Method and equipment for evaluating external corrosion risk of pipeline and storage medium

Abstract

The invention provides a method and equipment for evaluating the external corrosion risk of a pipeline and a storage medium, relates to the technical field of pipelines, and is used for solving the problems of long detection period, untimely detection and low detection accuracy. The method comprises the following steps: determining factors influencing external corrosion of pipeline microorganisms; acquiring soil environment data near the pipeline and pipeline operation data; respectively determining influence parameters of the soil environment data and the pipeline operation data on the pipeline corrosion event; the influence parameter is used for reflecting the influence degree on the pipeline corrosion event; the pipeline corrosion event is a pipeline microorganism external corrosion event; determining the external corrosion rate of the pipeline according to the influence parameters of the soil environment data and the pipeline operation data on the pipeline corrosion event; and determining the risk of the pipeline corrosion event according to the external corrosion rate of the pipeline.

Description

Technical Field

[0001] The present application relates to the field of pipeline technology, and in particular to a method, device, and storage medium for assessing the risk of external corrosion of pipelines. Background Art

[0002] As a linear project in an open environment, long-distance oil and gas pipelines have a diverse soil environment around them. The microbial species in the soil are diverse and their actual distribution is complex. The risk of soil microbial corrosion in the pipelines is relatively high. Many pipeline corrosion and leakage incidents caused by soil microorganisms have been reported both at home and abroad.

[0003] Existing technologies primarily rely on excavation sampling (sampling soil and groundwater near the pipeline) to determine whether microbial corrosion has occurred and the corrosion rate outside the pipeline. However, this method suffers from long detection cycles, delayed detection, and low accuracy. Furthermore, excavation testing results often only represent the corrosion situation at that location or at similar locations, making it difficult to fully reproduce the corrosion situation along the entire pipeline. Summary of the Invention

[0004] The present application provides a pipeline external corrosion risk assessment method, equipment and storage medium, which are used to solve the problems of long detection cycle, untimely detection and low detection accuracy in pipeline external corrosion detection methods.

[0005] In a first aspect, the present application provides a method for assessing the risk of external corrosion of a pipeline, the method comprising: obtaining soil environmental data and pipeline operation data near the pipeline; respectively determining the influencing parameters of the soil environmental data and pipeline operation data on pipeline corrosion events; the influencing parameters are used to reflect the degree of influence on the pipeline corrosion event; the pipeline corrosion event is an event of external corrosion of the pipeline by microorganisms; determining the external corrosion rate of the pipeline based on the influencing parameters of the soil environmental data and pipeline operation data on the pipeline corrosion event; and determining the risk of a pipeline corrosion event based on the external corrosion rate of the pipeline.

[0006] The data circulation method provided in the embodiment of the present application has at least the following beneficial effects: obtaining soil environmental data and pipeline operation data near the pipeline; respectively determining the influencing parameters of the soil environmental data and pipeline operation data on pipeline corrosion events; determining the external corrosion rate of the pipeline based on the influencing parameters of the soil environmental data and pipeline operation data on pipeline corrosion events; and determining the risk of pipeline corrosion events based on the external corrosion rate of the pipeline. It can be seen that the present application can evaluate the microbial corrosion risk of the pipeline, realize the understanding of the microbial corrosion risk status in the external environment of the pipeline, shorten the detection cycle, improve the accuracy of detection, help to take protective measures for the pipeline in advance, and extend the service life of the pipeline.

[0007] In one possible implementation, the above-mentioned separately determining the impact parameters of soil environment data and pipeline operation data on pipeline corrosion events includes: determining the impact parameters of soil environment data on pipeline corrosion events based on a relationship between the soil environment data and the corrosion impact range corresponding to the soil environment; and determining the impact parameters of pipeline operation data on pipeline corrosion events based on a relationship between the pipeline operation data and the corrosion impact range corresponding to the pipeline operation.

[0008] In another possible implementation, determining the external corrosion rate of the pipeline based on the influencing parameters of the soil environment data and the pipeline operation data on the pipeline corrosion event includes: determining the external corrosion rate of the pipeline based on the product of the influencing parameters of the soil environment data on the pipeline corrosion event and the influencing parameters of the pipeline operation data on the pipeline corrosion event, and a correction coefficient; wherein the correction coefficient is determined based on the historical corrosion rate of the pipeline.

[0009] In another possible implementation, the above pipeline external corrosion rate satisfies the following formula:

[0010] R MIC =n×C×Fn a

[0011] Among them, R MIC represents the external corrosion rate of the pipeline, Fn represents the product of the influencing parameters of soil environment data on pipeline corrosion events and the influencing parameters of pipeline operation data on pipeline corrosion events, n is the correction coefficient, C is a constant, and a is a constant.

[0012] In another possible implementation, determining the risk of external corrosion of the pipeline based on the external corrosion rate of the pipeline includes determining the level of the risk of external corrosion of the pipeline based on a relationship between the external corrosion rate of the pipeline and a preset threshold.

[0013] In another possible implementation, the obtaining of soil environment data and pipeline operation data near the pipeline includes: determining whether the environment in which the pipeline is located is an environment suitable for microbial growth; and obtaining soil environment data and pipeline operation data near the pipeline if the environment in which the pipeline is located is an environment suitable for microbial growth.

[0014] In another possible implementation, the soil environmental data includes at least one of the following: soil pH, soil sulfur content, soil carbon content, soil redox potential, soil total dissolved solids, and soil temperature.

[0015] In another possible implementation, the pipeline operation data includes at least one of the following: pipeline temperature, pipeline insulation layer, pipeline anti-corrosion layer, pipeline cathodic protection potential, and historical corrosion rate of the pipeline.

[0016] In a second aspect, the present application provides an evaluation device, comprising: an acquisition module and a determination module; wherein the acquisition module is used to acquire soil environmental data and pipeline operation data near the pipeline; the determination module is used to respectively determine the impact parameters of the soil environmental data and pipeline operation data on the pipeline corrosion event; the impact parameters are used to reflect the degree of impact on the pipeline corrosion event; the pipeline corrosion event is an event of external microbial corrosion of the pipeline; the external corrosion rate of the pipeline is determined based on the impact parameters of the soil environmental data and pipeline operation data on the pipeline corrosion event; and the risk of the occurrence of a pipeline corrosion event is determined based on the external corrosion rate of the pipeline.

