State evaluation method and system for oil-gas pipe network

Abstract

The invention discloses a state evaluation method and system for an oil-gas pipe network, and relates to the technical field of oil-gas pipe networks, and the method comprises the steps: obtaining and evaluating the blocking degree of a to-be-evaluated multiphase flow pipeline according to the inlet end flow and the outlet end flow of the to-be-evaluated multiphase flow pipeline in the oil-gas pipe network; acquiring the real-time pipe wall thickness of the to-be-evaluated multiphase flow pipeline, and evaluating the corrosion degree of the to-be-evaluated multiphase flow pipeline according to the real-time pipe wall thickness; the real-time temperature of the environment where the to-be-evaluated multiphase flow pipeline is located is obtained, the density of fluid in the to-be-evaluated multiphase flow pipeline is predicted according to the real-time temperature, and the metal fatigue degree of the to-be-evaluated multiphase flow pipeline is estimated according to the density of the fluid; and evaluating the pipe network state of the to-be-evaluated multiphase flow pipeline according to the blockage degree, the corrosion degree and the metal fatigue degree of the to-be-evaluated multiphase flow pipeline. According to the invention, the pipe network state of the oil-gas pipe network can be automatically evaluated, the workload of workers is reduced, and the evaluation efficiency and accuracy are improved.

Description

Background Art

[0002] The oil and gas pipeline network is an important part of the modern energy system, and it is crucial to ensure its safe and stable operation. However, due to the complexity of the oil and gas pipeline network itself and the diversity of the environment in which it is located, it is not easy to conduct a comprehensive and accurate assessment of its status. In order to solve this problem, the oil and gas pipeline network status assessment came into being.

[0003] Oil and gas pipeline network status assessment is a technology based on data analysis and model prediction. It collects, processes and analyzes the operating data of the pipeline system to quickly understand the status of the pipeline system. The value of oil and gas pipeline network status assessment lies not only in timely detection of problems, but also in helping system managers take appropriate countermeasures.

[0004] Oil and gas pipeline network status assessment not only ensures the safe and stable operation of the pipeline system, but also helps to achieve energy conservation and environmental protection. By timely discovering and resolving potential safety hazards, oil and gas pipeline network status assessment can reduce the occurrence of accidents and reduce energy losses. In addition, by optimizing the operation of the pipeline system, oil and gas pipeline network status assessment can also improve energy utilization efficiency and reduce the impact on the environment.

[0005] In short, oil and gas pipeline network status assessment is an indispensable part of the modern energy system. Therefore, it is of great significance to invent a pipeline network status assessment method for multiphase flow pipeline networks. Summary of the invention

[0006] The technical problem to be solved by the present invention is to address the deficiencies of the prior art and specifically provide a method and system for evaluating the status of an oil and gas pipeline network, as follows: 1) In the first aspect, the present invention provides a method for evaluating the status of an oil and gas pipeline network, and the specific technical solution is as follows: Obtaining and evaluating the blockage degree of the multiphase flow pipeline to be evaluated based on the inlet flow rate and the outlet flow rate of the multiphase flow pipeline to be evaluated in the oil and gas pipeline network; Obtaining and evaluating the corrosion degree of the multiphase flow pipeline to be evaluated based on the real-time wall thickness of the multiphase flow pipeline to be evaluated; Obtain and predict the density of the fluid in the multiphase flow pipeline to be evaluated based on the real-time temperature of the environment in which the multiphase flow pipeline to be evaluated is located, and estimate the metal fatigue degree of the multiphase flow pipeline to be evaluated based on the density of the fluid; The network status of the multiphase flow pipeline to be evaluated is evaluated according to the blockage degree, corrosion degree and metal fatigue degree of the multiphase flow pipeline to be evaluated.

[0007] The beneficial effects of the oil and gas pipeline network status assessment method provided by the present invention are as follows: The present invention can timely discover abnormal conditions of the pipeline, such as blockage, corrosion, etc., by evaluating the status of the oil and gas pipeline network, so that targeted repairs and replacements can be carried out, maintenance costs and downtime can be reduced, and the convenience and efficiency of pipeline maintenance can be improved; the use of intelligent technology for data collection, processing and analysis can automatically evaluate the status of the oil and gas pipeline network, reduce the manual workload, and improve the evaluation efficiency and accuracy. Moreover, the present invention can obtain the flow data of the inlet and outlet ends of the multiphase flow pipeline to be evaluated, the real-time pipe wall thickness, and the real-time temperature data of the environment, so as to fully understand the performance and safety performance of the pipeline.

[0008] 2) In a second aspect, the present invention further provides a state assessment system for an oil and gas pipeline network, and the specific technical scheme is as follows: comprising a fluid flow detection unit, a pipe wall thickness detection unit, a temperature detection unit and a data analysis unit; The fluid flow detection unit is used to: obtain the inlet flow rate and outlet flow rate of the multiphase flow pipeline to be evaluated in the oil and gas pipeline network; The pipe wall thickness detection unit is used to: obtain the real-time pipe wall thickness of the multiphase flow pipeline to be evaluated; The temperature detection unit is used to: obtain the real-time temperature of the multiphase flow pipeline to be evaluated; The data analysis unit is used to: evaluate the blockage degree of the multiphase flow pipeline to be evaluated according to the inlet flow rate and the outlet flow rate of the multiphase flow pipeline to be evaluated; evaluate the corrosion degree of the multiphase flow pipeline to be evaluated according to the real-time wall thickness of the multiphase flow pipeline to be evaluated; predict the density of the fluid in the multiphase flow pipeline to be evaluated according to the real-time temperature of the environment in which the multiphase flow pipeline to be evaluated is located, and estimate the metal fatigue degree of the multiphase flow pipeline to be evaluated according to the density of the fluid; evaluate the pipeline network status of the multiphase flow pipeline to be evaluated according to the blockage degree, corrosion degree and metal fatigue degree of the multiphase flow pipeline to be evaluated.

