Pipeline leakage opening detection method and system

Abstract

The invention belongs to the technical field of pipeline defect detection, and particularly relates to a pipeline leakage opening detection method and system. The method comprises the following steps: constructing a detection model, and determining parameters of the detection model; identifying a leakage pipe section in the pipe network; and measuring pipeline information of the leakage pipe section, substituting the pipeline information into the detection model, confirming a pipeline leakage position, and calculating the size of a leakage opening. The size of the pipeline leakage opening is determined through the quantitative relation between the size of the pipeline leakage opening and the downstream friction resistance variation of the leakage point, and the size of the pipeline leakage point is directly determined through the detection method and the experimental device thereof.

Description

Technical Field

[0001] The present invention belongs to the technical field of pipeline defect detection, and in particular relates to a pipeline leakage detection method and system. Background Art

[0002] The total length of oil and gas pipelines built so far has exceeded 95,000 kilometers, and the pipeline transportation volume is large, continuous and rapid. At the same time, as the construction time increases, the pipelines are aging, the frequency of perforation failures is high, and the frequency of leakage is increasing. If pipeline leakage is not handled in time, it is very likely to cause immeasurable economic losses, environmental damage or casualties, and directly threaten people's lives and property safety.

[0003] At present, the pressure distribution method is mostly used to detect pipeline leakage points, and the pipeline leakage situation is analyzed by detecting the changes in the flow and pressure inside the pipeline. The pressure distribution method detection mainly has the advantages of not requiring complex mathematical models, small construction volume, low cost, and convenient maintenance, but it is difficult to meet the requirements of lower false alarm rate, higher sensitivity, and positioning accuracy. At the same time, it is impossible to quickly detect the leaking pipe section from a complex pipe network, and it is impossible to detect the size of the pipeline leakage port so that on-site personnel can make repair plans in advance. Summary of the invention

[0004] In view of the above problems, the present invention provides a pipeline leakage detection method, the method comprising:

[0005] Construct a detection model and determine the parameters of the detection model;

[0006] Identify leaking pipe sections in the pipe network;

[0007] Measure the pipeline information of the leaking pipe section and bring the pipeline information into the detection model to confirm the pipeline leakage location and calculate the leakage size.

[0008] Preferably, the step of constructing a detection model and determining parameters of the detection model includes:

[0009] Select a pipeline with known leak position and leak size to form an experimental pipeline;

[0010] Arrange a pressurizing device and a pressure measuring instrument on the experimental pipeline to measure pipeline information of the experimental pipeline;

[0011] The pipeline information, leak location and leak size of the experimental pipeline are brought into the detection model to confirm the parameters of the detection model.

[0012] Preferably, the pipeline information includes pipeline flow, upstream friction resistance along the pipeline, and downstream friction resistance along the pipeline.

[0013] Preferably, determining the parameters of the detection model further includes:

[0014] Arrange a pressurizing device and a pressure measuring instrument on the pipeline without leakage to measure the pipeline information;

[0015] The pipeline information of the pipeline without leakage is brought into the detection model to verify the parameters of the detection model.

[0016] Preferably, identifying a leaking pipe section in a pipe network comprises:

[0017] Measure the pressure and flow of each pipe section in the pipe network;

[0018] The leaking pipe section is determined based on the changes in pressure and flow of each pipe section over time.

[0019] The present invention provides a pipeline leakage detection system, which includes a construction module, an identification module and a detection module;

[0020] The construction module is used to construct a detection model and determine the parameters of the detection model;

[0021] The identification module is used to identify the leaking pipe section in the pipe network;

[0022] The detection module is used to measure the pipeline information of the leaking pipe section, and bring the pipeline information into the detection model to confirm the pipeline leakage position and calculate the leakage size.

[0023] Preferably, the construction module is used to construct a detection model and determine the parameters of the detection model, including:

[0024] The construction module is used to select pipes with known leak positions and leak sizes and arrange them into experimental pipes;

[0025] Arrange a pressurizing device and a pressure measuring instrument on the experimental pipeline to measure pipeline information of the experimental pipeline;

[0026] The pipeline information, leak location and leak size of the experimental pipeline are brought into the detection model to confirm the parameters of the detection model.

[0027] Preferably, the identification module is used to identify the leaking pipe section in the pipe network, including:

[0028] The identification module is used to measure the pressure and flow of each pipe section in the pipe network;

[0029] The leaking pipe section is determined based on the changes in pressure and flow of each pipe section over time.