[0017] In one possible implementation, the determination module is specifically used to determine the impact parameters of soil environment data on pipeline corrosion events based on the relationship between the soil environment data and the corrosion impact range corresponding to the soil environment; and to determine the impact parameters of pipeline operation data on pipeline corrosion events based on the relationship between pipeline operation data and the corrosion impact range corresponding to pipeline operation.

[0018] In another possible implementation, the determination module is specifically configured to determine the external corrosion rate of the pipeline based on the product of an impact parameter of soil environmental data on the pipeline corrosion event and an impact parameter of pipeline operation data on the pipeline corrosion event, and a correction coefficient; wherein the correction coefficient is determined based on the historical corrosion rate of the pipeline.

[0019] In another possible implementation, the above pipeline external corrosion rate satisfies the following formula:

[0020] R MIC =n×C×Fn a

[0021] Among them, R MIC represents the external corrosion rate of the pipeline, Fn represents the product of the influencing parameters of soil environment data on pipeline corrosion events and the influencing parameters of pipeline operation data on pipeline corrosion events, n is the correction coefficient, C is a constant, and a is a constant.

[0022] In another possible implementation, the determination module is specifically configured to determine the level of pipeline external corrosion risk based on a relationship between the pipeline external corrosion rate and a preset threshold.

[0023] In another possible implementation, the acquisition module is specifically used to determine whether the environment in which the pipeline is located is an environment suitable for the growth of microorganisms; if the environment in which the pipeline is located is an environment suitable for the growth of microorganisms, the soil environment data and pipeline operation data near the pipeline are acquired.

[0024] In another possible implementation, the soil environmental data includes at least one of the following: soil pH, soil sulfur content, soil carbon content, soil redox potential, soil total dissolved solids, and soil temperature.

[0025] In another possible implementation, the pipeline operation data includes at least one of the following: pipeline temperature, pipeline insulation layer, pipeline anti-corrosion layer, pipeline cathodic protection potential, and historical corrosion rate of the pipeline.

[0026] In a third aspect, the present application provides an electronic device comprising: a processor and a memory for storing processor-executable instructions; wherein the processor is configured to execute instructions to implement the method of the first aspect above.

[0027] In a fourth aspect, the present application provides a computer-readable storage medium, which includes: computer software instructions; when the computer software instructions are executed in an electronic device, the electronic device implements the method of the first aspect above.

[0028] In a fifth aspect, the present application provides a computer program product, which includes a computer program; when the computer program runs in an electronic device, the electronic device implements the method of the first aspect above.

[0029] The beneficial effects of the second to fifth aspects mentioned above refer to the corresponding description of the first aspect and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 A process for evaluating the risk of external corrosion of pipelines provided in this application Figure 1 ;

[0031] Figure 2 A process for evaluating the risk of external corrosion of pipelines provided in this application Figure 2 ;

[0032] Figure 3 A schematic diagram of temperature change provided in this application;

[0033] Figure 4 A schematic diagram of the composition of an evaluation device provided in this application;

[0034] Figure 5 A schematic diagram of the composition of an electronic device provided in this application. DETAILED DESCRIPTION

[0035] The following is a detailed description of a pipeline external corrosion risk assessment method provided by the present application with reference to the accompanying drawings.

[0036] The term "and / or" in this article is merely a description of the association relationship between associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0037] The terms "first" and "second" and the like in the specification and drawings of this application are used to distinguish different objects, or to distinguish different processing of the same object, rather than to describe a specific order of objects.

[0038] Furthermore, the terms "including," "having," and any variations thereof, as used in the description of this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or units is not limited to the listed steps or units but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to the process, method, product, or apparatus.

[0039] It should be noted that in the embodiments of this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of this application should not be interpreted as being more preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0040] In order to facilitate a clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish between identical or similar items with basically the same functions and effects. Those skilled in the art can understand that words such as "first" and "second" do not limit the quantity and execution order.

[0041] In the description of the present application, unless otherwise specified, “plurality” means two or more.

[0042] Long-distance oil and gas pipelines are linear projects in open environments. The soil environment around the pipelines is diverse, with a wide variety of microbial species and complex distribution patterns. This poses a significant risk of soil microbial corrosion. Numerous incidents of pipeline corrosion and leakage caused by soil microorganisms have been reported by authorities both domestically and internationally. Detecting and identifying external microbial corrosion in pipelines is challenging, and there are limited methods for directly and promptly detecting microbial signatures on the pipeline surface.

[0043] At present, conventional pipeline external corrosion detection mainly adopts external detection technology and internal detection technology. Both methods have certain limitations in the detection of microbial external corrosion. External detection technology can usually detect the damage points of the pipeline's external anti-corrosion layer, the effect of cathodic protection, and corrosion activity, but it is difficult to evaluate the corrosion condition of the pipeline in an environment where the external anti-corrosion layer of the pipeline is peeling, especially for pipelines with insulation structures. Internal detection technology can accurately identify metal loss defects on the outside of the pipe body, but under normal circumstances, the internal detection cycle is generally 5 to 8 years, and the internal detection cost is high, and there are limitations in the identification of pinhole corrosion. In addition, if the detection cycle is set unreasonably, the detection frequency lags behind the actual corrosion rate, and existing corrosion risks may be missed.

[0044] Currently, the detection and identification of microbial corrosion (MIC) on oil and gas pipelines primarily relies on pipeline excavation sampling and analysis. Direct excavation and inspection, obtaining actual soil and groundwater samples near the pipeline, analyzes their physical and chemical properties and microbiology, and simultaneously observes the corrosion condition of the pipe body. This allows for the best possible identification of the corrosion mechanism, confirming the presence of MIC and its rate. However, field sampling requires laboratory physicochemical analysis and microbial culture analysis, leading to lengthy testing cycles and untimely inspections. Furthermore, MIC analysis places high demands on sample collection, storage, and transportation. Sampling compliance significantly impacts the results of the analysis. Furthermore, excavation sampling is labor-intensive and economically inefficient, sometimes hindered by site constraints such as land acquisition. Furthermore, due to the hidden nature of MIC, excavation testing results often only represent the corrosion situation at that location or at similar locations, making it difficult to fully capture the corrosion profile of the entire pipeline.

