CN113063725B - Method for quickly identifying corrosion main control factors in pipeline - Google Patents
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Abstract
The invention relates to a method for rapidly identifying main control factors of corrosion in a pipeline, which collects working condition data of a corrosion perforated pipeline on site, an ICDA (integrated circuit data acquisition) analysis result of the pipeline and internal detection data and collects a platform gas sample and a water sample; analyzing the correlation degree of the flow parameters, medium parameters, pipeline working conditions and the like with corrosion, and determining the content of components in the medium in the pipeline; determining the influence of different factors on the corrosion in the pipeline through multiphase flow transient simulation, 6-factor 3 horizontal orthogonal experiment and SRB microbial corrosion cathodic polarization experiment; and performing item statistics based on experimental results and pipeline data, establishing a relevance analysis model of each factor, combining a relevance rule mining algorithm, establishing relevance rules of corrosion rate and different flow parameters by adopting an Apriori algorithm, performing relevance analysis on corrosion influence factors, selecting a reliability threshold value, and finally determining main control factors of corrosion in the pipeline.
Description
Technical Field
The invention relates to a method for quickly identifying corrosion main control factors in a pipeline, and relates to the field of wet natural gas pipeline transportation.
Background
Natural gas transportation pipelines are important facilities for transporting natural gas, but during transportation, CO is present in natural gas2、Cl-、Ca2+、Mg2+、H2S、H2O and other impurities, and hydrates, accumulated liquid, different flow rates and the like in the conveying process can cause the corrosion inside the conveying pipeline, so that the phenomena of local corrosion and perforation are easy to occur inside the pipeline.
Natural gas pipeline in CO2、Cl-、Ca2+、Mg2+Local corrosion is serious under the coupling action of multiple factors such as microorganisms and accumulated liquid, and a corrosion perforation phenomenon often occurs, but the mechanism and main control factors of a short-time and rapid perforation corrosion process under the synergistic action of the multiple factors are still unknown.
According to the current technical situation at home and abroad, a mature research method is provided in the aspect of influence on corrosion by single factors of gathering and transportation pipelines, but a perfect theoretical system is not formed in corrosion under the condition of multi-factor cooperative variable working conditions of gas, water, microorganisms and the like, research work is less developed, and a method for quickly identifying main control factors of pipeline corrosion is not formed.
Disclosure of Invention
In order to solve the problems that in the prior art, the mechanism of a short-time and rapid perforation corrosion process of a natural gas pipeline under the multi-factor synergistic effect and a main control factor are unknown, the invention provides a method for rapidly identifying the corrosion main control factor in the pipeline.
The technical scheme of the invention is as follows:
a method for rapidly identifying corrosion main control factors in a pipeline comprises the following steps:
s1: collecting working condition data of the on-site corrosion perforated pipeline, an ICDA analysis result and internal detection data of the pipeline, and collecting a platform gas sample and a water sample according to an ICDA and internal detection result of the internal corrosion of the pipeline;
s2: analyzing the components and the content of a medium in the pipeline, and taking the analyzed components and the content as one of references for determining corrosion main control factors through multiphase flow transient simulation;
s3: preparing a simulation solution, performing a high-temperature high-pressure corrosion orthogonal experiment and an SRB microbial corrosion cathodic polarization experiment, and determining the influence of different factors on the corrosion in the pipeline;
s4: performing item statistics according to pipeline data, establishing association rules of corrosion rates and different flow parameters by using an Apriori algorithm in combination with an association rule mining algorithm, analyzing association degrees of corrosion influence factors, selecting a reliability threshold value, and determining main control factors of pipeline corrosion;
preferably, the corrosion orthogonal test and the SRB microbial corrosion cathodic polarization test in step S3 are performed by the following steps:
s31: preparing a simulation solution according to the test sample, the multiphase flow simulation calculation and the on-site working condition, and selecting proper steel as the pipeline material;
