CN107861167A - A kind of program control monitoring insulation cladding pipelines on multiphase flow fluidised form of gamma-rays induces the abnormal method of corrosion - Google Patents
A kind of program control monitoring insulation cladding pipelines on multiphase flow fluidised form of gamma-rays induces the abnormal method of corrosion Download PDFInfo
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- 230000007797 corrosion Effects 0.000 title claims abstract description 48
- 238000005260 corrosion Methods 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000012544 monitoring process Methods 0.000 title claims abstract description 35
- 230000002159 abnormal effect Effects 0.000 title claims abstract description 34
- 238000005253 cladding Methods 0.000 title claims abstract description 14
- 238000009413 insulation Methods 0.000 title claims abstract description 12
- 238000005259 measurement Methods 0.000 claims abstract description 12
- 230000005251 gamma ray Effects 0.000 claims description 28
- 239000007788 liquid Substances 0.000 claims description 16
- 238000004321 preservation Methods 0.000 claims description 13
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- 239000011248 coating agent Substances 0.000 claims description 11
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- 238000009826 distribution Methods 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000012353 t test Methods 0.000 claims description 6
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- 238000000692 Student's t-test Methods 0.000 claims description 2
- 239000003208 petroleum Substances 0.000 abstract description 7
- 238000004458 analytical method Methods 0.000 abstract description 3
- 230000002547 anomalous effect Effects 0.000 abstract 1
- 239000003595 mist Substances 0.000 abstract 1
- 239000012808 vapor phase Substances 0.000 abstract 1
- 239000010410 layer Substances 0.000 description 6
- 239000011247 coating layer Substances 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 239000002184 metal Substances 0.000 description 2
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- 239000012530 fluid Substances 0.000 description 1
- 239000012774 insulation material Substances 0.000 description 1
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- G01V5/04—Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity specially adapted for well-logging
- G01V5/08—Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity specially adapted for well-logging using primary nuclear radiation sources or X-rays
- G01V5/12—Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity specially adapted for well-logging using primary nuclear radiation sources or X-rays using gamma or X-ray sources
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Abstract
The invention discloses a kind of program control monitoring insulation cladding pipelines on multiphase flow fluidised form of gamma-rays to induce the abnormal method of corrosion, comprises the following steps：（1）, to insulation Clad pipe vapor phase areas roentgen dose X fluctuation scanning, by contrasting the gamma-rays dose data of same location recorded recently, judge to occur abnormal with the presence or absence of fluidised form and cause heavy corrosion risk in identification insulation cage walls；（2）, by the gamma-rays dosage of analysis measurement, judge to be incubated whether fluidised form in Clad pipe is slug flow；（3）, by contrasting the gamma-rays dose data of same location recorded recently, judge whether current fluidised form has turned to ring mist flow.A kind of program control monitoring insulation cladding pipelines on multiphase flow fluidised form of gamma-rays of the present invention induces the abnormal method of corrosion, realize in the case where not removing insulation clad, accurately petroleum and petrochemical industry Clad pipe multiphase flow fluidised form corrodes anomalous variation under all kinds of operating modes of ONLINE RECOGNITION, meets a variety of corrosion hazards status monitoring needs in practical application.
Description
Technical Field
The invention relates to a method for monitoring corrosion abnormity of a heat-insulating clad pipeline through gamma-ray program control in a multiphase flow state, and belongs to the field of monitoring of corrosion abnormity of a petrochemical heat-insulating clad pipeline.
Background
In many process links of petroleum and petrochemical industry, the risk of multiphase flow erosion exists, the change of multiphase flow state causes the mutation of corrosion mechanism, thereby causing corrosion abnormal change, and the change is difficult to be perceived, thereby often causing serious petroleum and petrochemical leakage accidents.
Therefore, the operation of the petroleum and petrochemical process system has huge equipment and pipeline corrosion abnormal risks, and the flow state abnormal state on-line monitoring must be realized for the continuous long-period operation of the pressure system. And the petroleum and petrochemical working conditions are complex, operating environments such as high temperature and ultralow temperature exist, and due to the requirements of production safety and the like, the pipeline heat preservation is not allowed to be broken for monitoring, and the on-line monitoring technology under the high-precision heat preservation layer can only be searched. This requirement cannot be achieved using conventional ultrasound, electromagnetic techniques.