[0045] In summary, the excavation sampling and analysis methods used in related technologies suffer from long detection cycles, delayed detection, and low accuracy. Furthermore, excavation testing results often only represent the corrosion conditions at that location or in similar locations, making it difficult to fully reproduce the corrosion conditions along the entire pipeline.

[0046] In response to the above technical problems, the present application provides a method for assessing the risk of external corrosion of pipelines. The specific method includes: obtaining soil environmental data and pipeline operation data near the pipeline; determining factors affecting microbial external corrosion of the pipeline; respectively determining the influencing parameters of the soil environmental data and pipeline operation data on pipeline corrosion events; the influencing parameters are used to reflect the degree of influence on the pipeline corrosion event; the pipeline corrosion event is an event of microbial external corrosion of the pipeline; determining the external corrosion rate of the pipeline based on the influencing parameters of the soil environmental data and pipeline operation data on the pipeline corrosion event; and determining the risk of a pipeline corrosion event based on the external corrosion rate of the pipeline. In this way, the present application can assess the microbial corrosion risk of the pipeline, realize the grasp of the microbial corrosion risk status in the external environment of the pipeline, shorten the detection cycle, improve the accuracy of detection, help to take protective measures in advance, and extend the service life of the pipeline.

[0047] The method for assessing the risk of external corrosion of a pipeline provided in an embodiment of the present application can be executed by an electronic device.

[0048] For example, the electronic device may be a server, for example, a single server, or a server cluster composed of multiple servers. In some implementations, the server cluster may also be a distributed cluster.

[0049] For example, the electronic device may be a terminal device, such as a mobile phone, a tablet computer, a desktop computer, a laptop computer, a handheld computer, a notebook computer, an ultra-mobile personal computer (UMPC), a netbook computer, a cellular phone, a personal digital assistant (PDA), an augmented reality (AR) or virtual reality (VR) device, etc. The embodiments of the present application do not impose any particular limitation on the specific form of the terminal device.

[0050] The embodiments provided in this application are described in detail below with reference to the accompanying drawings.

[0051] See also Figure 1 , is a flow chart of a method for assessing pipeline external corrosion risk provided in an embodiment of the present application. Specifically, the method includes the following steps S101 to S104.

[0052] S101. Acquire soil environment data and pipeline operation data near the pipeline.

[0053] Exemplarily, the soil environmental data includes at least one of the following: soil acidity (pH value), soil sulfur content (S content), soil carbon content (C content), soil redox potential, soil total dissolved solids (TDS), and soil temperature.

[0054] Exemplarily, the pipeline operation data includes at least one of the following: pipeline temperature, pipeline insulation layer, pipeline anti-corrosion layer, pipeline cathodic protection potential, and historical corrosion rate of the pipeline.

[0055] In some embodiments, the above step S101 can be implemented as follows: determining factors that affect microbial external corrosion of pipelines; and acquiring soil environment data and pipeline operation data near the pipeline based on the factors that affect microbial external corrosion of pipelines.

[0056] For example, factors affecting microbial external corrosion of pipelines can be determined based on literature research and analysis of pipeline field excavation data.

[0057] In some embodiments, factors affecting microbial external corrosion of pipelines include soil environmental factors and pipeline operational factors. For example, soil environmental factors include at least one of the following: soil pH, soil sulfur content, soil carbon content, soil redox potential, soil total dissolved solids, and soil temperature; and pipeline operational factors include at least one of the following: pipeline temperature, pipeline insulation, pipeline anti-corrosion coating, pipeline cathodic protection potential, and historical pipeline corrosion rate.

[0058] In some embodiments, the above step S101 can be implemented as follows: determining whether the environment in which the pipeline is located is an environment suitable for the growth of microorganisms; if the environment in which the pipeline is located is an environment suitable for the growth of microorganisms, obtaining soil environment data and pipeline operation data near the pipeline.

[0059] For example, environments suitable for microbial growth include areas with high groundwater levels, farmland irrigation canals, swamps, ponds, and alternating dry and wet areas.

[0060] It is understandable that microorganisms can corrode pipelines and cause pipeline corrosion leakage incidents. Therefore, if the pipeline is in an environment suitable for microbial growth, it can be preliminarily determined that there is a possibility of microbial external corrosion occurring in the pipeline.

[0061] In some embodiments, the above-mentioned pipeline can be a long-distance pipeline, which can be used to transport oil, gas or other media, and this embodiment of the present application is not limited to this.

[0062] S102. Determine the influencing parameters of soil environment data and pipeline operation data on pipeline corrosion events respectively.

[0063] Among them, the impact parameter is used to reflect the degree of influence on pipeline corrosion events.

[0064] Exemplarily, the pipeline corrosion event is an event of microbiologically induced external corrosion of the pipeline.

[0065] In some embodiments, the impact parameter of the soil environment data on the pipeline corrosion event is determined based on the relationship between the soil environment data and the corrosion impact range corresponding to the soil environment.

[0066] In some embodiments, the impact parameter of the pipeline operation data on the pipeline corrosion event is determined based on the relationship between the pipeline operation data and the corrosion impact range corresponding to the pipeline operation.

[0067] S103. Determine the external corrosion rate of the pipeline based on the influencing parameters of the soil environment data and pipeline operation data on the pipeline corrosion event.

[0068] In some embodiments, the above step S103 can be implemented as follows: determining the external corrosion rate of the pipeline based on the product of the influencing parameters of the soil environment data on the pipeline corrosion event and the influencing parameters of the pipeline operation data on the pipeline corrosion event, and a correction coefficient.

[0069] The correction factor is determined based on the historical corrosion rate of the pipeline. For example, the correction factor can be the average of the maximum historical corrosion rates; or, in the absence of historical data, the correction factor is 1.