s32: performing an experiment by adopting a multiphase flow experiment loop, representing a corrosion product, and comparing the corrosion product with an analysis result of a leakage failure pipe sample;
s33: scanning and measuring the local corrosion pit depth of the corrosion sample by adopting a 3D microscope, and calculating the local corrosion rate;
s34: determining a corrosion mechanism under the multi-factor synergistic action, and determining a pipeline corrosion dynamics action process according to a corrosion morphology dynamic expansion analysis result by combining internal detection defect data and an ICDA (intensive Care data acquisition) detection result;
s35: analyzing the influence on the SRB microbial corrosion by adopting a double-electrolytic-cell electrochemical experimental method;
preferably, in step S32, the multiphase flow experimental loop consists of: the device comprises a liquid storage tank (1), a flowmeter (2), a pump (3), a three-way valve (4), a check valve (5), a PC transparent pipe (6), a first horizontal measurement pipe section (7), a first elbow measurement pipe section (8), a second horizontal measurement pipe section (9), a second elbow measurement pipe section (10), a first inclined measurement pipe section (11), a third elbow measurement pipe section (12), a fourth elbow measurement pipe section (13), a second inclined measurement pipe section (14), a fifth elbow measurement pipe section (15), a first reducer pipe (16), a third horizontal measurement pipe section (17), a second reducer pipe (18), a fourth horizontal measurement pipe section (19) and a third reducer pipe (20);
the method is characterized in that: the experimental loop can measure the multiphase flow flowing conditions under 3 different conditions; in the first case: multiphase flow flows out of the liquid storage tank (1), flows to the pump (3) through the PC transparent pipe (6), flows through the three-way valve (4), the check valve, the elbow, the horizontal test pipe section I (7), the elbow measurement pipe section I (8), the check valve, the three-way valve and the flowmeter (2) after being pressurized by the pump (3), and returns to the liquid storage tank (1), so that the flow conditions of the multiphase flow at the horizontal pipe section and the elbow can be measured; in the second case: multiphase flow flows out of the liquid storage tank (1), flows to the pump (3) through the PC transparent pipe (6), flows through the three-way valve (4), the check valve, the elbow, the second horizontal measurement pipe section (9), the three-way valve, the check valve, the horizontal pipe section, the second elbow measurement pipe section (10), the first inclined measurement pipe section (11), the third elbow measurement pipe section (12), the horizontal pipe section, the fourth elbow measurement pipe section (13), the second inclined measurement pipe section (14), the fifth elbow measurement pipe section (15), the horizontal pipe section, the check valve, the three-way valve and the flowmeter (2) after being pressurized by the pump (3), returns to the liquid storage tank (1), and can measure the flow conditions of the multiphase flow in the horizontal pipe section, the upslope elbow, the upslope inclined pipe section, the downslope elbow and the downslope inclined pipe section; in the third case: multiphase flow flows out of the liquid storage tank (1), flows to the pump (3) through the PC transparent pipe (6), flows through the three-way valve (4), the check valve, the elbow, the second horizontal measurement pipe section (9), the three-way valve, the check valve, the elbow, the first reducer pipe (16), the third horizontal measurement pipe section (17), the second reducer pipe (18), the fourth horizontal measurement pipe section (19), the third reducer pipe (20), the elbow, the check valve, the three-way valve and the flowmeter (2) after being pressurized by the pump (3), and returns to the liquid storage tank (1), so that the flow condition of the multiphase flow in the pipe sections with different diameters can be measured.
Preferably, in step S25, the two-cell electrochemical experiment is composed of: a constant potential/current meter (21), an electrochemical workstation (22), a computer (23), an electric wire (24), a cathode pool (25), an anode pool (26), platinum electrodes (27) (28), a calomel electrode (29) and a connecting channel (30);
the method is characterized in that: the cathode pool (25) is equivalent to soil outside the pipeline, the anode pool (26) is equivalent to the inside of the pipeline, the connecting channel (30) is equivalent to the pipe wall, and the constant potential/current meter (21), the platinum electrode (27), the cathode pool (25), the connecting channel (30) and the electric wire form a cathode protection device and are connected with the electrochemical workstation (22) through the electric wire; the electrochemical workstation (22), the platinum electrode (28), the anode pool (26) and the calomel electrode (29) form a corrosion device in the pipeline; the electrochemical workstation (22) transmits the reaction signal to a computer (23) through a wire (24) for processing.