Disclosure of Invention
The invention aims to solve the technical problem of overcoming the defects of the prior art and provides a method for non-invasively monitoring the multiphase flow state induced corrosion abnormality of a petroleum and petrochemical coating pipeline without removing a heat preservation coating.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a gamma-ray program-controlled method for monitoring corrosion abnormality induced by multiphase flow of a heat-insulation coated pipeline comprises the following steps:
(1) Carrying out ray dose fluctuation scanning on a gas phase region of the heat-preservation cladding pipe, and judging and identifying whether serious corrosion risks are caused due to abnormal flow state in the heat-preservation cladding pipe or not by comparing the latest recorded gamma ray dose data at the same position;
(2) When the serious corrosion risk caused by abnormal flow state is judged, whether the flow state in the heat-insulating coated pipeline is slug flow or not is judged by analyzing the measured gamma-ray dosage;
(3) And when the serious corrosion risk caused by the abnormal flow state is judged to exist and the flow state is not converted into slug flow, judging whether the current flow state is converted into the annular fog flow or not by comparing the recently recorded gamma ray dosage data at the same position.
The method for judging and identifying whether the serious corrosion risk caused by abnormal flow state exists in the heat-insulating cladding pipe comprises the following steps:
1) Measuring the pipeline to be measured k times, wherein the time interval of each time is f;
2) Recording the gamma-ray dose of the ith measurement as d i Record the corresponding measurement number n i = i, wherein i has a value from 1 to k;
3) And calculating all d i Average value d of avg And standard deviation d stv As shown in formulas (1) and (2);
4) Extracting the latest recorded gamma-ray dose data m of the same measurement positions of the k pipelines i And calculate all m i Average value m of avg And standard deviation m stv Wherein i is 1 to k, as shown in formulas (3) and (4);
5) Using t test method, using d avg 、d stv ，m avg 、m stv Calculating corresponding t distribution calculation value t 0 Calculating a critical reference value t with a confidence level of 0.05 as shown in formula (5) r If t is 0 ≥t r If not, determining that the risk of serious corrosion caused by abnormal flow state does not exist, and comparing d i To d k Is stored in a background database and is stored in a background database,
the method for judging whether the flow state in the heat-insulation coated pipeline is slug flow comprises the following steps:
1) When the flow state is judged to be abnormal and serious corrosion risks are caused, the d pairs are respectively arranged i And its mean value d avg Carry out comparison if d i ≥d avg If so, let gcn j ＝d i Otherwise let lcn m ＝d i， And separately count gcn j Total amount of data u, and lcn m Wherein j is 1 to u, and m is 1 to v;
2) Separately calculating gcn j And lcn m Mean value gcn of avg 、lcn avg As shown in formulas (6) and (7), and a standard deviation gcn stv 、lcn stv As shown in formulas (8) and (9);
3) Using a t-test method with gcn avg 、lcn avg 、gcn stv 、lcn stv Calculating a corresponding t distribution calculation value tcn as shown in formula (10), taking the confidence level as 0.05, and calculating a critical reference value tcn r If tcn is greater than or equal to tcn r If yes, judging that the current flow state is converted into the slug flow, and executing the step 4), otherwise, judging that the current flow state is not converted into the slug flow;
calculating the gas content gr and the liquid content lr of the slug flow by using u and v, as shown in formulas (11) and (12);
gr＝1-lr (11)
frequency of air plug length fgs k Initial value of 0, liquid plug length frequency fls k Initial value is 0, and according to monitoring data d i In the order of acquisition of (d) i ≥d avg Then fgs k ＝fgs k +1, up to d i <d avg Obtaining data samples of the length frequency of the air plug in the monitoring time, if d i <d avg Then fls k ＝fls k +1, up to d i ≥d avg Obtaining the data sample of the length frequency of the liquid plug in the monitoring time, fgs k And fls k The sample size is n;
using nominal flow velocities fv and fgs in the pipeline k 、fls k Calculating the air lock length gl k And liquid plug length ll k Samples, as shown in formulas (13) and (14), fgs k 、fls k The frequency of the gas and liquid plug lengths is determined for the slug flow.
gl k ＝f v ·fgs k ·f (13)
ll k ＝f v ·fls k ·f (14)。
If d is judged to be a case where the risk of serious corrosion caused by abnormal flow state does not exist and the abnormal flow state is not converted into slug flow avg >m avg If not, judging that the flow state change which can cause serious corrosion abnormity does not occur, and d i To d k And storing the data into a background database.
The number of measurements k is not less than 100.