[0070] In some embodiments, the external corrosion rate of the pipeline satisfies the following formula:

[0071] R MIC =n×C×Fn a

[0072] Among them, R MIC represents the external corrosion rate of the pipeline, Fn represents the product of the parameter affecting the pipeline corrosion event due to soil environmental data and the parameter affecting the pipeline corrosion event due to pipeline operation data, n is the correction factor, C is a constant, and a is a constant. For example, the value of C can be 2 mm / y, and the value of a can be 0.57.

[0073] Exemplarily, Fn can be expressed as: Fn=f1×f2×…×fn; wherein fn is an influence parameter of soil environment data on pipeline corrosion events or an influence parameter of pipeline operation data on pipeline corrosion events.

[0074] S104. Determine the risk of pipeline corrosion incidents based on the external corrosion rate of the pipeline.

[0075] In some embodiments, the level of pipeline external corrosion risk is determined based on a relationship between the pipeline external corrosion rate and a preset threshold.

[0076] For example, when the pipeline external corrosion rate is less than or equal to a first threshold, the pipeline external corrosion risk is determined to be a level one risk; when the pipeline external corrosion rate is less than or equal to a second threshold and greater than the first threshold, the pipeline external corrosion risk is determined to be a level two risk; when the pipeline external corrosion rate is less than or equal to a third threshold and greater than the second threshold, the pipeline external corrosion risk is determined to be a level three risk; and when the pipeline external corrosion rate is greater than the third threshold, the pipeline external corrosion risk is determined to be a level four risk. The third threshold is greater than the second threshold, and the second threshold is greater than the first threshold.

[0077] It is understandable that the higher the pipeline external corrosion risk level, the greater the possibility of the pipeline being corroded.

[0078] Exemplarily, the relationship between the pipeline external corrosion rate and the risk of pipeline corrosion events satisfies the form shown in Table 1 below.

[0079] Table 1 Relationship between pipeline external corrosion rate and risk of pipeline corrosion events

[0080] Serial number <![CDATA[External corrosion rate R of pipeline MIC , mm / y]]> Microbiologically Invasive Corrosion Risk 1 <![CDATA[R MIC <=0.01]]> Low 2 <![CDATA[0.01<R MIC <=0.1]]> middle 3 <![CDATA[0.1<R MIC <=0.5]]> Higher 4 <![CDATA[0.5<R MIC ]]> high

[0081] In summary, it can be seen that this application can assess the microbial corrosion risk of pipelines, realize the understanding of the microbial corrosion risk status in the external environment of the pipeline, shorten the detection cycle, improve the accuracy of detection, help to take protective measures in advance, and extend the service life of the pipeline.

[0082] The following describes the method for assessing the external corrosion risk of a pipeline provided in an embodiment of the present application in the form of an example.

[0083] See also Figure 2 , is a flow chart of a method for assessing the risk of external corrosion of a pipeline provided in an embodiment of the present application. Exemplarily, the method includes:

[0084] Sa1. Determine the environment in which the pipeline is located.

[0085] Sa2. Determine whether the environment in which the pipeline is located is suitable for the growth of microorganisms.

[0086] If yes, perform the following step Sa3; if no, determine that the possibility of microbial corrosion occurring in the pipeline is low.

[0087] Sa3. Obtain soil environment data and pipeline operation data near the pipeline.

[0088] In some embodiments, the soil environmental data includes at least one of the following: soil pH, soil sulfur content, soil carbon content, soil redox potential, soil total dissolved solids, and soil temperature.

[0089] Exemplarily, the pipeline operation data includes at least one of the following: pipeline temperature, pipeline insulation layer, pipeline anti-corrosion layer, pipeline cathodic protection potential, and historical corrosion rate of the pipeline.

[0090] Sa4. Determine the influencing parameters of soil environment data and pipeline operation data on pipeline corrosion events respectively.

[0091] In some embodiments, the impact parameter of the soil environment data on the pipeline corrosion event is determined based on the relationship between the soil environment data and the corrosion impact range corresponding to the soil environment.

[0092] For example, soil pH is one of the key environmental factors affecting pipeline corrosion. Imbalanced soil pH can accelerate microbial corrosion of pipelines. If the soil pH is between 5 and 9.5, this indicates that the soil pH is favorable for microbial growth, thereby accelerating microbial corrosion of pipelines. In this case, the impact parameter is 1. Conversely, if the soil pH is less than or equal to 5 or greater than or equal to 9.5, this indicates that the soil pH is unfavorable for microbial growth, thereby inhibiting microbial corrosion of pipelines. In this case, the impact parameter is 0.001.

[0093] For example, excessively high soil sulfur content can increase the activity of sulfate-reducing and sulfur-oxidizing bacteria, leading to the generation of hydrogen sulfide and sulfide, which can further accelerate pipeline corrosion. If the soil sulfur content is greater than 10 mg / L, this indicates that the excessively high soil sulfur content is conducive to microbial growth, thereby accelerating microbial corrosion of pipelines. In this case, the impact parameter is 1. Conversely, if the soil sulfur content is less than or equal to 10 mg / L, this indicates that the soil sulfur content is unfavorable to microbial growth, thereby inhibiting microbial corrosion of pipelines. In this case, the impact parameter is 0.2.

[0094] For example, the effect of soil carbon content on pipeline corrosion is mainly reflected in microbial corrosion and changes in the chemical properties of the soil environment. Carbon is the main component of soil organic matter, and its existence form and content will directly affect the corrosiveness of the soil. The carbon content in the soil is mainly affected by the organic carbon content in the soil, the total carbon content of fatty acids in the soil, and the ratio of carbon, nitrogen and phosphorus in the soil. Among them, organic carbon (Organic carbon) is the main component of soil organic matter and is crucial to the health and fertility of the soil; the total carbon of fatty acids (Total C from fatty acids) is widely present in organisms, and its carbon content analysis is of great significance to the soil environment; the ratio of carbon, nitrogen and phosphorus has an important impact on the growth and metabolism of organisms. If the organic carbon content in the soil is greater than 10 mg / L and the total carbon content of fatty acids in the soil is greater than 20 mg / L, and the ratio of carbon, nitrogen and phosphorus in the soil is balanced (C:N:P in balance), it indicates that the carbon content in the soil is conducive to the growth of microorganisms, thereby accelerating microbial corrosion of pipelines. At this time, the impact parameter value is 1; conversely, if the organic carbon content in the soil is less than or equal to 10 mg / L or the total carbon content of fatty acids in the soil is less than or equal to 20.

