functional modules when determining a gas pipeline sample, and in practical application, the foregoing functional allocation may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to perform all or part of the functions described above. In addition, the device for determining the gas pipeline sample provided in the foregoing embodiment belongs to the same concept as the method embodiment for determining the gas pipeline sample, and the specific implementation process of the device is detailed in the method embodiment and is not described herein again.

The foregoing description of the preferred embodiments of the application is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the application.

Claims

1. A method of determining a gas line sample, the method comprising:

determining the same number of sampling pipes as the target pipe diameters;

For each sampling tube, randomly selecting a target material from the second preset number of target materials as a sample material of the sampling tube;

Acquiring parameter values of preset inner corrosion parameters of each gas pipeline in the gas pipeline set, wherein the preset inner corrosion parameters comprise: the inner corrosion length, the inner corrosion width, the inner corrosion depth, the clock direction, the inner corrosion type and the inner corrosion projection shape of the gas pipeline;

For each inner corrosion parameter, carrying out clustering processing on a plurality of parameter values corresponding to the inner corrosion parameter based on a preset clustering category number, a preset initial clustering center parameter value and a preset iteration number of the inner corrosion parameter to obtain center parameter values corresponding to a plurality of clustering centers;

For each sampling tube, randomly selecting a target parameter value combination from the parameter value combinations as a sample parameter value of the sampling tube corresponding to all preset inner corrosion parameters;

The sample parameter values of the sample pipe diameter, the sample pipe wall thickness, the sample material and the preset inner corrosion parameters corresponding to each sample pipe are used for producing the sample pipes, and the sample pipes are used for detecting the defect detection rate of the inner corrosion defect nondestructive detection technology;

Determining the connection sequence of a plurality of sampling pipes, and randomly selecting one target weld defect type from the third preset number of target weld defect types for any two adjacent sampling pipes in the connection sequence as a sample weld defect type of the any two adjacent sampling pipes, wherein the sample weld defect type is used for processing a weld at a welding position between the sampling pipes.

2. An apparatus for determining a gas line sample, the apparatus comprising:

an eighth determining module, configured to determine the same number of sampling pipes as the plurality of target pipe diameters; determining that the sample pipe diameter of each sampling pipe is one target pipe diameter of the target pipe diameters respectively; determining the sample pipe wall thickness of each sampling pipe as the target pipe wall thickness corresponding to the sample pipe diameter of the sampling pipe; for each sampling tube, randomly selecting a target material from the second preset number of target materials as a sample material of the sampling tube;

the acquisition module is used for acquiring parameter values of preset inner corrosion parameters of each gas pipeline in the gas pipeline set, wherein the preset inner corrosion parameters comprise: the inner corrosion length, the inner corrosion width, the inner corrosion depth, the clock direction, the inner corrosion type and the inner corrosion projection shape of the gas pipeline;

A ninth determining module, configured to, for each inner corrosion parameter, perform clustering processing on a plurality of parameter values corresponding to the inner corrosion parameter based on a preset cluster category number, a preset initial cluster center parameter value and a preset iteration number of the inner corrosion parameter, so as to obtain center parameter values corresponding to a plurality of cluster centers;

A tenth determining module, configured to determine a plurality of parameter value combinations based on a plurality of central parameter values corresponding to each inner corrosion parameter, each parameter value combination being composed of one central parameter value of all inner corrosion parameters; for each sampling tube, randomly selecting a target parameter value combination from the parameter value combinations as a sample parameter value of the sampling tube corresponding to all preset inner corrosion parameters; the sample parameter values of the sample pipe diameter, the sample pipe wall thickness, the sample material and the preset inner corrosion parameters corresponding to each sample pipe are used for producing the sample pipes, and the sample pipes are used for detecting the defect detection rate of the inner corrosion defect nondestructive detection technology;

a thirteenth determining module, configured to determine a connection sequence of a plurality of sample tubes, and for any two adjacent sample tubes in the connection sequence, randomly select a target weld defect type from the third preset number of target weld defect types, where the target weld defect type is used as a sample weld defect type of the any two adjacent sample tubes, and is used to process a weld at a welding position between the sample tubes.