Preferably, in step S4, the correlation analysis model for each factor is calculated by:
s41: performing data cleaning, numbering and characteristic parameter selection by adopting SPARK software;
s42: extent of corrosion and CO established using Apriori algorithm2A correlation analysis model of factors such as partial pressure, temperature, pressure, flow rate and liquid holdup;
s5: preferably, in step S42, the Apriori algorithm is calculated by:
the Apriori algorithm is calculated by inputting a data set D and a support degree threshold value alpha and outputting a maximum frequent k item set through an iterative method; the maximum frequent k item set is a main control factor of corrosion, and the specific iteration method is as follows:
s51: scanning the whole data set by setting k to 1 to obtain all appeared data as a candidate frequent k item set;
s52: scanning the support degree of the candidate frequent k item set, removing the data set with the support degree of the candidate frequent k item lower than a threshold value alpha, and generating a candidate frequent k +1 item set. If the obtained frequent k +1 item set only has one item, the set of the frequent k +1 item set is combined as an algorithm result, and the algorithm is ended;
s53: let k be k +1, the process proceeds to step S52.
In conclusion, the invention is applicable to CO2、Cl-、Ca2+、Mg2+And the corrosion main control factors under the condition of local corrosion or perforation of the pipeline under the coupling action of multiple factors such as microorganisms and accumulated liquid are quickly identified.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings used in the technical description will be briefly introduced below.
FIG. 1 is a schematic view of a multiphase flow experimental circuit of the present invention;
FIG. 2 is a schematic diagram of a dual-cell electrochemical experiment according to the present invention.
In the figure, a liquid storage tank (1), a flowmeter (2), a pump (3), a three-way valve (4), a check valve (5), a PC transparent pipe (6), a first horizontal measurement pipe section (7), a first elbow measurement pipe section (8), a second horizontal measurement pipe section (9), a second elbow measurement pipe section (10), a first inclined measurement pipe section (11), a third elbow measurement pipe section (12), a fourth elbow measurement pipe section (13), a second inclined measurement pipe section (14), a fifth elbow measurement pipe section (15), a first reducer pipe (16), a third horizontal measurement pipe section (17), a second reducer pipe (18), a fourth horizontal measurement pipe section (19), a third reducer pipe (20), a constant potential/current meter (21), an electrochemical workstation (22), a computer (23), an electric wire (24), a cathode pool (25), an anode pool (26), platinum electrodes (27) (28), a calomel electrode (29) and a connecting channel (30) are adopted.
Detailed description of the invention
The invention will be further explained with reference to the drawings. It should be noted that, in the present application, the embodiments and the technical features in the embodiments may be combined with each other without conflict. Unless defined otherwise, technical or scientific terms used in the present disclosure should have the ordinary meaning as understood by those of ordinary skill in the art to which the present disclosure pertains.
A method for rapidly identifying corrosion main control factors in a pipeline comprises the following steps:
s1: collecting working condition data of the on-site corrosion perforated pipeline, an ICDA analysis result and internal detection data of the pipeline, and collecting a platform gas sample and a water sample according to an ICDA and internal detection result of the internal corrosion of the pipeline;
in one embodiment, the collection platform comprises 15 groups of gas samples and 15 groups of water samples (3 water samples in each group)
S2; analyzing the components and the content of a medium in the pipeline, and taking the analyzed components and the content as one of references for determining corrosion main control factors through multiphase flow transient simulation;
in one embodiment, the gas sample components are analyzed and collected by a gas chromatograph-mass spectrometer to judge CO in different periods2Content (c); analysis of pH, Cl of the solution-、Ca2+、Mg2+And mineralization conditions; and (4) counting the contents of the microorganisms (SRB, TGB and IB) in the water sample by using an absolute dilution method.