[0095] mg / L or an imbalance in the ratio of carbon, nitrogen and phosphorus in the soil, it indicates that the carbon content in the soil is not conducive to the growth of microorganisms and will inhibit the corrosion of microorganisms on pipelines. At this time, the value of the influencing parameter is 0.2.

[0096] For example, the soil's redox potential is an important indicator of the soil's redox state, reflecting the trend of electron transfer in the soil. The impact of soil's redox potential on pipeline corrosion is mainly reflected in two aspects: electrochemical corrosion and microbial corrosion. If the soil's redox potential is greater than or equal to 400mV, it indicates that the soil's redox potential is not conducive to microbial growth, thereby inhibiting microbial corrosion of the pipeline. In this case, the impact parameter is 0.2. If the soil's redox potential is greater than or equal to 200mV and less than 400mV, it indicates that the soil's redox potential is not very conducive to microbial growth, thereby slowly inhibiting microbial corrosion of the pipeline. In this case, the impact parameter is 0.4. If the soil's redox potential is greater than or equal to 100mV and less than 200mV, it indicates that the soil's redox potential is more conducive to microbial growth, thereby slowly accelerating microbial corrosion of the pipeline. In this case, the impact parameter is 0.8. If the soil's redox potential is less than 100mV, it indicates that the soil's redox potential is conducive to microbial growth, thereby accelerating microbial corrosion of the pipeline. In this case, the impact parameter is 1.

[0097] For example, the total dissolved solids (TDS) in soil refers to the total concentration of inorganic salts and organic matter dissolved in the soil solution. It is one of the important parameters affecting soil corrosivity. The impact of TDS on pipeline corrosion is mainly reflected in the conductivity of the soil solution. The lower the TDS concentration, the lower the conductivity of the soil solution, which accelerates the TDS-induced corrosion of pipelines. If the TDS in the soil is less than 60 g / L, it indicates that the TDS in the soil are conducive to the growth of microorganisms, thereby accelerating microbial corrosion of pipelines. In this case, the impact parameter value is 1. Conversely, if the TDS in the soil is greater than or equal to 60 g / L, it indicates that the TDS in the soil are not conducive to the growth of microorganisms, thereby inhibiting microbial corrosion of pipelines. In this case, the impact parameter value is 0.2.

[0098] For example, soil temperature is a key factor influencing pipeline corrosion. It directly affects pipeline corrosion by altering the activity of microorganisms in the soil. A suitable temperature range promotes microbial growth, thereby increasing the risk of microbial corrosion. If the soil temperature is greater than 10 degrees Celsius and less than 40 degrees Celsius, this indicates that the soil temperature is conducive to microbial growth, accelerating microbial corrosion of pipelines. In this case, the impact parameter is 1. Conversely, if the soil temperature is less than or equal to 10 degrees Celsius or greater than or equal to 40 degrees Celsius, this indicates that the soil temperature is unfavorable for microbial growth, inhibiting microbial corrosion of pipelines. In this case, the impact parameter is 0.2.

[0099] In some embodiments, the impact parameter of the pipeline operation data on the pipeline corrosion event is determined based on the relationship between the pipeline operation data and the corrosion impact range corresponding to the pipeline operation.

[0100] For example, pipeline temperature directly affects the microbial growth environment, thereby affecting microbial activity and, consequently, pipeline corrosion. A suitable temperature maximizes microbial activity, leading to the fastest rate of microbial corrosion. If the pipeline temperature is greater than 10 degrees Celsius and less than 40 degrees Celsius, this indicates that the pipeline temperature is conducive to microbial growth, accelerating microbial corrosion of the pipeline. In this case, the impact parameter is 1. Conversely, if the pipeline temperature is less than or equal to 10 degrees Celsius or greater than or equal to 40 degrees Celsius, this indicates that the pipeline temperature is unfavorable for microbial growth, inhibiting microbial corrosion of the pipeline. In this case, the impact parameter is 0.2.

[0101] For example, the material used in the pipeline's insulation layer can promote microbial growth. For example, polyurethane insulation can provide a carbon source for microbial growth. If the pipeline's insulation layer contains a material that promotes microbial growth, it indicates that the insulation layer is conducive to microbial growth, thereby accelerating microbial corrosion of the pipeline. In this case, the impact parameter is 1. Conversely, if the pipeline's insulation layer does not contain a material that promotes microbial growth, it indicates that the insulation layer is not conducive to microbial growth, thereby inhibiting microbial corrosion of the pipeline. In this case, the impact parameter is 0.2.

[0102] For example, the presence of a patch-promoting defect in the pipeline's anti-corrosion coating is primarily determined based on literature research, on-site pipeline excavation conditions, and management experience to determine whether there are defects that promote patching, such as poor construction quality or shadows under the patch during internal inspection. If a patch-promoting defect exists in the pipeline's anti-corrosion coating, it indicates that the coating is conducive to the growth of microorganisms, thereby accelerating microbial corrosion of the pipeline. In this case, the impact parameter is 1. Conversely, if no patch-promoting defect exists in the pipeline's anti-corrosion coating, it indicates that the coating is not conducive to the growth of microorganisms, thereby inhibiting microbial corrosion of the pipeline. In this case, the impact parameter is 0.2.