The invention has the beneficial effects that: the invention provides a method for monitoring corrosion abnormity induced by multiphase flow state of a heat-insulating coated pipeline in a gamma-ray program control manner, wherein a scanning device is arranged outside a coating pipe without removing a heat-insulating coating layer, and a stepping motor drives a ray source and a detector; the scanning device identifies abnormal sudden changes of the flow state in the pipeline, which can cause serious abnormal corrosion, on line in a gas phase area of the pipeline, and determines the type of the flow state, thereby meeting the requirement of monitoring abnormal corrosion of the multiphase flow in practical application.
Drawings
FIG. 1 is a schematic diagram of the principle of gamma-ray program-controlled monitoring of corrosion abnormality induced by multiphase flow of a heat-insulating coated pipeline;
FIG. 2 is a schematic view of a multiphase flow insulated clad pipe;
FIG. 3 is a flow chart of a method for gamma-ray program-controlled monitoring of corrosion abnormality induced by multiphase flow of a heat-insulating coated pipeline;
FIG. 4 is a schematic view of the zoning and monitoring locations of the coated pipe.
Wherein the reference numbers are as follows: 1-gamma ray scanning means; 2-insulating cladding pipe; 3: a stepping motor; 41-gamma ray source; 42-a detector; 5-insulating layer; 6-a metal layer; 7-a layer of fouling material; a-a thermal insulation material zone; b-a metal layer region; c-a zone of fouling material; d-a multiphase flow gas zone; e-multiphase fluid liquid zone.
Detailed Description
The present invention is further described with reference to the accompanying drawings, and the following examples are only for clearly illustrating the technical solutions of the present invention, and should not be taken as limiting the scope of the present invention.
When the ray beam scans the cladding tube or the multilayer tube in the tangential direction, the distance inside the pipeline through which the ray passes is large, so that the residual dosage of the ray can be severely changed due to small change of an internal medium, and the abnormal change of the internal medium of the pipeline can be identified by carrying out data analysis on sampling data, so that the abnormal change of the flow state can be determined. The invention realizes the on-line identification of abnormal sudden change of the flow state in the pipeline, which can cause serious abnormal corrosion, without dismantling the heat-insulating coating layer, and determines the type of the flow state.
As shown in fig. 1, 2 and 4, the gamma-ray scanning device 1 is installed outside the heat-insulating coating pipe 2, the stepping motor 3 drives the gamma-ray source 41 and the detector 42 to be placed at appropriate positions of a gas phase area of a pipeline, and the monitoring time of each time is controlled; the gamma-ray scanning device 1 is set at a fixed position of a gas phase region of a multiphase flow pipeline, tangential scanning is carried out on the insulated cladding pipe 2, and the purposes of high-precision automatic flow state identification and analysis are achieved through scanning of ray dose fluctuation of the gas phase region and a mathematical algorithm, so that the corrosion abnormity caused by flow state change can be monitored on line, and the main steps are shown in figure 3.
The flow chart of fig. 3 is described in detail below.
1. The flow state change in the heat-preservation cladding pipe is identified,
1) Measuring the pipeline to be measured for k times, wherein the time interval of each time is f, and the measuring times k of each time are more than or equal to 100 as far as possible;
2) Record the gamma-ray dose of the ith measurement as d i Record the corresponding measurement number n i = i, wherein i has a value from 1 to k;
3) Calculate all d i Average value d of avg And standard deviation d stv As shown in formulas (1) and (2);
4) Extracting the latest recorded gamma-ray dosage data m of the same measurement positions of the k pipelines i And calculate all m i Average value m of avg And standard deviation m stv Wherein i is 1 to k, as shown in formulas (3) and (4);
5) Using t test method with d avg 、d stv ，m avg 、m stv Calculating corresponding t distribution calculation value t 0 And calculating a critical reference value t by inquiring a t distribution standard statistical table with the confidence level of 0.05 as shown in the formula (5) r If t is 0 ≥t r If not, determining that the risk of serious corrosion caused by abnormal flow state does not exist, and comparing d i To d k And storing the data into a background database.
