CN116242771A - Oil gas pipeline stray current corrosion monitoring system based on digital twinning - Google Patents
Oil gas pipeline stray current corrosion monitoring system based on digital twinning Download PDFInfo
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Abstract
The invention relates to a digital twin-based oil and gas pipeline stray current corrosion monitoring system which comprises a monitoring data registration module, a monitoring data creation module and a monitoring management module, wherein the monitoring management module receives oil and gas pipeline multi-parameter monitoring data, environment factor monitoring data and digital twin-body model real-time calculation result data stored by a cloud platform, and is used for predicting and calculating the residual life of the oil and gas pipeline at the current moment based on an LSTM algorithm.
Description
Technical Field
The invention relates to the field of oil and gas pipelines, in particular to a digital twinning-based oil and gas pipeline stray current corrosion monitoring system.
Background
At present, the oil and gas pipeline can be corroded by stray current when crossing towns and nearby areas, and the safe operation of a plurality of systems is seriously affected. The monitoring of the oil and gas pipeline in the area has the problems of distributed sensors and distributed data sources, so that the monitoring data is difficult to collect uniformly to comprehensively analyze the corrosion condition of the pipeline, and the corrosion development condition cannot be accurately represented by single sensing data. As a corrosion source, the monitoring data of the subway direct current traction system is difficult to be fused with the monitoring data of the oil and gas pipeline system, so that the subway direct current traction system cannot be matched with the oil and gas pipeline operation system.
The intelligent pipe network is the future development direction of the oil gas pipe network system, and the intelligent and visual monitoring of the oil gas pipeline is in need of further development. Therefore, a system is urgently needed at present to solve the problems of poor data dispersion and fusion, low intelligence and low visualization degree in oil and gas pipelines.
Disclosure of Invention
Aiming at the defects of the prior art, the technical problem to be solved by the invention is to provide the digital twinning-based oil and gas pipeline stray current corrosion monitoring system which can monitor the oil and gas pipeline stray current corrosion situation for a long time and can discover the possible danger in advance so as to carry out safe monitoring management.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a digital twinning-based oil and gas pipeline stray current corrosion monitoring system, the monitoring system comprising:
the monitoring data registration module is used for uploading the collected electric monitoring data, the oil and gas pipeline multi-parameter monitoring data and the environment monitoring data information of the adjacent subway direct current traction system to the cloud platform according to preset basic information;
the monitoring data creation module is used for calling cloud platform monitoring data in real time as dynamic boundary conditions, constructing a corresponding constitutive model of oil and gas pipeline stray current corrosion under the coupling effect by utilizing basic information parameters preset by the oil and gas pipeline in the parameter library and combining with alternating electric field, stress field, temperature field and soil physical parameters, and constructing a dynamic digital twin body model of the oil and gas pipeline by a finite element method; performing grid division on the generated digital twin body model, calling/calculating the distribution situation of the polarization potential and the geometric deformation of the oil and gas pipeline under the current boundary condition in real time, and uploading the calculation result to a cloud platform;
the monitoring management module comprises a data monitoring module and a data correction module; the data monitoring module is used for carrying out prediction calculation on the residual life of the oil and gas pipeline at the current moment based on an LSTM algorithm by receiving oil and gas pipeline multi-parameter monitoring data, environment factor monitoring data and digital twin body model real-time calculation result data stored by the cloud platform, generating predicted oil and gas pipeline inner pipeline wall thickness thinning trend data according to a statistical result, and storing the predicted oil and gas pipeline inner pipeline wall thickness thinning trend data to the development platform; and the data correction module acquires a correction coefficient according to the current corrosion depth and the real-time residual life prediction result and pipeline wall thickness prediction result data sent by the monitoring management module, and corrects the residual life prediction.
Further, the preset basic information comprises pipeline length, wall thickness, outer diameter, soil resistivity, subway locomotive traction current and traction interval length.
Further, the electrical parameters of the direct current traction system of the subway nearby comprise traction section steel rail potential monitoring information, rail-ground transition resistance monitoring information, track potential controller state monitoring information and traction section reinforced concrete main body structure polarization potential monitoring information.
Further, the oil gas pipeline polarization potential monitoring information, cathode protection potential monitoring information and pipeline internal operation pressure monitoring information.
Further, the environmental parameters include soil resistivity distribution information, soil pH distribution information, and soil temperature distribution information.