[0103] For example, cathodic protection of pipelines is a technology that inhibits microbial corrosion of pipelines by applying an external current or sacrificial anodes. Therefore, the setting of the pipeline's cathodic protection potential will directly affect microbial corrosion of the pipeline. Reasonable setting of the cathodic protection potential can effectively inhibit microbial corrosion of the pipeline. If the pipeline's cathodic protection potential is less than or equal to -1050mV or greater than or equal to -950mV, it indicates that the pipeline's cathodic protection potential is conducive to the growth of microorganisms, thereby accelerating microbial corrosion of the pipeline. In this case, the impact parameter value is 1. Conversely, if the pipeline's cathodic protection potential is greater than -1050mV and less than -950mV, it indicates that the pipeline's cathodic protection potential is not conducive to the growth of microorganisms, thereby inhibiting microbial corrosion of the pipeline. In this case, the impact parameter value is 0.2.

[0104] For example, the historical corrosion rate of the pipeline is one of the influencing parameters of the pipeline corrosion event. If there is an abnormality greater than 1 mm / a, it indicates that the possibility of microbial corrosion on the pipeline is relatively large, and the value of the influencing parameter is 1. Conversely, if there is no abnormality greater than 1 mm / a, it indicates that the possibility of microbial corrosion on the pipeline is relatively small, and the value of the influencing parameter is 0.2.

[0105] In summary, it can be seen that this application can determine the influencing parameters of various soil environmental data and pipeline operation data on pipeline corrosion events, thereby achieving the understanding of the microbial corrosion risk status in the external environment of the pipeline, shortening the detection cycle, improving the accuracy of detection, and helping to take protective measures for the pipeline in advance, thereby extending the service life of the pipeline.

[0106] Sa5. Determine the external corrosion rate of the pipeline based on the influencing parameters of the soil environment data and pipeline operation data on pipeline corrosion events.

[0107] In some embodiments, the external corrosion rate of the pipeline satisfies the following formula:

[0108] R MIC =n×C×Fn a

[0109] In some embodiments, R MIC represents the external corrosion rate of the pipeline, Fn represents the product of the influencing parameters of soil environment data on pipeline corrosion events and the influencing parameters of pipeline operation data on pipeline corrosion events, n is the correction coefficient, C is a constant, and a is a constant.

[0110] Sa6. Determine the risk of pipeline corrosion incidents based on the external corrosion rate of the pipeline.

[0111] In some embodiments, when the pipeline external corrosion rate is less than or equal to a first threshold, the pipeline external corrosion risk is determined to be a level one risk.

[0112] Among them, the first threshold is 0.01mm / y; the first level risk is low risk.

[0113] In some embodiments, when the pipeline external corrosion rate is less than or equal to the second threshold and greater than the first threshold, the pipeline external corrosion risk is determined to be a level 2 risk.

[0114] The second threshold is 0.1mm / y; the second-level risk is medium risk.

[0115] In some embodiments, when the pipeline external corrosion rate is less than or equal to a third threshold and greater than a second threshold, the pipeline external corrosion risk is determined to be a third-level risk.

[0116] The third threshold is 0.5mm / y; the third level risk is a higher risk.

[0117] In some embodiments, when the pipeline external corrosion rate is greater than the third threshold, the pipeline external corrosion risk is determined to be a level four risk.

[0118] Among them, level 4 risk is high risk.

[0119] For example, the criteria for determining the risk of a pipeline corrosion event according to the pipeline external corrosion rate can be found in Table 1 above.

[0120] In summary, it can be seen that this application can assess the microbial corrosion risk of pipelines, realize the understanding of the microbial corrosion risk status in the external environment of pipelines, shorten the detection cycle, improve the accuracy of detection, help to take protective measures for pipelines in advance, and extend the service life of pipelines.

[0121] The following describes the method for assessing the risk of external corrosion of pipelines provided in this application in conjunction with specific embodiments.

[0122] Taking Section A of a long-distance crude oil insulated pipeline in western China as an example, a risk assessment of microbial corrosion of the pipeline was conducted. The basic parameters of the pipeline are as follows:

[0123] The long-distance crude oil pipeline was put into operation in 2012. It adopts polyurethane insulation layer, 3PE anti-corrosion layer and forced current cathodic protection as protection measures. There is no obvious stray current interference along the line. The internal inspections carried out in 2019 and 2023 reported relatively obvious external metal loss. The length of pipe section A is about 80km. The pipeline is located in the alluvial plain of the Yellow River. The terrain is flat and the water level is high. It is in the irrigation area in spring and winter, with alternating dry and wet seasons. The average soil moisture content is 20%, and there is a possibility of microbial corrosion. Historically, the physical and chemical properties of the soil leachate, groundwater and water in the insulation layer of this section have been tested 7 times. The results are shown in Table 2. The temperature parameters along the pipeline are shown in Figure 3 .

[0124] Table 2 Soil parameter information of section A of a pipeline in Northwest China

[0125]

[0126] The implementation steps of the microbial corrosion risk assessment for pipeline section A are as follows:

[0127] Step 1: Preliminary screening of microbially sensitive locations. Pipeline Section A is located in the Yellow River alluvial plain, with flat terrain and high water levels. It is located in an irrigation zone during spring and winter, experiencing alternating dry and wet conditions. The soil has an average moisture content of 20%, making it susceptible to microbial corrosion.

[0128] Step 2: Determine the factors affecting microbial external corrosion of pipelines. The soil environmental factors and pipeline operation factors that affect microbial external corrosion of pipelines in this section mainly include soil pH value, sulfur content, redox potential, total dissolved solids (TDS), carbon content, temperature, insulation layer, anti-corrosion layer, cathodic protection and stray current interference status, and historical corrosion rate of the pipe body.

[0129] Step 3: Calculate the risk of microbial corrosion of pipelines. Figure 2 The method shown is used to assign risk factors for microbial corrosion and calculate risk values. The specific process is as follows:

[0130] (1) The average pH value of soil and groundwater is 7.96, and the results of the six tests are between 5 and 9.5. The corresponding parameter value is f1 = 1.

[0131] (2) S content, the corresponding parameter value is f2=1.

[0132] (3) The average value of total dissolved solids, i.e., mineralization, is 2687 mg / L, and the results of 7 tests are all less than 60 g / L. The corresponding parameter value is f3 = 1.

[0133] (4) The C content was not specifically tested and is therefore ignored here. However, the fertilization process in farmland increases the C, N, and P content in the soil, which is conservatively considered to be beneficial to the growth of microorganisms.