[0009] 3) In a third aspect, the present invention further provides a computer device, comprising a processor, the processor being coupled to a memory, the memory storing at least one computer program, the at least one computer program being loaded and executed by the processor, so that the computer device implements any of the above-mentioned oil and gas pipeline network status assessment methods.

[0010] 4) In a fourth aspect, the present invention further provides a computer-readable storage medium, in which at least one computer program is stored, and the at least one computer program is loaded and executed by a processor so that a computer implements any of the above-mentioned oil and gas pipeline network status assessment methods.

[0011] It should be noted that the beneficial effects achieved by the technical solutions of the second to fourth aspects of the present invention and the corresponding possible implementation methods can be found in the above-mentioned technical effects of the first aspect and its corresponding possible implementation methods, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings: Figure 1 A schematic diagram of a flow chart of a method for evaluating the state of an oil and gas pipeline network according to an embodiment of the present invention; Figure 2 A schematic diagram of the structure of a state assessment system for an oil and gas pipeline network according to an embodiment of the present invention; Figure 3 The figure is a schematic diagram of the structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0013] To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0014] like Figure 1 As shown, a method for evaluating the status of an oil and gas pipeline network according to an embodiment of the present invention includes the following steps: S1. Obtain and evaluate the blockage degree of the multiphase flow pipeline to be evaluated based on the inlet flow rate and the outlet flow rate of the multiphase flow pipeline to be evaluated in the oil and gas pipeline network; S2. Obtain and evaluate the corrosion degree of the multiphase flow pipeline to be evaluated based on the real-time wall thickness of the multiphase flow pipeline to be evaluated; S3, obtaining and predicting the density of the fluid in the multiphase flow pipeline to be evaluated according to the real-time temperature of the environment in which the multiphase flow pipeline to be evaluated is located, and estimating the metal fatigue degree of the multiphase flow pipeline to be evaluated according to the density of the fluid; S4. Evaluate the network status of the multiphase flow pipeline to be evaluated according to the blockage degree, corrosion degree and metal fatigue degree of the multiphase flow pipeline to be evaluated.

[0015] The oil and gas pipeline network is a multiphase flow pipeline network composed of a number of multiphase flow pipelines. The multiphase flow pipeline network is connected to an oil and gas separation station, and the oil and gas separation station is used to receive the fluid in the multiphase flow pipeline.

[0016] Optionally, in S1, evaluating the blockage degree of the multiphase flow pipeline to be evaluated according to the inlet flow rate and the outlet flow rate of the multiphase flow pipeline to be evaluated in the oil and gas pipeline network includes: S10, calculating the flow difference and flow ratio between the inlet flow and the outlet flow, the flow difference is calculated as: ΔF=F0-F1, the flow ratio is calculated as: Fx=F0 / F1, where ΔF represents the flow difference, F0 represents the inlet flow, F1 represents the outlet flow, and Fx represents the flow ratio; S11, calculating the flow quotient value of the flow difference and the flow ratio, the flow quotient value calculation formula is: Fy = ΔF / Fx, Fy represents the flow quotient value; S12. Preset a preset flow quotient value, compare the flow quotient value with the preset flow quotient value, and evaluate the blockage degree of the multiphase flow pipeline to be evaluated according to the comparison result.

[0017] Optionally, in S12, comparing the flow quotient value with a preset flow quotient value, and evaluating the blockage degree of the multiphase flow pipeline to be evaluated according to the comparison result, includes: S120, when the flow quotient value is less than the preset flow quotient value, it is determined that the multiphase flow pipeline to be evaluated is not blocked, and the blockage degree of the multiphase flow pipeline to be evaluated is 0; S121. When the flow quotient value is not less than a preset flow quotient value, it is determined that the multiphase flow pipeline to be evaluated is blocked, and a flow quotient difference between the flow quotient value and the preset flow quotient value is calculated; S122: A first preset flow quotient difference value and a second preset flow quotient difference value are preset, and the first preset flow quotient difference value is smaller than the second preset flow quotient difference value, then: 1) When the flow quotient difference is less than the first preset flow quotient difference, the blockage degree of the multiphase flow pipeline to be evaluated is assessed to be slight blockage; 2) When the flow quotient difference is not less than the first preset flow quotient difference and less than the second preset flow quotient difference, the blockage degree of the multiphase flow pipeline to be evaluated is assessed to be moderate blockage; 3) When the flow quotient difference is not less than the second preset flow quotient difference, the blockage degree of the multiphase flow pipeline to be evaluated is evaluated as severe blockage.

[0018] Optionally, in S2, evaluating the corrosion degree of the multiphase flow pipeline to be evaluated according to the real-time wall thickness of the multiphase flow pipeline to be evaluated includes: S20. Preset a preset wall thickness, divide the multiphase flow pipeline to be evaluated into n sections on average, and obtain n multiphase flow pipeline sections. S21. Evaluate the corrosion degree of each multiphase flow pipeline section by using the preset wall thickness and the real-time wall thickness of each multiphase flow pipeline section, and evaluate the corrosion degree of the multiphase flow pipeline to be evaluated based on the corrosion degree evaluation results of all multiphase flow pipeline sections.