S3: preparing a simulation solution, performing a high-temperature high-pressure corrosion orthogonal experiment and an SRB microbial corrosion cathodic polarization experiment, and determining the influence of different factors on the corrosion in the pipeline;
the corrosion orthogonal experiment and the SRB microbial corrosion cathodic polarization experiment are carried out by the following steps:
s31: preparing a simulation solution according to the test sample, the multiphase flow simulation calculation and the on-site working condition, selecting proper steel as the pipeline material, and performing an orthogonal experiment;
in one example, the steel L245NB/L360NB was selected, the orthogonal experimental parameters are shown in Table 1, and the experimental protocol is shown in Table 2;
table 1 6-factor 3 horizontal parameter entries for orthogonal experiments
TABLE 26 factor 3 horizontal orthogonal Experimental protocol
S32: performing an experiment by adopting a multiphase flow experiment loop, representing a corrosion product, and comparing the corrosion product with an analysis result of a leakage failure pipe sample;
in one example, the multiphase flow experiment loop consists of a liquid storage tank (1), a flowmeter (2), a pump (3), a three-way valve (4), a check valve (5), a PC transparent pipe (6), a first horizontal measurement pipe section (7), a first elbow measurement pipe section (8), a second horizontal measurement pipe section (9), a second elbow measurement pipe section (10), a first inclined measurement pipe section (11), a third elbow measurement pipe section (12), a fourth elbow measurement pipe section (13), a second inclined measurement pipe section (14), a fifth elbow measurement pipe section (15), a first reducer pipe (16), a third horizontal measurement pipe section (17), a second reducer pipe (18), a fourth horizontal measurement pipe section (19), a third reducer pipe (20) and a connecting pipe;
the experimental loop can measure the multiphase flow flowing conditions under 3 different conditions; in the first case: multiphase flow flows out of the liquid storage tank (1), flows to the pump (3) through the PC transparent pipe (6), flows through the three-way valve (4), the check valve, the elbow, the horizontal test pipe section I (7), the elbow measurement pipe section I (8), the check valve, the three-way valve and the flowmeter (2) after being pressurized by the pump (3), and returns to the liquid storage tank (1), so that the flow conditions of the multiphase flow at the horizontal pipe section and the elbow can be measured; in the second case: multiphase flow flows out of the liquid storage tank (1), flows to the pump (3) through the PC transparent pipe (6), flows through the three-way valve (4), the check valve, the elbow, the second horizontal measurement pipe section (9), the three-way valve, the check valve, the horizontal pipe section, the second elbow measurement pipe section (10), the first inclined measurement pipe section (11), the third elbow measurement pipe section (12), the horizontal pipe section, the fourth elbow measurement pipe section (13), the second inclined measurement pipe section (14), the fifth elbow measurement pipe section (15), the horizontal pipe section, the check valve, the three-way valve and the flowmeter (2) after being pressurized by the pump (3), returns to the liquid storage tank (1), and can measure the flow conditions of the multiphase flow in the horizontal pipe section, the upslope elbow, the upslope inclined pipe section, the downslope elbow and the downslope inclined pipe section; in the third case: multiphase flow flows out of the liquid storage tank (1), flows to the pump (3) through the PC transparent pipe (6), flows through the three-way valve (4), the check valve, the elbow, the second horizontal measurement pipe section (9), the three-way valve, the check valve, the elbow, the first reducer pipe (16), the third horizontal measurement pipe section (17), the second reducer pipe (18), the fourth horizontal measurement pipe section (19), the third reducer pipe (20), the elbow, the check valve, the three-way valve and the flowmeter (2) after being pressurized by the pump (3), and returns to the liquid storage tank (1), so that the flow condition of the multiphase flow in the pipe sections with different diameters can be measured.
S33: scanning and measuring the local corrosion pit depth of the corrosion sample by adopting a 3D microscope, and calculating the local corrosion rate;
s34: determining a corrosion mechanism under the multi-factor synergistic action, and determining a pipeline corrosion dynamics action process according to a corrosion morphology dynamic expansion analysis result by combining internal detection defect data and an ICDA (intensive Care data acquisition) detection result;
s35: analyzing the influence on the SRB microbial corrosion by adopting a double-electrolytic-cell electrochemical experimental method; in one example, the double-electrolytic-cell electrochemical experiment is composed of a constant potential/current meter (21), an electrochemical workstation (22), a computer (23), a wire (24), a cathode cell (25), an anode cell (26), platinum electrodes (27) (28), a calomel electrode (29), a connecting channel (30) and a connecting wire;
the cathode pool (25) is equivalent to soil outside the pipeline, the anode pool (26) is equivalent to the inside of the pipeline, the connecting channel (30) is equivalent to the pipe wall, and the constant potential/current meter (21), the platinum electrode (27), the cathode pool (25), the connecting channel (30) and the electric wire form a cathode protection device and are connected with the electrochemical workstation (22) through the electric wire; the electrochemical workstation (22), the platinum electrode (28), the anode pool (26) and the calomel electrode (29) form a corrosion device in the pipeline; the electrochemical workstation (22) transmits the reaction signal to a computer (23) through a wire (24) for processing.