[0030] The present invention also provides an electronic device, comprising:

[0031] Processor and memory;

[0032] The processor calls the computer program stored in the memory to execute any one of the above pipeline leakage detection methods.

[0033] The present invention provides a computer-readable storage medium,

[0034] The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor is enabled to execute any one of the above-mentioned pipeline leakage detection methods.

[0035] The present invention has the following beneficial effects:

[0036] The invention determines the size of the pipeline leakage port through the quantitative relationship between the size of the pipeline leakage port and the change of friction resistance along the downstream of the leakage point, and directly determines the size of the pipeline leakage point through the detection method and the experimental device.

[0037] Other features and advantages of the present invention will be described in the following description, and partly become obvious from the description, or be understood by implementing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 A diagram showing a pipeline leakage detection method according to an embodiment of the present invention;

[0040] Figure 2 A diagram showing a pipeline leakage detection device according to an embodiment of the present invention is shown;

[0041] Figure 3 A flow chart showing step S1 in an embodiment of the present invention is shown;

[0042] Figure 4 A flow chart showing step S2 in an embodiment of the present invention is shown;

[0043] Figure 5 A diagram of a pipeline leakage detection system in an embodiment of the present invention is shown;

[0044] Figure 6 An electronic device diagram is shown in an embodiment of the present invention;

[0045] In the figure: 1. Oil extraction container; 2. Pressurizing device; 3. First pressure measuring instrument; 4. Second pressure measuring instrument; 5. Third pressure measuring instrument; 6. Fourth pressure measuring instrument; 7. Experimental pipeline body; 8. Second oil storage container; 9. First oil storage container; 10. First leakage point; 11. Second leakage point; 12. Third leakage point; 13. Fourth leakage point; 14. Fifth leakage point. DETAILED DESCRIPTION

[0046] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as being limited to the examples set forth herein; on the contrary, these embodiments are provided so that the present disclosure will be more comprehensive and complete, and the concepts of the example embodiments are fully conveyed to those skilled in the art. The described features, structures, or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known technical solutions are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0047] In addition, the accompanying drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or implemented in one or more hardware units or integrated circuits, or implemented in different networks and / or processor devices and / or microcontroller devices.

[0048] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the steps. For example, some steps may be decomposed, while some steps may be combined or partially combined, so the actual execution order may change according to the actual situation.

[0049] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example.

[0050] In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or sub-modules is not necessarily limited to those steps or sub-modules explicitly listed, but may include other steps or sub-modules not explicitly listed or inherent to these processes, methods, products, or apparatuses.

[0051] like Figure 1 As shown, the present invention proposes a pipeline leakage detection method, the method comprising:

[0052] S1. Build a detection model and determine the parameters of the detection model;

[0053] include:

[0054] Select a pipeline with known leak position and leak size to form an experimental pipeline;

[0055] Arrange a pressurizing device and a pressure measuring instrument on the experimental pipeline to measure pipeline information of the experimental pipeline;

[0056] The pipeline information, leakage position and leakage size of the experimental pipeline are brought into the detection model to confirm the parameters of the detection model; the pipeline information includes pipeline flow, upstream friction resistance and downstream friction resistance of the pipeline.

[0057] The parameters for determining the detection model also include:

[0058] Arrange a pressurizing device and a pressure measuring instrument on the pipeline without leakage to measure the pipeline information;

[0059] The pipeline information of the pipeline without leakage is brought into the detection model to verify the parameters of the detection model.

[0060] Detection model such as Figure 2 As shown in the figure, there are five experimental pipeline bodies 7, the oil collection container 1 is connected to the pressurizing device 2, the pressurizing device 2 is connected to the experimental pipeline body 7, the first pressure measuring instrument 3, the second pressure measuring instrument 4, the third pressure measuring instrument 5 and the fourth pressure measuring instrument 6 are installed on the experimental pipeline body 7 in sequence, and the first leakage point 10, the second leakage point 11, the third leakage point 12, the fourth leakage point 13, and the fifth leakage point 14 are made at designated positions on the five experimental pipeline bodies 7 respectively, and the first oil storage container 9 and the second oil storage container 8 are installed below the five leakage points and at the end of the experimental pipeline body 7.

[0061] Specifically, Figure 3 As shown, S1 includes the following steps:

[0062] 1) Preliminary investigation of high-risk pipeline data in the pipeline network

[0063] Collect information about high-risk pipelines in the pipeline network, mainly including the starting and ending locations, length, category and surrounding description information of high-risk pipeline sections.