[0019] Optionally, the corrosion degree of any multiphase flow pipeline section is evaluated, including: S210, obtaining the pipe wall thickness of several points in any multiphase flow pipeline section, calculating the average value of the pipe wall thickness of the several points, and using the average value as the real-time pipe wall thickness of any multiphase flow pipeline section; S211. Calculate the thickness ratio between the average value and the preset thickness of the pipe wall. The thickness ratio is calculated by the formula: T=t / T0, where T represents the thickness ratio, t represents the average value, and T0 represents the preset thickness of the pipe wall. Then: 1) When T is less than 1, the corrosion degree evaluation result of any multiphase flow pipeline section is corroded; 2) When T is equal to 1, the corrosion degree evaluation result of any multiphase flow pipeline section is not corroded; 3) When T is greater than 1, the corrosion degree evaluation result of any multiphase flow pipeline section is that there is deposit.

[0020] Optionally, in S21, the corrosion degree of the multiphase flow pipeline to be evaluated is evaluated according to the corrosion degree evaluation results of all multiphase flow pipeline sections, including: S212, presetting a first corrosion preset number and a second corrosion preset number, and the first corrosion preset number is smaller than the second corrosion preset number, obtaining the number m of all multiphase flow pipeline sections where T is smaller than 1, then: 1) When m is less than the first corrosion preset number and greater than 0, the corrosion degree of the multiphase flow pipeline to be evaluated is evaluated as mild corrosion; 2) When m is greater than the first corrosion preset number and less than the second corrosion preset number, the corrosion degree of the multiphase flow pipeline to be evaluated is assessed as moderate corrosion; 3) When m is greater than the second corrosion preset number, the corrosion degree of the multiphase flow pipeline to be evaluated is evaluated as severe corrosion.

[0021] Optionally, the fluid in the multiphase flow pipeline to be evaluated is a mixed fluid of crude oil and natural gas, and obtaining and predicting the density of the fluid in the multiphase flow pipeline to be evaluated according to the real-time temperature of the environment in which the multiphase flow pipeline to be evaluated is located includes: S30, obtaining the real-time temperature and the pressure in the multiphase flow pipeline to be evaluated, and predicting the density of the mixed fluid according to the density calculation formula, the density calculation formula is: Among them, ρ is the density of the mixed fluid, P is the pressure, R is the gas constant, T is the real-time temperature, and B is the Debye constant.

[0022] Optionally, the metal fatigue degree of the multiphase flow pipeline to be evaluated is estimated according to the density of the fluid, including: S31, using the real-time temperature and the density of the mixed fluid to calculate the stress amplitude of the multiphase flow pipeline to be evaluated under the conditions of the real-time temperature and the density of the mixed fluid through an empirical model, and using the relationship between the stress amplitude and fatigue life in the SN curve to calculate the fatigue life of the multiphase flow pipeline to be evaluated; S32. Preset a preset fatigue life, calculate the difference between the preset fatigue life and the fatigue life of the multiphase flow pipeline to be evaluated, and obtain the fatigue life margin. Then: 1) Presetting a first fatigue life preset margin and a second fatigue life preset margin, and the first fatigue life preset margin is smaller than the second fatigue life preset margin; 2) When the fatigue life margin is greater than the second fatigue life preset margin, the metal fatigue degree of the multiphase flow pipeline to be evaluated is mild fatigue; 3) When the fatigue life margin is not greater than the second fatigue life preset margin and greater than the first fatigue life preset margin, the metal fatigue degree of the multiphase flow pipeline to be evaluated is moderate fatigue; 4) When the fatigue life margin is not greater than the first fatigue life preset margin, the metal fatigue degree of the multiphase flow pipeline to be evaluated is severe fatigue.

[0023] It is understandable that the specific empirical model involves the following aspects: Material properties: The model needs to consider the mechanical properties of the pipeline material, such as elastic modulus, yield strength, elongation, etc., in order to determine the behavior of the material under different stresses.

[0024] Temperature influence: Since changes in pipeline temperature will affect the mechanical properties of the material, the model will consider the effect of temperature on the strength and toughness of the material, usually using a temperature correction factor or considering the temperature dependence of the material.

[0025] Stress Analysis: The model performs stress analysis, taking into account the stress state of the pipeline under various loads such as internal pressure, external pressure, temperature gradient, etc., and calculates the stress amplitude under real-time conditions.

[0026] Fatigue life prediction: Based on the SN curve, the real-time stress amplitude is matched with the fatigue performance curve of the pipeline material to estimate the fatigue life of the pipeline under real-time conditions.

[0027] Among them, the SN curve refers to the relationship curve between stress (Stress) and fatigue life (Number of cycles). This curve is obtained through a large amount of experimental data and represents the fatigue life of the material under different stress levels.