S4: performing item statistics according to pipeline data, combining an association rule mining algorithm, establishing association rules of corrosion rates and different flow parameters by adopting an Apriori algorithm, analyzing association degrees of corrosion influence factors, selecting a reliability threshold value, and determining main control factors of pipeline corrosion.
The relevance analysis model of each factor is calculated by the following steps:
s41: performing data cleaning, numbering and characteristic parameter selection by adopting SPARK software;
s42: and (3) establishing a correlation analysis model of the corrosion degree and factors such as CO2 partial pressure, temperature, pressure, flow rate and liquid holdup by using an Apriori algorithm.
The Apriori algorithm is calculated by the following steps:
s5: the Apriori algorithm is calculated by inputting a data set D and a support threshold α and outputting the largest frequent k term set by an iterative method. With the most frequent set of k terms being the dominant factor in corrosion. The specific iteration method is as follows:
s51: let k be 1, scan the whole data set, get all data that appear as the candidate frequent k item set.
S52: scanning the support degree of the candidate frequent k item set, removing the data set with the support degree of the candidate frequent k item lower than a threshold value alpha, and generating a candidate frequent k +1 item set. And if the obtained frequent k +1 item set only has one item, the set of the frequent k +1 item set is combined as an algorithm result, and the algorithm is ended.
S53: let k be k +1, the process proceeds to step S52.
The above description is only for the purpose of describing the present invention, and is not intended to limit the present invention. However, any modification, equivalent replacement, and improvement made according to the technical spirit of the present invention without departing from the content of the technical solution of the present invention are included in the protection scope of the present invention.
Claims (3)
1. A method for rapidly identifying corrosion main control factors in a pipeline is characterized by comprising the following steps:
s1: collecting working condition data of the on-site corrosion perforated pipeline, an ICDA analysis result and internal detection data of the pipeline, and collecting a platform gas sample and a water sample according to an ICDA and internal detection result of the internal corrosion of the pipeline;
s2; analyzing the components and the content of a medium in the pipeline, and taking the analyzed components and the content as one of references for determining corrosion main control factors through multiphase flow transient simulation;
s3: preparing a simulation solution, performing a high-temperature high-pressure corrosion orthogonal experiment and an SRB microbial corrosion cathodic polarization experiment, and determining the influence of different factors on the corrosion in the pipeline;
wherein the corrosion orthogonal experiment and the SRB microbial corrosion cathodic polarization experiment in the step S3 are carried out by the following steps:
s31: preparing a simulation solution according to the test sample, the multiphase flow simulation calculation and the on-site working condition, and selecting proper steel as the pipeline material;
s32: performing an experiment by adopting a multiphase flow experiment loop, representing a corrosion product, and comparing the corrosion product with an analysis result of a leakage failure pipe sample;
s33: scanning and measuring the local corrosion pit depth of the corrosion sample by adopting a 3D microscope, and calculating the local corrosion rate;
s34: determining a corrosion mechanism under the multi-factor synergistic action, and determining a pipeline corrosion dynamics action process according to a corrosion morphology dynamic expansion analysis result by combining internal detection defect data and an ICDA (intensive Care data acquisition) detection result;
s35: analyzing the influence on the SRB microbial corrosion by adopting a double-electrolytic-cell electrochemical experimental method;
s4: performing item statistics according to pipeline data, establishing association rules of corrosion rates and different flow parameters by using an Apriori algorithm in combination with an association rule mining algorithm, analyzing association degrees of corrosion influence factors, selecting a reliability threshold value, and determining main control factors of pipeline corrosion;
wherein the relevance analysis model of each factor in step S4 is calculated by:
s41: performing data cleaning, numbering and characteristic parameter selection by adopting SPARK software;
s42: extent of corrosion and CO established using Apriori algorithm2A correlation analysis model of factors such as partial pressure, temperature, pressure, flow rate and liquid holdup;
s5: in the step S42, the Apriori algorithm is calculated by inputting the data set D and the support threshold α and outputting the largest frequent k term set by an iterative method; the maximum frequent k item set is a main control factor of corrosion, and the specific iteration method is as follows:
s51: scanning the whole data set by setting k to 1 to obtain all appeared data as a candidate frequent k item set;
s52: scanning the support degree of the candidate frequent k item set, removing the data set with the support degree of the candidate frequent k item lower than a threshold value alpha, and generating a candidate frequent k +1 item set; if the obtained frequent k +1 item set only has one item, the set of the frequent k +1 item set is combined as an algorithm result, and the algorithm is ended;
s53: let k be k +1, the process proceeds to step S52.