[0064] 2) Experimental device preparation

[0065] The same test pipe section as the high-risk pipeline on site is taken from the pipeline company, and the test pipeline is 15m long. For the high-risk pipelines that need to be monitored, 5 test pipelines are made for each high-risk pipeline. A pressurizing device and two pressure measuring instruments are installed upstream of the 5 test pipelines, and two pressure measuring instruments are set after the leakage point downstream of the pipeline. The distance between the two pressure measuring instruments upstream and downstream is not less than 1m.

[0066] 3) Determine the location of the leak

[0067] At the positions 2m, 4m, 6m, 8m and 10m from the third pressure measuring instrument in the five experimental pipelines, circles with diameters of 1mm, 3mm, 5mm, 7mm and 9mm were drawn with an ink pen directly below the pipelines.

[0068] 4) Experimental device airtightness test

[0069] Use clean water as the conveying medium, pressurize the clean water with a pressure device, pump it into the pipeline, and keep the medium in the pipeline flowing normally for more than 2 hours to ensure that the pressure measuring instrument can be used normally and there is no leakage in the pipeline.

[0070] 5) Set up the test plan

[0071] Based on the fluid continuity equation, energy conservation equation and momentum conservation equation, it can be deduced that there is a numerical quantitative calculation relationship between the pipeline leakage size, pipeline leakage point location, pipeline flow rate, and upstream and downstream friction resistance of the pipeline. According to the upstream and downstream friction resistances measured on-site of the target pipeline, the pipeline leakage point location and leakage size are calculated using formulas 5-4 and 5-5.

[0072] hf=(P1-P4) / L1~4 (5-1)

[0073] hf1=(P1-P2) / L1~2 (5-2)

[0074] hf2=(P3-P4) / L3~4 (5-3)

[0075]

[0076]

[0077] Where, P1 is the value of the first pressure measuring instrument, MPa; P2 is the value of the second pressure measuring instrument, MPa; P3 is the value of the third pressure measuring instrument, MPa; P4 is the value of the fourth pressure measuring instrument, MPa; L 1～4 is the horizontal distance between the first pressure measuring instrument and the fourth pressure measuring instrument, m; L 1～2 is the horizontal distance between the first pressure measuring instrument and the second pressure measuring instrument, m; L 3～4 is the horizontal distance between the third pressure measuring instrument and the fourth pressure measuring instrument, m; L is the horizontal length of the pipeline, m; h f The friction resistance along the pipeline without leakage, MPa / m; h f1 is the friction resistance along the upstream of the pipeline after leakage, MPa / m; h f2 is the friction resistance along the downstream of the pipeline after leakage, MPa / m; Q is the liquid flow rate in the pipeline, m 3 / s; x is the location of the leak, m; S is the area of ​​the leak, m 2 ; k and k1 are experimental correction coefficients to be determined, dimensionless; γ is the viscosity of the fluid in the pipeline, Pa.s; M1 is the length of the pipeline before the leakage point, m; M2 is the length of the pipeline after the leakage point.

[0078] According to the target pipeline conditions on site, the experimental pipeline flow was set to 0.2, 0.4, 0.6, 0.8, and 1.0 times the maximum on-site flow Qmax. The outlet pressure of the experimental pressurizing device was set to 1.0 MPa. The sizes of the leaks were circles of 1 mm, 3 mm, 5 mm, 7 mm, and 9 mm, respectively. The specific experimental conditions are shown in Table 1.

[0079] Table 1

[0080]

[0081] According to the above table, the pipeline flow leakage test is carried out, and the pipeline pressure at different positions is tested using four pressure measuring instruments. The friction resistance along the upstream and downstream pipelines is calculated, and the test coefficients k and k1 applicable to the target pipe section are calculated according to the formula.

[0082] 6) Friction measurement along the pipeline without leakage points

[0083] Set the outlet pressure of the pressurizing device to 1MPa, and the flow rates to 0.2Qmax, 0.4Qmax, 0.6Qmax, 0.8Qmax, and 1.0Qmax, respectively, and place an oil container at the end of the pipeline. After preparation, turn on the pressurizing device, wait for the pressure gauge to stabilize, read the readings of the four pressure gauges at different flow rates, and record them on the experimental record sheet, and calculate the friction along the pipeline at different flow rates using formula 5-1.