2. Identifying whether the flow state in the heat-insulating coating pipe is slug flow or not,
step 1, when the serious corrosion risk caused by abnormal flow state exists, the d is paired one by one i And its mean value d avg Making a comparison, if d i ≥d avg Then let gcn j ＝d i Otherwise, order lcn m ＝d i And separately counts gcn j Total amount of data u, and lcn m Wherein j is from 1 to u, and m is from 1 to v;
step 2, calculating gcn respectively j And lcn m Mean value gcn of avg 、lcn avg As shown in formulas (6) and (7), and a standard deviation gcn stv 、lcn stv As shown in formulas (8) and (9);
step 3, adopting a t test method and using gcn avg 、lcn avg 、gcn stv 、lcn stv Calculating a corresponding t distribution calculation value tcn as shown in formula (10), taking the confidence level as 0.05, and calculating a critical reference value tcn by inquiring a t distribution standard statistical table r If tcn is greater than or equal to tcn r If so, judging that the current flow state is converted into the slug flow, and executing the step 4, otherwise, judging that the current flow state is not converted into the slug flow;
step 4, calculating the gas content gr and the liquid content lr of the slug flow by using u and v, as shown in formulas (11) and (12);
gr＝1-lr (11)
step 5, making the frequency of the length of the air plug fgs k Initial value of 0, liquid plug length frequency fls k Initial value is 0, and according to monitoring data d i In the order of acquisition of (a), if d i ≥d avg Then fgs k ＝fgs k +1, up to d i <d avg Obtaining the data sample of the length frequency of the air plug in the monitoring time, if d i <d avg Then fls k ＝fls k +1, up to d i ≥d avg Obtaining the data sample of the frequency of the length of the liquid plug in the monitoring time, fgs k And fls k The sample size is n;
step 6, utilizing the nominal flow velocity fv and fgs in the pipeline k 、fls k Calculating the air lock length gl k And liquid plug length ll k Samples, as shown in formulas (13) and (14), fgs k 、fls k The frequency of the gas and liquid plug lengths is determined for the slug flow.
gl k ＝f v ·fgs k ·f (13)
ll k ＝f v ·fls k ·f (14)
3. Identifying whether the flow state in the heat-insulating coating pipe is annular fog flow,
if d is judged to be a case where the risk of serious corrosion caused by abnormal flow state does not exist and the abnormal flow state is not converted into slug flow avg >m avg If not, judging that the flow state change which can cause serious corrosion abnormity does not occur, and d i To d k And storing the data into a background database.
The embodiment of the invention provides a method for non-invasively monitoring multiphase flow state induced corrosion abnormality of a petroleum and petrochemical coated pipeline without dismantling a heat preservation coating. In order to meet the requirements of identifying flow anomaly and dangerous flow type with high accuracy, the method discloses a gamma-ray scanning technology for tangentially monitoring the ray dose fluctuation of a gas phase region of a multiphase flow pipeline and automatically identifying and analyzing the flow by a mathematical algorithm. The method is characterized in that a scanning device is arranged outside a cladding pipe without removing a heat-preservation cladding layer, and a stepping motor drives a ray source and a detector; the scanning device is set in a gas phase area of the multiphase flow pipeline, tangential scanning is carried out on the insulated cladding pipe, and the purposes of high-precision automatic identification and flow state analysis are achieved through scanning of ray dose fluctuation of the gas phase area and a mathematical algorithm, so that the corrosion abnormity caused by flow state change can be monitored on line.
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.
Claims (6)
1. A gamma-ray program-controlled method for monitoring corrosion abnormality induced by multiphase flow of a heat-insulation coated pipeline is characterized by comprising the following steps: the method comprises the following steps:
(1) Carrying out ray dose fluctuation scanning on a gas phase region of the heat-insulating coating pipe, and judging and identifying whether serious corrosion risk is caused due to abnormal flow state in the heat-insulating coating pipe or not by comparing the gamma ray dose data of the same position which is recorded recently;
(2) When the serious corrosion risk caused by abnormal flow state is judged, whether the flow state in the heat-insulation coating pipeline is slug flow or not is judged by analyzing and measuring the gamma ray dosage;
(3) And when the serious corrosion risk caused by the abnormal flow state is judged to exist and the flow state is not converted into slug flow, judging whether the current flow state is converted into the annular fog flow or not by comparing the recently recorded gamma ray dosage data at the same position.