[0134] (5) Temperature factors are affected by both pipeline oil temperature and soil temperature. Figure 3 As shown, the temperature is between 10-45℃ throughout the year.

[0135] (6) This section of pipeline uses a polyurethane insulation layer, which can provide a carbon source for microbial growth. The corresponding parameter value is f5 = 1.

[0136] (7) Previous management experience shows that there is a local crevice corrosion environment at the patching location due to the damage of the insulation layer and the anti-corrosion layer, and the corresponding parameter value is f6 = 1.

[0137] (8) There is no obvious stray current interference in this section of pipeline and the cathodic protection potential meets the standard. The corresponding parameter value is f7 = 0.2.

[0138] (9) Comparison of the internal inspection reports from 2019 and 2023 showed that the maximum corrosion rate of metal loss on the aligned outer wall was 1.434 mm / a, while the maximum corrosion rate on the misaligned outer wall was 1.624 mm / a. Five locations experienced metal loss exceeding 1 mm / a, three of which were new outer wall corrosion. The metal loss growth rate in this section was relatively high, and the corresponding parameter value was f8 = 1.

[0139] (10) Calculate the possible corrosion rate R of microbial external corrosion of pipelines according to formula 4.1 MIC :

[0140] R MIC =n×C×Fa=n×2×(f1×f2×f3×f4×f5×f6×f7×f8)0.57=1.3×2×0.20.57mm / y=1.04mm / y

[0141] Step 4: Qualitative determination criteria for pipeline microbial corrosion risk. According to Table 1, it can be qualitatively determined that the microbial corrosion risk of pipe section A is "high".

[0142] Step 5: Excavation verification.

[0143] To further verify the feasibility and accuracy of this identification method, an excavation inspection was conducted on two external metal loss defects reported in recent inspections of pipe section A. During the excavation process, it was discovered that the soil near the pipeline was dark in color, with obvious soil color changes caused by the presence of SRB and the smell of H2S gas. A large amount of rust was present at the bottom of the pipeline inside the insulation layer, and the welds were severely corroded. X-ray diffraction (XRD) test results of the corrosion products showed that they were mainly FeCO3 and FeS. After the collected soil samples were cultured in the laboratory, a large number of sulfate-reducing bacteria and iron-oxidizing bacteria were found on the surface of the pipe wall, indicating that microbial corrosion was present in this pipe section.

[0144] Through two on-site excavation inspections, the feasibility and accuracy of the pipeline microbial external corrosion risk identification method proposed in this invention were verified.

[0145] The above mainly introduces the solution of the embodiment of the present disclosure from the perspective of method. It can be understood that in order to realize the above functions, the evaluation device includes at least one of the hardware structure and software modules corresponding to the execution of each function. It should be easy for those skilled in the art to realize that, in combination with the units and algorithm steps of each example described in the embodiment disclosed herein, the embodiment of the present disclosure can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the embodiment of the present disclosure.

[0146] The embodiment of the present disclosure can divide the functional modules of the evaluation device according to the above-mentioned method embodiment. For example, each functional module can be divided corresponding to each function, or two or more functions can be integrated into one functional module. The above-mentioned integrated module can be implemented in the form of hardware or software. It should be noted that the division of modules in the embodiment of the present disclosure is schematic and is only a logical function division. There may be other division methods in actual implementation. The following is an example of dividing each functional module corresponding to each function.

[0147] For example, Figure 4 This is a schematic diagram of the composition of an evaluation device provided in an embodiment of the present application. Figure 4 As shown, the evaluation device 400 includes: an acquisition module 401 and a determination module 402 .

[0148] The acquisition module 401 is used to acquire soil environment data and pipeline operation data near the pipeline.

[0149] Determination module 402 is used to determine the influencing parameters of soil environmental data and pipeline operation data on pipeline corrosion events respectively; the influencing parameters are used to reflect the degree of influence on the pipeline corrosion event; the pipeline corrosion event is an event of external microbial corrosion of the pipeline; based on the influencing parameters of soil environmental data and pipeline operation data on the pipeline corrosion event, the pipeline external corrosion rate is determined; and based on the pipeline external corrosion rate, the risk of the pipeline corrosion event is determined.

[0150] In one possible implementation, determination module 402 is specifically configured to determine, based on a relationship between the soil environment data and the corrosion influence range corresponding to the soil environment, an impact parameter of the soil environment data on the pipeline corrosion event; and to determine, based on a relationship between the pipeline operation data and the corrosion influence range corresponding to the pipeline operation, an impact parameter of the pipeline operation data on the pipeline corrosion event.

[0151] In another possible implementation, determination module 402 is specifically configured to determine the external corrosion rate of the pipeline based on the product of an impact parameter of soil environment data on the pipeline corrosion event and an impact parameter of pipeline operation data on the pipeline corrosion event, and a correction coefficient; wherein the correction coefficient is determined based on the historical corrosion rate of the pipeline.

[0152] In another possible implementation, the above pipeline external corrosion rate satisfies the following formula:

[0153] R MIC =n×C×Fn a

[0154] Among them, R MIC represents the external corrosion rate of the pipeline, Fn represents the product of the influencing parameters of soil environment data on pipeline corrosion events and the influencing parameters of pipeline operation data on pipeline corrosion events, n is the correction coefficient, C is a constant, and a is a constant.

[0155] In another possible implementation, the determination module 402 is specifically configured to determine the level of pipeline external corrosion risk according to a relationship between the pipeline external corrosion rate and a preset threshold.

[0156] In another possible implementation, the acquisition module 401 is specifically used to determine whether the environment in which the pipeline is located is an environment suitable for the growth of microorganisms; if the environment in which the pipeline is located is an environment suitable for the growth of microorganisms, the soil environment data and pipeline operation data near the pipeline are acquired.

[0157] In another possible implementation, the soil environmental data includes at least one of the following: soil pH, soil sulfur content, soil carbon content, soil redox potential, soil total dissolved solids, and soil temperature.