[0084] 7) Friction measurement along the upstream and downstream of the pipeline with leakage point

[0085] Create leaks with a diameter of 1mm at predetermined locations on 5 pipelines, set the outlet pressure of the pressurizing device to 1MPa, and the flow rate to 0.2Qmax, and place oil containers below the leaks and at the end of the pipelines. After preparation, turn on the pressurizing device, wait for the pressure gauge to stabilize, read the readings of the four pressure gauges, and record them on the experimental record sheet, and calculate the upstream and downstream friction of the pipelines using Formula 5-2 and Formula 5-3.

[0086] 8) Repeat the experiment

[0087] The experimental parameters were changed and 25 groups of experiments were repeated. The experimental steps were as shown in step 7. The upstream and downstream friction data of the pipelines at 5 different leakage point locations were measured and recorded under the conditions of 5 flow rates and 5 leakage point sizes.

[0088] 9) Determination of k and k1 values

[0089] Determine the k and k1 values ​​under 125 groups of conditions, process each group of experimental data, calculate the k and k1 values ​​under each experimental condition, then take the average value and record it.

[0090]

[0091]

[0092] Through 125 sets of experiments, the true value k of k and k1 were determined using the true value calculation formula. r and k 1r .

[0093]

[0094]

[0095] In the formula, k r is the true value of the correction factor k, dimensionless; k i is the k value of the ith group of experimental tests, dimensionless; E(k) is the point value correction of k, dimensionless; n is the number of experimental groups, dimensionless (n=1, 2, 3, ...).

[0096] S2, identify the leaking pipe section in the pipe network;

[0097] include:

[0098] Measure the pressure and flow of each pipe section in the pipe network;

[0099] The leaking pipe section is determined based on the changes in pressure and flow of each pipe section over time.

[0100] Specifically, Figure 4As shown in the figure, when a leak occurs at a certain point in the pipeline, the pressure and flow of the entire pipeline network show a downward trend, especially in the leaking pipeline section, where the pressure and flow of this pipeline section change with time more than other non-leaking pipeline sections. Assuming that there are T pipelines in the pipeline network, each pipeline has N monitoring points, and the matrix y = [y i，j ] N×T represents the data measurement matrix of T pipelines and N monitoring points, where y i,j is the vector of pressure and flow at the jth monitoring point in the i-th pipeline. The change matrix Δy is calculated every 30 seconds, and then the elements of each row in the change matrix Δy are extracted to form i new row matrices and y i =[y i，j ] 1×T , and calculate the modulus G of the product of the i-th row matrix and its transposed matrix respectively i . i Sort them, and the i corresponding to the maximum value is the number of the pipeline where the leak occurs.

[0101]

[0102]

[0103] Δy=[Δy i,j ] N×T (5-12)

[0104] G i =|y i ×y i '| (5-13)

[0105] In the formula, y i,j is the vector composed of the pressure and flow rate of the jth monitoring point in the i-th pipeline; P i,j is the pressure of the jth monitoring point in the i-th pipeline, MPa; Q i,j is the flow rate at the jth monitoring point in the i-th pipeline, m 3 / s; y represents the data measurement matrix of T pipelines and N monitoring points; Δy is the change matrix of y every 30s; Δy i,j y is every 30 seconds i,j The change matrix of y i is the row matrix composed of the elements in the i-th row of matrix y; i ′ is y i The transposed matrix of G i for y i The dimensionless modulus of the matrix multiplied by its transposed matrix.

[0106] S3. Measure the pipeline information of the leaking pipe section and bring the pipeline information into the detection model to confirm the pipeline leakage location and calculate the leakage size.

[0107] Specifically, after the leaking pipe section is determined, based on the target pipe sections k and k1 measured in the experiment, the pipeline leakage position and the leakage size are calculated by equations 5-4 and 5-5. Based on the calculated pipeline leakage position and leakage size, on-site personnel are dispatched to handle the problem.

[0108] like Figure 5 As shown, the present invention further proposes a pipeline leakage detection system, which includes a construction module 100, an identification module 200 and a detection module 300.

[0109] The construction module 100 is used to construct a detection model and determine the parameters of the detection model, including: the construction module 100 is used to select a pipeline with a known leak position and leak size to arrange it as an experimental pipeline; arrange a pressurizing device and a pressure measuring instrument on the experimental pipeline to measure the pipeline information of the experimental pipeline; bring the pipeline information, leak position and leak size of the experimental pipeline into the detection model to confirm the parameters of the detection model.

[0110] The identification module 200 is used to identify the leaking pipe section in the pipe network, including: the identification module 200 is used to measure the pressure and flow of each pipe section in the pipe network; and judge the leaking pipe section according to the change value of the pressure and flow of each pipe section over time.