[0028] Optionally, in S4, evaluating the network state of the multiphase flow pipeline to be evaluated according to the blockage degree, corrosion degree and metal fatigue degree of the multiphase flow pipeline to be evaluated includes: Scoring the multiphase flow pipeline to be evaluated according to the blockage degree, corrosion degree and fatigue degree of the multiphase flow pipeline to be evaluated, and evaluating the pipeline network status of the multiphase flow pipeline to be evaluated according to the scoring results; Obtain a blockage score according to the blockage degree of the multiphase flow pipeline to be evaluated. When the blockage degree of the multiphase flow pipeline to be evaluated is light blockage, the blockage score is 1; when the blockage degree of the multiphase flow pipeline to be evaluated is moderate blockage, the blockage score is 2; when the blockage degree of the multiphase flow pipeline to be evaluated is severe blockage, the blockage score is 3; A corrosion score is obtained according to the corrosion degree of the multiphase flow pipeline to be evaluated. When the corrosion degree of the multiphase flow pipeline to be evaluated is mild corrosion, the corrosion score is 1; when the corrosion degree of the multiphase flow pipeline to be evaluated is moderate corrosion, the corrosion score is 2; when the corrosion degree of the multiphase flow pipeline to be evaluated is severe corrosion, the corrosion score is 3; A fatigue score is obtained according to the metal fatigue degree of the multiphase flow pipeline to be evaluated. When the metal fatigue degree of the multiphase flow pipeline to be evaluated is mild fatigue, the fatigue score is 1; when the metal fatigue degree of the multiphase flow pipeline to be evaluated is moderate fatigue, the fatigue score is 2; when the metal fatigue degree of the multiphase flow pipeline to be evaluated is severe fatigue, the fatigue score is 3; The scoring result is the sum of the blockage score, corrosion score and fatigue score; Presetting a first summed preset value and a second summed preset value; When the sum value is less than the first sum preset value, the evaluation result of the pipe network state of the multiphase flow pipeline to be evaluated is a normal state; When the sum value is not less than the first sum preset value and less than the second sum preset value, the evaluation result of the pipeline network state of the multiphase flow pipeline to be evaluated is a warning state; When the sum value is not less than the second sum preset value, the evaluation result of the pipeline network state of the multiphase flow pipeline to be evaluated is a fault state.

[0029] Optionally, in the above technical solution, each multiphase flow pipeline in the oil and gas pipeline network is used as a multiphase flow pipeline to be evaluated, and S1 to S4 are executed for each multiphase flow pipeline to obtain the pipeline status of each multiphase flow pipeline in each oil and gas pipeline network.

[0030] The present invention can monitor the oil and gas pipeline network in real time, and timely obtain data such as the flow rate, wall thickness and ambient temperature of the pipeline, so as to quickly evaluate the blockage degree, corrosion degree and metal fatigue degree of the pipeline, and effectively prevent pipeline failures and accidents; by evaluating the pipeline network status of the oil and gas pipeline network, potential safety hazards can be discovered and resolved in time, effectively reducing the incidence of accidents such as pipeline leakage and explosion, and improving the safety and reliability of the oil and gas pipeline network; by evaluating the status of the oil and gas pipeline network, abnormal conditions of the pipeline, such as blockage and corrosion, can be discovered in time, so that targeted repairs and replacements can be carried out, maintenance costs and downtime can be reduced, and the convenience and efficiency of pipeline maintenance can be improved; the method can predict the fluid density through the acquired ambient temperature, and estimate the metal fatigue degree of the pipeline according to the fluid density, so as to predict the service life and replacement cycle of the pipeline in advance, and avoid waste and insecurity caused by premature damage or late replacement of the pipeline; the method adopts intelligent technology for data collection, processing and analysis, and can automatically evaluate the pipeline network status of the oil and gas pipeline network, reduce the manual workload, and improve the evaluation efficiency and accuracy.

[0031] In the above embodiments, although the steps are numbered S1, S2, etc., these are only specific embodiments given by the present invention. Those skilled in the art may adjust the execution order of S1, S2, etc. according to actual conditions, which is also within the protection scope of the present invention. It can be understood that in some embodiments, some or all of the above embodiments may be included.

[0032] like Figure 2 As shown, a state assessment system for an oil and gas pipeline network according to an embodiment of the present invention includes a fluid flow detection unit 201, a pipe wall thickness detection unit 202, a temperature detection unit 203 and a data analysis unit 204; The fluid flow detection unit 201 is used to obtain the inlet flow and outlet flow of the multiphase flow pipeline to be evaluated in the oil and gas pipeline network; the pipe wall thickness detection unit 202 is used to obtain the real-time pipe wall thickness of the multiphase flow pipeline to be evaluated; The temperature detection unit 203 is used to: obtain the real-time temperature of the multiphase flow pipeline to be evaluated; The data analysis unit 204 is used to: evaluate the blockage degree of the multiphase flow pipeline to be evaluated based on the inlet flow rate and the outlet flow rate of the multiphase flow pipeline to be evaluated; evaluate the corrosion degree of the multiphase flow pipeline to be evaluated based on the real-time wall thickness of the multiphase flow pipeline to be evaluated; predict the density of the fluid in the multiphase flow pipeline to be evaluated based on the real-time temperature of the environment in which the multiphase flow pipeline to be evaluated is located, and estimate the metal fatigue degree of the multiphase flow pipeline to be evaluated based on the density of the fluid; evaluate the pipeline network status of the multiphase flow pipeline to be evaluated based on the blockage degree, corrosion degree and metal fatigue degree of the multiphase flow pipeline to be evaluated.

[0033] Preferably, the fluid flow detection unit 201, the pipe wall thickness detection unit 202 and the temperature detection unit 203 are specifically a flow sensor, an ultrasonic thickness gauge and a temperature sensor, respectively.

[0034] Flow sensors are installed at the inlet and outlet of the oil and gas pipeline network to accurately measure the flow changes in the multiphase flow pipeline. These data are an important basis for evaluating the degree of pipeline blockage.

[0035] Ultrasonic thickness gauges are used to measure the wall thickness of multiphase flow pipelines in real time. Through regular or continuous measurements, corrosion, wear or thickness changes of the pipe wall can be detected in time, thereby evaluating the degree of corrosion of the pipeline.