2. The method for identifying the corrosion main control factor in the pipeline according to claim 1, wherein the multiphase flow experiment loop comprises a liquid storage tank (1), a flowmeter (2), a pump (3), a three-way valve (4), a check valve (5), a PC transparent pipe (6), a first horizontal measurement pipe section (7), a first elbow measurement pipe section (8), a second horizontal measurement pipe section (9), a second elbow measurement pipe section (10), a first inclined measurement pipe section (11), a third elbow measurement pipe section (12), a fourth elbow measurement pipe section (13), a second inclined measurement pipe section (14), a fifth elbow measurement pipe section (15), a first reducer pipe (16), a third horizontal measurement pipe section (17), a second reducer pipe (18), a fourth horizontal measurement pipe section (19) and a third reducer pipe (20);
the method is characterized in that: the experimental loop can measure the multiphase flow flowing conditions under 3 different conditions; in the first case: multiphase flow flows out of the liquid storage tank (1), flows to the pump (3) through the PC transparent pipe (6), flows through the three-way valve (4), the check valve, the elbow, the horizontal test pipe section I (7), the elbow measurement pipe section I (8), the check valve, the three-way valve and the flowmeter (2) after being pressurized by the pump (3), and returns to the liquid storage tank (1), so that the flow conditions of the multiphase flow at the horizontal pipe section and the elbow can be measured; in the second case: multiphase flow flows out of the liquid storage tank (1), flows to the pump (3) through the PC transparent pipe (6), flows through the three-way valve (4), the check valve, the elbow, the second horizontal measurement pipe section (9), the three-way valve, the check valve, the horizontal pipe section, the second elbow measurement pipe section (10), the first inclined measurement pipe section (11), the third elbow measurement pipe section (12), the horizontal pipe section, the fourth elbow measurement pipe section (13), the second inclined measurement pipe section (14), the fifth elbow measurement pipe section (15), the horizontal pipe section, the check valve, the three-way valve and the flowmeter (2) after being pressurized by the pump (3), returns to the liquid storage tank (1), and can measure the flow conditions of the multiphase flow in the horizontal pipe section, the upslope elbow, the upslope inclined pipe section, the downslope elbow and the downslope inclined pipe section; in the third case: multiphase flow flows out of the liquid storage tank (1), flows to the pump (3) through the PC transparent pipe (6), flows through the three-way valve (4), the check valve, the elbow, the second horizontal measurement pipe section (9), the three-way valve, the check valve, the elbow, the first reducer pipe (16), the third horizontal measurement pipe section (17), the second reducer pipe (18), the fourth horizontal measurement pipe section (19), the third reducer pipe (20), the elbow, the check valve, the three-way valve and the flowmeter (2) after being pressurized by the pump (3), and returns to the liquid storage tank (1), so that the flow condition of the multiphase flow in the pipe sections with different diameters can be measured.
3. The method for identifying the corrosion main control factor in the pipeline as claimed in claim 1, wherein the double-electrolytic-cell electrochemical experiment comprises a constant potential/current meter (21), an electrochemical workstation (22), a computer (23), a wire (24), a cathode cell (25), an anode cell (26), platinum electrodes (27) (28), a calomel electrode (29) and a connecting channel (30), and is characterized in that: the cathode pool (25) is equivalent to soil outside the pipeline, the anode pool (26) is equivalent to the inside of the pipeline, the connecting channel (30) is equivalent to the pipe wall, and the constant potential/current meter (21), the platinum electrode (27), the cathode pool (25), the connecting channel (30) and the electric wire form a cathode protection device and are connected with the electrochemical workstation (22) through the electric wire; the electrochemical workstation (22), the platinum electrode (28), the anode pool (26) and the calomel electrode (29) form a corrosion device in the pipeline; the electrochemical workstation (22) transmits the reaction signal to a computer (23) through a wire (24) for processing.
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