2. The method for gamma-ray programmed monitoring of the corrosion abnormality induced by the multiphase flow regime of the heat-preservation coated pipeline according to claim 1, is characterized in that: the method for judging and identifying whether the serious corrosion risk caused by abnormal flow state exists in the heat-insulating cladding pipe comprises the following steps:
1) Measuring the pipeline to be measured k times, wherein the time interval of each time is f;
2) Recording the gamma-ray dose of the ith measurement as d i Record the corresponding measurement number n i = i, wherein i has a value from 1 to k;
3) And calculating all d i Average value d of avg And standard deviation d stv As shown in formulas (1) and (2);
4) Extracting the latest recorded gamma-ray dosage data m of the same measurement positions of the k pipelines i And calculate all m i Average value m of avg And standard deviation m stv Wherein i is 1 to k, as shown in formulas (3) and (4);
5) By using t-test method with d avg 、d stv ，m avg 、m stv Calculating corresponding t distribution calculation value t 0 As shown in formula (5), and the confidence coefficient is 0.05Calculating a critical reference value t r If t is 0 ≥t r If not, determining that the risk of serious corrosion caused by abnormal flow state does not exist, and comparing d i To d k Is stored in a background database and is stored in a background database,
3. the method for gamma-ray programmed monitoring of the corrosion abnormality induced by the multiphase flow regime of the heat preservation clad pipeline according to claim 2, wherein the method comprises the following steps: the method for judging whether the flow state in the heat-insulation coating pipeline is the slug flow comprises the following steps:
1) And when the flow state is judged to have serious corrosion risk caused by abnormal flow state, the pairs d are respectively arranged i And its mean value d avg Carry out comparison if d i ≥d avg Then let gcn j ＝d i Otherwise let lcn m ＝d i And separately counts gcn j Total amount of data u, and lcn m Wherein j is from 1 to u, and m is from 1 to v;
2) Separately calculating gcn j And lcn m Mean value gcn of avg 、lcn avg As shown in formulas (6) and (7), and a standard deviation gcn stv 、lcn stv As shown in formulas (8) and (9);
3) Using the t test method with gcn avg 、lcn avg 、gcn stv 、lcn stv Calculating a corresponding t distribution calculation value tcn as shown in formula (10), taking the confidence level as 0.05, and calculating a critical reference value tcn r If tcn is greater than or equal to tcn r If yes, judging that the current flow state is converted into the slug flow, and executing the step 4), otherwise, judging that the current flow state is not converted into the slug flow;
4. the method for gamma-ray programmed monitoring of the corrosion abnormality induced by the multiphase flow regime of the heat preservation clad pipeline according to claim 3, wherein the method comprises the following steps: calculating the gas content gr and the liquid content lr of the slug flow by using u and v, as shown in formulas (11) and (12);
gr＝1-lr (11)
frequency of air plug length fgs k Initial value of 0, liquid plug length frequency fls k The initial value is 0 and according to the monitoring data d i In the order of acquisition of (d) i ≥d avg Then fgs k ＝fgs k +1, up to d i <d avg Obtaining data samples of the length frequency of the air plug in the monitoring time, if d i <d avg Then fls k ＝fls k +1, up to d i ≥d avg Obtaining the data sample of the frequency of the length of the liquid plug in the monitoring time, fgs k And fls k The sample size is n;
using nominal flow velocities fv and fgs in the pipeline k 、fls k Calculating the air lock length gl k And liquid plug length ll k Samples, as shown in formulas (13) and (14), fgs k 、fls k The frequency of the gas and liquid plug lengths used to determine slug flow,
gl k ＝f v ·fgs k ·f (13)
ll k ＝f v ·fls k ·f (14)。
5. the method for gamma-ray programmed monitoring of the corrosion abnormality induced by the multiphase flow regime of the heat preservation clad pipeline according to claim 4, wherein the method comprises the following steps: if d is judged to be a case where the risk of serious corrosion caused by abnormal flow state does not exist and the abnormal flow state is not converted into slug flow avg >m avg If not, judging that the flow state change which can cause serious corrosion abnormity does not occur, and d i To d k And storing the data into a background database.
6. The method for gamma-ray programmed monitoring of the corrosion abnormality induced by the multiphase flow regime of the heat preservation clad pipeline according to claim 2, wherein the method comprises the following steps: the number of measurements k is not less than 100.
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| CN110412062A (en) * | 2019-07-24 | 2019-11-05 | 广东石油化工学院 | A kind of diagnosis and monitoring method that Clad pipe corrosion is abnormal |
| CN110412062B (en) * | 2019-07-24 | 2022-03-15 | 广东石油化工学院 | Diagnosis and monitoring method for corrosion abnormity of clad pipeline |
| CN117571750A (en) * | 2023-11-29 | 2024-02-20 | 中国特种设备检测研究院 | Qualitative identification method and system for slug flow |
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