[0036] The temperature sensor is set in the environment of the multiphase flow pipeline to be evaluated, and can monitor the temperature of the environment in which the pipeline is located in real time. Since the density of the fluid changes with the temperature, the density of the fluid in the pipeline can be predicted by measuring the ambient temperature.

[0037] Optionally, in the above technical solution, the data parsing unit 204 includes a congestion level assessment subunit, and the congestion level assessment subunit is used to: Calculate the flow difference and flow ratio between the inlet flow and the outlet flow. The flow difference is calculated as: ΔF = F0-F1, and the flow ratio is calculated as: Fx = F0 / F1, where ΔF represents the flow difference, F0 represents the inlet flow, F1 represents the outlet flow, and Fx represents the flow ratio; Calculate the flow quotient value of the flow difference and the flow ratio. The calculation formula of the flow quotient value is: Fy = ΔF / Fx, where Fy represents the flow quotient value; A preset flow quotient value is set in advance, the flow quotient value is compared with the preset flow quotient value, and the blockage degree of the multiphase flow pipeline to be evaluated is evaluated according to the comparison result.

[0038] Optionally, in the above technical solution, the blockage degree assessment subunit is further specifically used for: When the flow quotient value is less than the preset flow quotient value, it is determined that the multiphase flow pipeline to be evaluated is not blocked, and the blockage degree of the multiphase flow pipeline to be evaluated is 0; When the flow quotient value is not less than the preset flow quotient value, it is determined that the multiphase flow pipeline to be evaluated is blocked, and the flow quotient difference between the flow quotient value and the preset flow quotient value is calculated; A first preset flow quotient difference value and a second preset flow quotient difference value are preset, and the first preset flow quotient difference value is smaller than the second preset flow quotient difference value; When the flow quotient difference is less than the first preset flow quotient difference, the blockage degree of the multiphase flow pipeline to be evaluated is evaluated as slight blockage; when the flow quotient difference is not less than the first preset flow quotient difference and less than the second preset flow quotient difference, the blockage degree of the multiphase flow pipeline to be evaluated is evaluated as moderate blockage; When the flow quotient difference is not less than the second preset flow quotient difference, it is assessed that the blockage degree of the multiphase flow pipeline to be assessed is severe blockage.

[0039] Optionally, in the above technical solution, the data parsing unit 204 further includes a corrosion degree assessment subunit, and the corrosion degree assessment subunit is used to: The preset thickness of the pipe wall is preset, and the multiphase flow pipe to be evaluated is evenly divided into n sections to obtain n multiphase flow pipe sections; The corrosion degree of each multiphase flow pipeline section is evaluated by the preset pipe wall thickness and the real-time pipe wall thickness of each multiphase flow pipeline section. The corrosion degree of the multiphase flow pipeline to be evaluated is evaluated based on the corrosion degree evaluation results of all multiphase flow pipeline sections.

[0040] Optionally, in the above technical solution, the process of the corrosion degree assessment subunit evaluating the corrosion degree of any multiphase flow pipeline section includes: Obtain the pipe wall thickness of several points in any multiphase flow pipeline section, calculate the average value of the pipe wall thickness of several points, and use the average value as the real-time pipe wall thickness of any multiphase flow pipeline section; Calculate the thickness ratio between the average value and the preset thickness of the pipe wall. The thickness ratio calculation formula is: T = t / T0; Wherein, T represents the thickness ratio, t represents the average value, and T0 represents the preset thickness of the pipe wall; When T is less than 1, the corrosion degree evaluation result of any multiphase flow pipeline section is corroded; When T is equal to 1, the corrosion degree evaluation result of any multiphase flow pipeline section is not corroded; When T is greater than 1, the corrosion degree evaluation result of any multiphase flow pipeline section is that there is deposit.

[0041] Optionally, in the above technical solution, the corrosion degree assessment subunit is further specifically used for: A first corrosion preset number and a second corrosion preset number are preset, and the first corrosion preset number is smaller than the second corrosion preset number, and the number m of multiphase flow pipeline sections where all Ts are smaller than 1 is obtained; When m is less than the first corrosion preset number and greater than 0, the corrosion degree of the multiphase flow pipeline to be evaluated is evaluated as mild corrosion; when m is greater than the first corrosion preset number and less than the second corrosion preset number, the corrosion degree of the multiphase flow pipeline to be evaluated is evaluated as moderate corrosion; When m is greater than the second preset corrosion number, the corrosion degree of the multiphase flow pipeline to be evaluated is evaluated as severe corrosion.

[0042] Optionally, in the above technical solution, the data parsing unit 204 further includes a metal fatigue degree assessment submodule, and the metal fatigue degree assessment submodule is used to: When the fluid in the multiphase flow pipeline to be evaluated is a mixed fluid of crude oil and natural gas, the real-time temperature and the pressure in the multiphase flow pipeline to be evaluated are obtained, and the density of the mixed fluid is predicted according to the density calculation formula. The density calculation formula is: Among them, ρ is the density of the mixed fluid, P is the pressure, R is the gas constant, T is the real-time temperature, and B is the Debye constant.