Further, the constitutive model comprises a constitutive model of an alternating electric field, a constitutive model of stress field to corrosion synergistic effect, a constitutive model of temperature field to corrosion synergistic effect and a constitutive model of soil environment factor to corrosion synergistic effect.
Further, the monitoring system can communicate with the appointed mobile terminal through the communication module, and can call/check corresponding data information according to the control instruction sent by the mobile terminal.
Further, the monitoring system also comprises a maintenance decision module for uploading/storing the oil and gas pipeline corrosion maintenance information.
Further, the monitoring system can display monitoring parameter information of each oil and gas pipeline through a graphical interface.
The invention has the beneficial effects that:
1. the invention utilizes the digital twin technology to realize the real-time monitoring and management of the pipeline state change in the oil and gas pipeline, effectively pre-judges the pipeline safety condition in advance and reduces the pre-known potential risk.
2. The invention utilizes the digital twin body real-time simulation calculation of multi-physical field coupling and the oil gas pipeline residual life prediction based on intelligent learning algorithm to solve the problems of poor visualization degree and lack of health condition prediction function in the stray current monitoring and protecting process of the current oil gas pipeline network system.
3. The invention senses the change of a specific monitoring scene and a monitoring environment through the constitutive model, adjusts the constitutive model in real time according to the change of the monitoring data, and ensures the accuracy and rationality of the predicted data.
The foregoing description is only an overview of the present invention, and is intended to provide a better understanding of the present invention, as it is embodied in the following description, with reference to the preferred embodiments of the present invention and the accompanying drawings.
Drawings
FIG. 1 is a schematic diagram of the working principle of the digital twinning-based oil and gas pipeline stray current corrosion monitoring system.
FIG. 2 is a flow chart of the creation and calculation of monitoring data for the digital twinning-based oil and gas pipeline stray current corrosion monitoring system of the present invention.
FIG. 3 is a flow chart of oil and gas pipeline life prediction based on the digital twinning-based oil and gas pipeline stray current corrosion monitoring system of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of description and to simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the invention, it should be noted that, unless explicitly stated and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
In addition, the technical features of the different embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
As shown in fig. 1, the present embodiment refers to a digital twinning-based oil and gas pipeline stray current corrosion monitoring system, which includes:
and the monitoring data registration module is used for uploading the collected electric monitoring data of the adjacent subway direct current traction system, the collected multi-parameter monitoring data of the oil and gas pipeline and the collected environmental monitoring data information to the cloud platform according to preset basic information.
The monitoring data creation module is used for calling cloud platform monitoring data in real time as dynamic boundary conditions, constructing a corresponding constitutive model of oil and gas pipeline stray current corrosion under the coupling effect by utilizing basic information parameters preset by the oil and gas pipeline in the parameter library and combining with alternating electric field, stress field, temperature field and soil physical parameters, and constructing a dynamic digital twin body model of the oil and gas pipeline by a finite element method; and carrying out grid division on the generated digital twin body model, calling/calculating the distribution condition of the polarization potential and the geometric deformation of the oil and gas pipeline under the current boundary condition in real time, and uploading the calculation result to the cloud platform.
The monitoring management module comprises a data monitoring module and a data correction module; the data monitoring module is used for carrying out prediction calculation on the residual life of the oil and gas pipeline at the current moment based on an LSTM algorithm by receiving oil and gas pipeline multi-parameter monitoring data, environment factor monitoring data and digital twin body model real-time calculation result data stored by the cloud platform, generating predicted oil and gas pipeline inner pipeline wall thickness thinning trend data according to a statistical result, and storing the predicted oil and gas pipeline inner pipeline wall thickness thinning trend data to the development platform; and the data correction module is used for obtaining correction coefficients according to the current corrosion depth and the real-time residual life prediction result and pipeline wall thickness prediction result data sent by the monitoring management module and correcting the residual life prediction.
Monitoring data registration module
And uploading the acquired electrical parameters, the oil gas pipeline multiparameter and the environmental parameter information of the adjacent subway direct current traction system to the cloud platform according to preset basic information.