[0111] The detection module 300 is used to measure the pipeline information of the leaking pipe section, and bring the pipeline information into the detection model to confirm the pipeline leakage position and calculate the leakage size.

[0112] like Figure 6 As shown, corresponding to the pipeline leakage detection method provided above, the present invention also provides an electronic device. Since the embodiment of the device is similar to the above method embodiment, the description is relatively simple. For relevant parts, please refer to the description of the above method embodiment part. The device described below is only schematic. The device may include: a processor (processor) 1000, a memory (memory) 2000 and a communication bus (i.e., the above device bus) and a search engine, wherein the processor 1000 and the memory 2000 complete mutual communication through the communication bus and communicate with the outside through the communication interface. The processor 1000 can call the logic instructions in the memory 2000 to execute the pipeline leakage detection method.

[0113] In addition, the logic instructions in the above-mentioned memory 2000 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: a storage chip, a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk, and other media that can store program codes.

[0114] On the other hand, an embodiment of the present invention further provides a processor-readable storage medium, on which a computer program 3000 is stored. When the computer program 3000 is executed by the processor 1000, the pipeline leakage detection method provided in the above embodiments is implemented.

[0115] The processor-readable storage medium can be any available medium or data storage device that can be accessed by the processor 1000, including but not limited to magnetic storage (such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO)), optical storage (such as CDs, DVDs, BDs, HVDs, etc.), and semiconductor storage (such as ROM, EPROM, EEPROM, non-volatile memory (NANDFLASH), solid-state drives (SSDs)), etc.

[0116] Those skilled in the art should understand that although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible to modify the technical solutions described in the aforementioned embodiments, or to make equivalent replacements for some of the technical features therein; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A pipeline leak detection method, characterized in that: The method comprises: Construct a detection model and determine the parameters of the detection model; Identify leaking pipe sections in the pipe network; Measure the pipeline information of the leaking pipe section and bring the pipeline information into the detection model to confirm the pipeline leakage location and calculate the leakage size.

2. The pipeline leakage detection method according to claim 1, characterized in that: The step of constructing a detection model and determining parameters of the detection model includes: Select a pipeline with known leak position and leak size to form an experimental pipeline; Arrange a pressurizing device and a pressure measuring instrument on the experimental pipeline to measure pipeline information of the experimental pipeline; The pipeline information, leak location and leak size of the experimental pipeline are brought into the detection model to confirm the parameters of the detection model.

3. The pipeline leakage detection method according to claim 1 or 2, characterized in that: The pipeline information includes pipeline flow, upstream friction resistance along the pipeline, and downstream friction resistance along the pipeline.

4. The pipeline leakage detection method according to claim 3, characterized in that: The parameters for determining the detection model also include: Arrange a pressurizing device and a pressure measuring instrument on the pipeline without leakage to measure the pipeline information; The pipeline information of the pipeline without leakage is brought into the detection model to verify the parameters of the detection model.

5. The pipeline leakage detection method according to claim 1, characterized in that: Identify leaking pipes in the network, including: Measure the pressure and flow of each pipe section in the pipe network; The leaking pipe section is determined based on the changes in pressure and flow of each pipe section over time.

6. A pipeline leakage detection system, characterized in that: The system includes a building module, a recognition module and a detection module; The construction module is used to construct a detection model and determine the parameters of the detection model; The identification module is used to identify the leaking pipe section in the pipe network; The detection module is used to measure the pipeline information of the leaking pipe section, and bring the pipeline information into the detection model to confirm the pipeline leakage position and calculate the leakage size.

7. The pipeline leakage detection system according to claim 6, characterized in that: The construction module is used to construct a detection model and determine the parameters of the detection model, including: The construction module is used to select pipes with known leak positions and leak sizes and arrange them into experimental pipes; Arrange a pressurizing device and a pressure measuring instrument on the experimental pipeline to measure pipeline information of the experimental pipeline; The pipeline information, leak location and leak size of the experimental pipeline are brought into the detection model to confirm the parameters of the detection model.

8. The pipeline leakage detection system according to claim 6, characterized in that: The identification module is used to identify the leaking pipe section in the pipe network, including: The identification module is used to measure the pressure and flow of each pipe section in the pipe network; The leaking pipe section is determined based on the changes in pressure and flow of each pipe section over time.

9. An electronic device, characterized in that: include: Processor and memory; The processor calls the computer program stored in the memory to execute the pipeline leakage detection method according to any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor is enabled to execute the pipeline leakage detection method according to any one of claims 1 to 5.

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