[0043] Optionally, in the above technical solution, the metal fatigue degree assessment submodule is further used for: The stress amplitude of the multiphase flow pipeline to be evaluated under the conditions of real-time temperature and density of the mixed fluid is calculated by an empirical model, and the fatigue life of the multiphase flow pipeline to be evaluated is calculated by using the relationship between stress amplitude and fatigue life in the SN curve; Presetting a preset fatigue life, calculating the difference between the preset fatigue life and the fatigue life of the multiphase flow pipeline to be evaluated, and obtaining a fatigue life margin; Presetting a first fatigue life preset margin and a second fatigue life preset margin, wherein the first fatigue life preset margin is smaller than the second fatigue life preset margin; When the fatigue life margin is greater than the second fatigue life preset margin, the metal fatigue degree of the multiphase flow pipeline to be evaluated is mild fatigue; When the fatigue life margin is not greater than the second fatigue life preset margin and greater than the first fatigue life preset margin, the metal fatigue degree of the multiphase flow pipeline to be evaluated is moderate fatigue; When the fatigue life margin is not greater than the first fatigue life preset margin, the metal fatigue degree of the multiphase flow pipeline to be evaluated is severe fatigue.

[0044] Optionally, in the above technical solution, the data analysis unit 204 further includes a comprehensive evaluation module, which is used to: Scoring the multiphase flow pipeline to be evaluated according to the blockage degree, corrosion degree and fatigue degree of the multiphase flow pipeline to be evaluated, and evaluating the pipeline network status of the multiphase flow pipeline to be evaluated according to the scoring results; Obtain a blockage score according to the blockage degree of the multiphase flow pipeline to be evaluated. When the blockage degree of the multiphase flow pipeline to be evaluated is light blockage, the blockage score is 1; when the blockage degree of the multiphase flow pipeline to be evaluated is moderate blockage, the blockage score is 2; when the blockage degree of the multiphase flow pipeline to be evaluated is severe blockage, the blockage score is 3; A corrosion score is obtained according to the corrosion degree of the multiphase flow pipeline to be evaluated. When the corrosion degree of the multiphase flow pipeline to be evaluated is mild corrosion, the corrosion score is 1; when the corrosion degree of the multiphase flow pipeline to be evaluated is moderate corrosion, the corrosion score is 2; when the corrosion degree of the multiphase flow pipeline to be evaluated is severe corrosion, the corrosion score is 3; A fatigue score is obtained according to the metal fatigue degree of the multiphase flow pipeline to be evaluated. When the metal fatigue degree of the multiphase flow pipeline to be evaluated is mild fatigue, the fatigue score is 1; when the metal fatigue degree of the multiphase flow pipeline to be evaluated is moderate fatigue, the fatigue score is 2; when the metal fatigue degree of the multiphase flow pipeline to be evaluated is severe fatigue, the fatigue score is 3; The scoring result is the sum of the blockage score, corrosion score and fatigue score; Presetting a first summed preset value and a second summed preset value; When the sum value is less than the first sum preset value, the evaluation result of the pipe network state of the multiphase flow pipeline to be evaluated is a normal state; When the sum value is not less than the first sum preset value and less than the second sum preset value, the evaluation result of the pipeline network state of the multiphase flow pipeline to be evaluated is a warning state; When the sum value is not less than the second sum preset value, the evaluation result of the pipeline network state of the multiphase flow pipeline to be evaluated is a fault state.

[0045] Optionally, in the above technical solution, the data analysis unit 204 is also used to: take each multiphase flow pipeline in the oil and gas pipeline network as a multiphase flow pipeline to be evaluated, perform a state evaluation on each multiphase flow pipeline, and obtain the pipeline network state of each multiphase flow pipeline in each oil and gas pipeline network.

[0046] It should be noted that the beneficial effects of the oil and gas pipeline network status assessment system 200 provided in the above embodiment are the same as the beneficial effects of the oil and gas pipeline network status assessment method described above, which will not be described in detail here. In addition, when the system provided in the above embodiment realizes its functions, it only uses the division of the above functional modules as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the system can be divided into different functional modules according to actual conditions to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be described in detail here.

[0047] like Figure 3 As shown, a computer device 300 according to an embodiment of the present invention includes a processor 320, the processor 320 is coupled to a memory 310, and the memory 310 stores at least one computer program 330, and the at least one computer program 330 is loaded and executed by the processor 320, so that the computer device 300 implements any of the above-mentioned oil and gas pipeline network status assessment methods, specifically: The computer device 300 may have relatively large differences due to different configurations or performances, and may include one or more processors 320 (Central Processing Units, CPU) and one or more memories 310, wherein the one or more memories 310 store at least one computer program 330, and the at least one computer program 330 is loaded and executed by the one or more processors 320, so that the computer device 300 implements any of the oil and gas pipeline network status assessment methods provided in the above embodiments. Of course, the computer device 300 may also have components such as a wired or wireless network interface, a keyboard, and an input and output interface for input and output, and the computer device 300 may also include other components for implementing device functions, which will not be described in detail here.

[0048] A computer-readable storage medium according to an embodiment of the present invention stores at least one computer program, and the at least one computer program is loaded and executed by a processor so that a computer implements any of the above-mentioned oil and gas pipeline network status assessment methods.

[0049] Optionally, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0050] In an exemplary embodiment, a computer program product or a computer program is also provided, the computer program product or the computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes any of the above-mentioned oil and gas pipeline network status assessment methods.

[0051] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects and represent the definition of a specific order or sequence. The order of use of similar objects can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than the order shown or described.

[0052] Those skilled in the art know that the present invention can be implemented as a system, method or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), or it can be a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" herein. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code.