Firstly, presetting basic information, wherein the basic information comprises the following parts: pipeline length, wall thickness, outer diameter, soil resistivity, subway locomotive traction current and traction interval length are initialized and stored in a parameter library locally on a development platform. Acquiring electric parameters of a direct current traction system of the adjacent subway, wherein the electric parameters comprise traction section steel rail potential monitoring information, rail-ground transition resistance monitoring information, track potential controller state monitoring information and traction section reinforced concrete main structure polarization potential monitoring information; the oil gas pipeline multiparameter comprises oil gas pipeline polarization potential monitoring information, cathode protection potential monitoring information and pipeline internal operation pressure monitoring information; the environmental factor monitoring includes soil resistivity distributed information, soil pH distributed information, and soil temperature distributed information.
For example, the digital twin system architecture of the oil and gas pipeline of the present embodiment is composed of the following hardware parts: cloud platform, sensor system, host computer, central workstation, oil gas pipeline physical entity, communication transmission network switch. The cloud platform adopts a Microsoft Azure cloud platform, a communication transmission network from a central workstation to the cloud platform adopts a 5G network, a communication transmission network from a sensing system to an upper computer adopts a SCADA system, and the upper computer fuses multi-source heterogeneous data acquired by the sensing system and then uploads the multi-source heterogeneous data to the cloud platform through the 5G network; the digital twin system consists of the following functions: initializing and storing preset data of a direct current traction system and an oil and gas pipeline system close to the subway; the long-distance multi-parameter monitoring of the oil gas pipeline is close to the electrical parameter monitoring of the subway direct current traction system, and the environmental factor monitoring is carried out; oil gas pipeline multi-parameter monitoring data storage based on Microsoft Azure cloud platform, and multi-source information fusion of an oil gas pipeline monitoring system and a subway direct current traction system; constructing an oil gas pipeline digital twin body based on a development platform; the oil and gas pipeline corrosion depth and residual life prediction integrated on the development platform; and (5) simulating and predicting data cloud storage.
The oil gas pipeline multi-parameter monitoring data storage based on the Microsoft Azure cloud platform is used for integrating the multi-source information of the oil gas pipeline monitoring system and the subway direct current traction system, and the oil gas pipeline multi-parameter monitoring data, the electrical monitoring data of the adjacent subway direct current traction system and the environmental factor monitoring data are uniformly uploaded to the cloud platform to realize the multi-source information integration.
(II) monitoring data creation module
The cloud platform monitoring data are called in real time to serve as dynamic boundary conditions, basic information parameters preset by the oil gas pipeline in the parameter library are combined with alternating electric field, stress field, temperature field and soil physical parameters, a corresponding constitutive model of stray current corrosion of the oil gas pipeline is built under the coupling effect, and a dynamic digital twin body model of the oil gas pipeline is built through a finite element method; and carrying out grid division on the generated digital twin body model, calling/calculating the distribution condition of the polarization potential and the geometric deformation of the oil and gas pipeline under the current boundary condition in real time, and uploading the calculation result to the cloud platform.
As shown in fig. 2, firstly, multi-parameter monitoring data of an oil gas pipeline of a Microsoft Azure cloud platform, electric monitoring data of a direct current traction system of an adjacent subway and environmental factor monitoring data are taken as dynamic boundary conditions through a development platform in real time, meanwhile, based on geometric initial parameters of the oil gas pipeline in a parameter library, a dynamic digital twin body model of the oil gas pipeline is built by combining with a stray current corrosion constitutive model of the oil gas pipeline under the coupling action of multiple physical fields such as an alternating electric field, a stress field, a temperature field and soil, and a finite element method, visualization of a twin object of a physical entity of the pipeline, visualization of a twin structure and visualization of a twin process are realized, the digital model of the oil gas pipeline divides a calculation grid through tetrahedron, polarization potential and geometric deformation distribution conditions of the oil gas pipeline under the current boundary conditions are calculated in the Microsoft Azure cloud platform in real time based on the real-time monitoring data, and then the digital model is downloaded to a central workstation for display and data taking. The calculation results of the oil and gas pipeline digital twin body model comprise but are not limited to polarization potential, electrolyte current density distribution, pipe wall geometric deformation distribution and the like, and the analysis of the results in the central working station comprises but is not limited to a polarization potential distribution curve along the pipeline direction, radial distribution of wall thickness at a specific position on the pipeline, a space distribution cloud image of electrolyte current density around the pipeline and a current flow direction image.