[0158] In another possible implementation, the pipeline operation data includes at least one of the following: pipeline temperature, pipeline insulation layer, pipeline anti-corrosion layer, pipeline cathodic protection potential, and historical corrosion rate of the pipeline.

[0159] In the case of implementing the functions of the above-mentioned integrated modules in the form of hardware, the present application embodiment provides a schematic diagram of the composition of the electronic device involved in the above-mentioned embodiment. Figure 5 As shown, the electronic device 500 includes: a processor 502 , a communication interface 503 , and a bus 504 . Optionally, the electronic device 500 may further include a memory 501 .

[0160] Processor 502 may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 502 may be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit, a field-programmable gate array, or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. It may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 502 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, or a combination of a DSP and a microprocessor.

[0161] The communication interface 503 is used to connect to other devices via a communication network, such as Ethernet, wireless access network, wireless local area network (WLAN), etc.

[0162] The memory 501 may be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0163] As a possible implementation, memory 501 can exist independently of processor 502. Memory 501 can be connected to processor 502 via bus 504 to store instructions or program code. When processor 502 calls and executes the instructions or program code stored in memory 501, the pipeline external corrosion risk assessment method provided in the embodiment of the present application can be implemented.

[0164] In another possible implementation, the memory 501 may also be integrated with the processor 502 .

[0165] The bus 504 may be an extended industry standard architecture (EISA) bus, etc. The bus 504 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0166] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional modules as needed, that is, the internal structure of the evaluation device can be divided into different functional modules to complete all or part of the functions described above.

[0167] The embodiment of the present application also provides a computer-readable storage medium. All or part of the processes in the above-mentioned method embodiment can be completed by computer instructions to the relevant hardware, and the program can be stored in the above-mentioned computer-readable storage medium. When the program is executed, it may include the processes of the above-mentioned method embodiments. The computer-readable storage medium can be the memory or memory of any of the aforementioned embodiments. The above-mentioned computer-readable storage medium can also be an external storage device of the above-mentioned evaluation device, such as a plug-in hard disk, a smart memory card (smart media card, SMC), a secure digital (secure digital, SD) card, a flash card (flash card), etc. equipped on the above-mentioned evaluation device. Further, the above-mentioned computer-readable storage medium can also include both the internal storage unit of the above-mentioned evaluation device and an external storage device. The above-mentioned computer-readable storage medium is used to store the above-mentioned computer program and other programs and data required by the above-mentioned evaluation device. The above-mentioned computer-readable storage medium can also be used to temporarily store data that has been output or is to be output.

[0168] An embodiment of the present application further provides a computer program product, which includes a computer program. When the computer program product is run on a computer, the computer is caused to execute any one of the pipeline external corrosion risk assessment methods provided in the above embodiments.

[0169] The above are only specific embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any changes or replacements within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for assessing the risk of external corrosion of a pipeline, characterized in that: The method comprises: Obtain soil environment data and pipeline operation data near the pipeline; Determining the influencing parameters of the soil environment data and the pipeline operation data on the pipeline corrosion event respectively; the influencing parameters are used to reflect the degree of influence on the pipeline corrosion event; the pipeline corrosion event is an event of external microbial corrosion of the pipeline; Determining the external corrosion rate of the pipeline based on the influencing parameters of the soil environment data and the pipeline operation data on the pipeline corrosion event; The risk of the pipeline corrosion event occurring is determined based on the pipeline external corrosion rate.

2. The method according to claim 1, characterized in that The determining of the influencing parameters of the soil environment data and the pipeline operation data on the pipeline corrosion event respectively includes: Determining the impact parameters of the soil environment data on pipeline corrosion events based on the relationship between the soil environment data and the corrosion impact range corresponding to the soil environment; According to the relationship between the pipeline operation data and the corrosion impact range corresponding to the pipeline operation, the impact parameter of the pipeline operation data on the pipeline corrosion event is determined.

3. The method according to claim 1, characterized in that Determining the external corrosion rate of the pipeline based on the influencing parameters of the soil environment data and the pipeline operation data on the pipeline corrosion event includes: The external corrosion rate of the pipeline is determined based on the product of the influencing parameter of the soil environment data on the pipeline corrosion event and the influencing parameter of the pipeline operation data on the pipeline corrosion event, and a correction coefficient; wherein the correction coefficient is determined based on the historical corrosion rate of the pipeline.

4. The method according to claim 3, characterized in that The external corrosion rate of the pipeline satisfies the following formula: R MIC =n×C×Fn a Among them, the R MIC represents the external corrosion rate of the pipeline, Fn represents the product of the influencing parameter of the soil environment data on the pipeline corrosion event and the influencing parameter of the pipeline operation data on the pipeline corrosion event, n is the correction coefficient, C is a constant, and a is a constant.

5. The method according to claim 1, wherein Determining the pipeline external corrosion risk according to the pipeline external corrosion rate includes: The level of the pipeline external corrosion risk is determined according to the relationship between the pipeline external corrosion rate and a preset threshold.

6. The method according to claim 1, characterized in that The acquisition of soil environment data and pipeline operation data near the pipeline includes: Determining whether the environment in which the pipeline is located is an environment suitable for microbial growth; When the environment in which the pipeline is located is an environment suitable for the growth of microorganisms, soil environment data and pipeline operation data near the pipeline are obtained.

7. The method according to claim 1, characterized in that The soil environment data includes at least one of the following: Soil pH, soil sulfur content, soil carbon content, soil redox potential, soil total dissolved solids, soil temperature.

8. The method according to claim 1, characterized in that The pipeline operation data includes at least one of the following: Pipeline temperature, pipeline insulation layer, pipeline anti-corrosion layer, pipeline cathodic protection potential, and historical corrosion rate of the pipeline.

9. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the processor is coupled to the memory; the memory is used to store computer instructions, and the computer instructions are loaded and executed by the processor to enable the computer device to implement the method for assessing the external corrosion risk of a pipeline according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium includes computer-executable instructions, and when the computer-executable instructions are executed on a computer, the computer is enabled to execute the method for assessing the risk of external corrosion of a pipeline according to any one of claims 1 to 8.

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