[0053] Any combination of one or more computer-readable media can be used. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0054] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for evaluating the status of an oil and gas pipeline network, characterized in that: include: Obtaining and evaluating the blockage degree of the multiphase flow pipeline to be evaluated based on the inlet flow rate and the outlet flow rate of the multiphase flow pipeline to be evaluated in the oil and gas pipeline network; Obtaining and evaluating the corrosion degree of the multiphase flow pipeline to be evaluated based on the real-time wall thickness of the multiphase flow pipeline to be evaluated; obtaining and predicting the density of the fluid in the multiphase flow pipeline to be evaluated based on the real-time temperature of the environment in which the multiphase flow pipeline to be evaluated is located, and estimating the metal fatigue degree of the multiphase flow pipeline to be evaluated based on the density of the fluid; The network state of the multiphase flow pipeline to be evaluated is evaluated according to the blockage degree, corrosion degree and metal fatigue degree of the multiphase flow pipeline to be evaluated.

2. The method for evaluating the status of an oil and gas pipeline network according to claim 1, characterized in that: According to the inlet flow rate and outlet flow rate of the multiphase flow pipeline to be evaluated in the oil and gas pipeline network, the blockage degree of the multiphase flow pipeline to be evaluated is evaluated, including: calculating the flow difference and flow ratio between the inlet flow rate and the outlet flow rate, the flow difference is calculated as: ΔF=F0-F1, the flow ratio is calculated as: Fx=F0 / F1, wherein ΔF represents the flow difference, F0 represents the inlet flow rate, F1 represents the outlet flow rate, and Fx represents the flow ratio; Calculating a flow quotient value of the flow difference and the flow ratio, the flow quotient value is calculated by the following formula: Fy=ΔF / Fx, where Fy represents the flow quotient value; A preset flow quotient value is preset, the flow quotient value is compared with the preset flow quotient value, and the blockage degree of the multiphase flow pipeline to be evaluated is evaluated according to the comparison result.

3. The method for evaluating the status of an oil and gas pipeline network according to claim 2, characterized in that: Comparing the flow quotient value with the preset flow quotient value, and evaluating the blockage degree of the multiphase flow pipeline to be evaluated according to the comparison result, includes: When the flow quotient value is less than the preset flow quotient value, it is determined that the multiphase flow pipeline to be evaluated is not blocked, and the blockage degree of the multiphase flow pipeline to be evaluated is 0; When the flow quotient value is not less than the preset flow quotient value, determining that the multiphase flow pipeline to be evaluated is blocked, and calculating the flow quotient difference between the flow quotient value and the preset flow quotient value; Presetting a first preset flow quotient difference value and a second preset flow quotient difference value, wherein the first preset flow quotient difference value is smaller than the second preset flow quotient difference value; When the flow quotient difference is less than the first preset flow quotient difference, the blockage degree of the multiphase flow pipeline to be evaluated is evaluated as slight blockage; When the flow quotient difference is not less than the first preset flow quotient difference and less than the second preset flow quotient difference, the blockage degree of the multiphase flow pipeline to be evaluated is evaluated as moderate blockage; When the flow quotient difference is not less than the second preset flow quotient difference, it is evaluated that the blockage degree of the multiphase flow pipeline to be evaluated is severe blockage.

4. The method for evaluating the state of an oil and gas pipeline network according to claim 3, characterized in that: According to the real-time wall thickness of the multiphase flow pipeline to be evaluated, evaluating the corrosion degree of the multiphase flow pipeline to be evaluated includes: A preset wall thickness is set in advance, and the multiphase flow pipeline to be evaluated is evenly divided into n sections to obtain n multiphase flow pipeline sections; the corrosion degree of each multiphase flow pipeline section is evaluated by the preset wall thickness and the real-time wall thickness of each multiphase flow pipeline section respectively; and the corrosion degree of the multiphase flow pipeline to be evaluated is evaluated according to the corrosion degree evaluation results of all the multiphase flow pipeline sections.

5. The method for evaluating the status of an oil and gas pipeline network according to claim 4, characterized in that: Evaluate the corrosion severity of any multiphase flow pipeline section, including: Obtaining the pipe wall thickness of several points in any multiphase flow pipeline section, calculating the average value of the pipe wall thickness of the several points, and using the average value as the real-time pipe wall thickness of any multiphase flow pipeline section; Calculating the thickness ratio of the average value and the preset thickness of the tube wall, the calculation formula of the thickness ratio is: T=t / T0; Wherein, T represents the thickness ratio, t represents the average value, and T0 represents the preset thickness of the tube wall; When T is less than 1, the corrosion degree evaluation result of any multiphase flow pipeline section is that it has been corroded; When T is equal to 1, the corrosion degree evaluation result of any multiphase flow pipeline section is not corroded; When T is greater than 1, the corrosion degree evaluation result of any multiphase flow pipeline section is that there is deposit.

6. The method for evaluating the status of an oil and gas pipeline network according to claim 5, characterized in that: According to the corrosion degree evaluation results of all the multiphase flow pipeline sections, the corrosion degree of the multiphase flow pipeline to be evaluated is evaluated, including: A first corrosion preset number and a second corrosion preset number are preset, and the first corrosion preset number is smaller than the second corrosion preset number, and the number m of multiphase flow pipeline sections where all Ts are smaller than 1 is obtained; When m is less than the first corrosion preset number and greater than 0, the corrosion degree of the multiphase flow pipeline to be evaluated is evaluated as slight corrosion; When m is greater than the first corrosion preset number and less than the second corrosion preset number, the corrosion degree of the multiphase flow pipeline to be evaluated is evaluated as moderate corrosion; When m is greater than the second corrosion preset number, the corrosion degree of the multiphase flow pipeline to be evaluated is evaluated as severe corrosion.