The constitutive model of the alternating electric field is expressed as:
i a +i c ＝-(n·i s )；
i a +i c ＝n·i e ；
wherein i is a And i c Anode and cathode current densities, respectively; i.e s And i e The electrode and electrolyte current densities, respectively; sigma (sigma) s Sum sigma e The conductivity of the electrode and the electrolyte respectively;
and->
Respectively the electrolysis and electrolyte potentials.
The constitutive model of stress field synergy to corrosion is expressed as:
wherein ΔE is e,a e Is the anode balance potential offset value under elastic deformation; ΔE e,a p Is the equilibrium potential offset value under plastic deformation; e (E) e,a Is anode balance potential; e (E) e,a 0 Is the standard anode balance potential; f is Faraday constant; ΔP is 1/3 of the uniaxial tensile stress at internal pressure; v (V) m Is molar volume; z is the number of electrons; n (N) 0 The dislocation initial density before plastic deformation; v is a direction dependent factor; alpha is a constant coefficient (1.67×10) 11 cm -2 ) The method comprises the steps of carrying out a first treatment on the surface of the R is a gas constant; i.e 0,c Exchanging current density for the cathode; sigma (sigma) Mises Is von mises pressure; beta c Is the cathode Tafel slope.
The constitutive model of the synergistic effect of the temperature field on corrosion is expressed as:
wherein C is v Is the volumetric heat capacity; t is absolute temperature; lambda is the coefficient of thermal conductivity; q is constant temperature density.
The constitutive model of the synergistic effect of soil environmental factors on corrosion is expressed as follows:
wherein i is Fe A charge transfer current density for the anode; i.e Fe 0 Exchanging current density for the anode; η (eta) Fe Is an anodic overpotential; beta Fe Is the anode Tafel slope; s is S r Is the saturation of soil; v (V) Fe(OH)3 Is Fe (OH) 3 A thickness increment; d (D) O2 Is O 2 Effective diffusivity; phi is the porosity; d (D) a 0 Is the diffusion coefficient of oxygen in the air; h is a dimensionless henry equilibrium constant; d (D) w 0 Is the diffusion coefficient of oxygen in water; c (C) O2 Is the concentration of diffused oxygen; i.e O2 Exchanging current density for oxygen charge; c (C) O2 r Is the reference oxygen concentration; i.e O2 0 Exchanging current density for the cathode; η (eta) O2 Is the cathode overpotential; beta O2 Is the cathode Tafel slope.
(III) monitoring management module
As shown in fig. 3, the monitoring management module of the present embodiment includes a data monitoring module and a data correction module; the data monitoring module is used for carrying out predictive calculation on the residual life of the oil and gas pipeline at the current moment based on an LSTM algorithm by receiving multi-parameter monitoring data, environment factor monitoring data and digital twin body model real-time calculation result data of the oil and gas pipeline stored by the cloud platform, generating predicted pipeline wall thickness thinning trend data in the oil and gas pipeline according to the statistical result, and storing the predicted pipeline wall thickness thinning trend data to the development platform; and the data correction module is used for obtaining correction coefficients according to the current corrosion depth and the real-time residual life prediction result and pipeline wall thickness prediction result data sent by the monitoring management module and correcting the residual life prediction.
For example, by calling multi-parameter monitoring data, environmental factor monitoring data and digital twin body model real-time calculation results of the oil and gas pipeline stored in the Microsoft Azure cloud platform, constructing an oil and gas pipeline residual life prediction calculation model taking the current moment as a starting point in integrated software in a development platform based on an LSTM algorithm, uploading the model into the Microsoft Azure cloud platform for calculation so as to obtain a thinning trend of the wall thickness of the oil and gas pipeline changing along with time in a long time in the future, and downloading the result to a central workstation for result display and data calling after calculation is completed. The corrosion depth and the residual life prediction model are differenced with the pipeline wall thickness prediction result through the oil and gas pipeline digital twin body model real-time calculation result, and the correction coefficient is obtained to correct the prediction result, update the residual life prediction model and improve the prediction precision of the prediction model.
The cloud storage of simulation data and prediction data and the twin-body visualization based on the development platform refer to uploading a digital twin-body model real-time calculation result and a residual life prediction result to the cloud storage, and downloading the digital twin-body model real-time calculation result and the residual life prediction result to the development platform at the same time to realize real-time visualization.
In addition, the Microsoft Azure cloud platform also comprises a maintenance decision module which is used for making oil and gas pipeline corrosion protection and daily maintenance strategies. Meanwhile, the handheld device APP is developed, so that a worker can conveniently call the digital twin body real-time calculation result in real time during operation, and data support is provided for targeted protection of pipelines.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (9)
1. A digital twinning-based oil and gas pipeline stray current corrosion monitoring system, the monitoring system comprising:
the monitoring data registration module is used for uploading the collected electric monitoring data, the oil and gas pipeline multi-parameter monitoring data and the environment monitoring data information of the adjacent subway direct current traction system to the cloud platform according to preset basic information;
the monitoring data creation module is used for calling cloud platform monitoring data in real time as dynamic boundary conditions, constructing a corresponding constitutive model of oil and gas pipeline stray current corrosion under the coupling effect by utilizing basic information parameters preset by the oil and gas pipeline in the parameter library and combining with alternating electric field, stress field, temperature field and soil physical parameters, and constructing a dynamic digital twin body model of the oil and gas pipeline by a finite element method; performing grid division on the generated digital twin body model, calculating the polarization potential and geometric deformation distribution situation of the oil and gas pipeline under the current boundary condition in real time, and uploading the calculation result to a cloud platform;
the monitoring management module comprises a data monitoring module and a data correction module; the data monitoring module is used for carrying out prediction calculation on the residual life of the oil and gas pipeline at the current moment based on an LSTM algorithm by receiving oil and gas pipeline multi-parameter monitoring data, environment factor monitoring data and digital twin body model real-time calculation result data stored by the cloud platform, generating predicted oil and gas pipeline inner pipeline wall thickness thinning trend data according to a statistical result, and storing the predicted oil and gas pipeline inner pipeline wall thickness thinning trend data to the development platform; and the data correction module acquires a correction coefficient according to the current corrosion depth and the real-time residual life prediction result and pipeline wall thickness prediction result data sent by the monitoring management module, and corrects the residual life prediction.
2. The digital twinning-based oil and gas pipeline stray current corrosion monitoring system according to claim 1, wherein the preset basic information comprises pipeline length, wall thickness, outer diameter, soil resistivity, subway locomotive traction current and traction interval length.
3. The digital twinning-based oil and gas pipeline stray current corrosion monitoring system according to claim 1, wherein the electrical parameters of the adjacent subway direct current traction system comprise traction section steel rail potential monitoring information, rail-ground transition resistance monitoring information, rail potential controller state monitoring information and traction section reinforced concrete main structure polarization potential monitoring information.
4. The digital twinning-based oil and gas pipeline stray current corrosion monitoring system according to claim 1, wherein the oil and gas pipeline polarization potential monitoring information, cathodic protection potential monitoring information and pipeline internal operating pressure monitoring information.
5. The digital twinning-based oil and gas pipeline stray current corrosion monitoring system according to claim 1, wherein the environmental parameters include soil resistivity distributed information, soil pH distributed information, and soil temperature distributed information.
6. The digital twinning-based oil and gas pipeline stray current corrosion monitoring system according to claim 1, wherein the constitutive model comprises a constitutive model of an alternating electric field, a constitutive model of stress field to corrosion synergy, a constitutive model of temperature field to corrosion synergy and a constitutive model of soil environmental factors to corrosion synergy.
7. The digital twinning-based oil and gas pipeline stray current corrosion monitoring system according to claim 1, wherein the monitoring system is communicated with a designated mobile terminal through a communication module, and corresponding data information is called/checked according to a control instruction sent by the mobile terminal.
8. The digital twinning-based oil and gas pipeline stray current corrosion monitoring system according to claim 1, further comprising a maintenance decision module for uploading/storing oil and gas pipeline corrosion maintenance information.
9. The digital twinning-based oil and gas pipeline stray current corrosion monitoring system according to claim 1, wherein the monitoring system can display monitoring parameter information of each oil and gas pipeline through a graphical interface.
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| CN116482227A (en) * | 2023-06-25 | 2023-07-25 | 北京英智数联科技有限公司 | Pipeline corrosion monitoring method, device and system |
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| CN116482227A (en) * | 2023-06-25 | 2023-07-25 | 北京英智数联科技有限公司 | Pipeline corrosion monitoring method, device and system |
| CN116482227B (en) * | 2023-06-25 | 2023-10-20 | 北京英智数联科技有限公司 | Pipeline corrosion monitoring method, device and system |
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