7. The method for evaluating the status of an oil and gas pipeline network according to claim 6, characterized in that: The fluid in the multiphase flow pipeline to be evaluated is a mixed fluid of crude oil and natural gas, and the density of the fluid in the multiphase flow pipeline to be evaluated is obtained and predicted according to the real-time temperature of the environment in which the multiphase flow pipeline to be evaluated is located, including: The real-time temperature and the pressure in the multiphase flow pipeline to be evaluated are obtained, and the density of the mixed fluid is predicted according to a density calculation formula, where the density calculation formula is: Wherein, ρ is the density of the mixed fluid, P represents the pressure, R represents the gas constant, T represents the real-time temperature, and B represents the Debye constant.

8. The method for evaluating the status of an oil and gas pipeline network according to claim 7, characterized in that: Estimating the metal fatigue degree of the multiphase flow pipeline to be evaluated according to the density of the fluid includes: The stress amplitude of the multiphase flow pipeline to be evaluated under the conditions of the real-time temperature and the density of the mixed fluid is calculated by an empirical model, and the fatigue life of the multiphase flow pipeline to be evaluated is calculated by using the relationship between the stress amplitude and the fatigue life in the SN curve; Presetting a preset fatigue life, calculating the difference between the preset fatigue life and the fatigue life of the multiphase flow pipeline to be evaluated, and obtaining a fatigue life margin; Presetting a first fatigue life preset margin and a second fatigue life preset margin, wherein the first fatigue life preset margin is smaller than the second fatigue life preset margin; When the fatigue life margin is greater than the second fatigue life preset margin, the metal fatigue degree of the multiphase flow pipeline to be evaluated is mild fatigue; When the fatigue life margin is not greater than the second fatigue life preset margin and greater than the first fatigue life preset margin, the metal fatigue degree of the multiphase flow pipeline to be evaluated is moderate fatigue; When the fatigue life margin is not greater than the first fatigue life preset margin, the metal fatigue degree of the multiphase flow pipeline to be evaluated is severe fatigue.

9. The method for evaluating the state of an oil and gas pipeline network according to claim 8, characterized in that: Evaluating the network state of the multiphase flow pipeline to be evaluated according to the blockage degree, corrosion degree and metal fatigue degree of the multiphase flow pipeline to be evaluated, including: Scoring the multiphase flow pipeline to be evaluated according to the blockage degree, corrosion degree and fatigue degree of the multiphase flow pipeline to be evaluated, and evaluating the pipeline network state of the multiphase flow pipeline to be evaluated according to the scoring result; A blockage score is obtained according to the blockage degree of the multiphase flow pipeline to be evaluated. When the blockage degree of the multiphase flow pipeline to be evaluated is light blockage, the blockage score is 1; when the blockage degree of the multiphase flow pipeline to be evaluated is moderate blockage, the blockage score is 2; when the blockage degree of the multiphase flow pipeline to be evaluated is severe blockage, the blockage score is 3; a corrosion score is obtained according to the corrosion degree of the multiphase flow pipeline to be evaluated. When the corrosion degree of the multiphase flow pipeline to be evaluated is light corrosion, the corrosion score is 1; when the corrosion degree of the multiphase flow pipeline to be evaluated is moderate corrosion, the corrosion score is 2; When the corrosion degree of the multiphase flow pipeline to be evaluated is severe corrosion, the corrosion score is 2; when the corrosion degree of the multiphase flow pipeline to be evaluated is severe corrosion, the corrosion score is 3; the fatigue score is obtained according to the metal fatigue degree of the multiphase flow pipeline to be evaluated, when the metal fatigue degree of the multiphase flow pipeline to be evaluated is mild fatigue, the fatigue score is 1, when the metal fatigue degree of the multiphase flow pipeline to be evaluated is moderate fatigue, the fatigue score is 2, and when the metal fatigue degree of the multiphase flow pipeline to be evaluated is severe fatigue, the fatigue score is 3; the scoring result is the sum of the blockage score, the corrosion score and the fatigue score; Presetting a first summed preset value and a second summed preset value; When the sum value is less than the first sum preset value, the evaluation result of the pipeline network state of the multiphase flow pipeline to be evaluated is a normal state; When the sum value is not less than the first sum preset value and less than the second sum preset value, the evaluation result of the pipeline network state of the multiphase flow pipeline to be evaluated is a warning state; When the sum value is not less than the second sum preset value, the evaluation result of the pipeline network state of the multiphase flow pipeline to be evaluated is a fault state.

10. A state assessment system for an oil and gas pipeline network, characterized in that: It includes a fluid flow detection unit, a pipe wall thickness detection unit, a temperature detection unit and a data analysis unit; The fluid flow detection unit is used to obtain the inlet flow and outlet flow of the multiphase flow pipeline to be evaluated in the oil and gas pipeline network; the pipe wall thickness detection unit is used to obtain the real-time pipe wall thickness of the multiphase flow pipeline to be evaluated; The temperature detection unit is used to: obtain the real-time temperature of the multiphase flow pipeline to be evaluated; The data analysis unit is used to: evaluate the blockage degree of the multiphase flow pipeline to be evaluated according to the inlet flow rate and the outlet flow rate of the multiphase flow pipeline to be evaluated; evaluate the corrosion degree of the multiphase flow pipeline to be evaluated according to the real-time wall thickness of the multiphase flow pipeline to be evaluated; predict the density of the fluid in the multiphase flow pipeline to be evaluated according to the real-time temperature of the environment in which the multiphase flow pipeline to be evaluated is located, and estimate the metal fatigue degree of the multiphase flow pipeline to be evaluated according to the density of the fluid; evaluate the pipeline network status of the multiphase flow pipeline to be evaluated according to the blockage degree, corrosion degree and metal fatigue degree of the multiphase flow pipeline to be evaluated.

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