CN108562639A - A kind of outer detection method of buried steel pipeline Life cycle defect - Google Patents
A kind of outer detection method of buried steel pipeline Life cycle defect Download PDFInfo
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/72—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables
- G01N27/82—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws
- G01N27/83—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws by investigating stray magnetic fields
- G01N27/85—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws by investigating stray magnetic fields using magnetographic methods
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
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Abstract
The present invention provides detection methods outside a kind of buried steel pipeline Life cycle defect, belong to pipeline non-destructive testing technical field.This method using pipeline from stray field signal historical data as benchmark, current defect of pipeline situation is evaluated, it is easy to operate, it is at low cost, it is applied widely, mainly include following eight steps：Step 1, the basic data of collection conduit；Step 2 divides pipeline section section and its subinterval；Step 3, natural leak magnetic field data when collection conduit is completed；Step 4, natural leak magnetic field data when collection conduit pressure testing；Step 5, natural leak magnetic field data when collection conduit initial launch；Step 6, the natural leak magnetic field data during collection conduit operation；Step 7 calculates the pipeline natural leak magnetic field signal degree of correlation；Step 8 determines the sequence of pipeline section defect severity and excavates detailed inspection subinterval.
Description
Technical field
The invention patent relates to pipeline non-destructive testing fields, especially a kind of to be lacked for buried steel pipeline Life cycle
Fall into the lossless detection method of identification, positioning and severity sequence.
Background technology
Oneself becomes the prevailing traffic mode of the energy such as oil and gas to steel pipe, is played in national economy more next
Bigger effect.In order to ensure the operational safety of pipeline, it is necessary to carry out periodic detection to it, to pinpoint the problems in time, take
Measures to rectify and reform avoid causing huge economic losses and casualties to prevent great safety accident.
Currently, conventional method for detecting pipeline has Magnetic Flux Leakage Inspecting, ultrasound examination, excusing from death Guided waves, EDDY CURRENT, magnetic
Powder detection etc., wherein Magnetic Flux Leakage Inspecting be most widely used and it is ripe, but Magnetic Flux Leakage Inspecting is a kind of Inner Examination Technology on Pipeline, to pipe
Required by the specification in road has, it is be easy to cause blocking, and electromagnetic pollution can be caused, increases the cost of magnetization and demagnetization.
Steel pipe is in earth's magnetic field, by spontaneous under the action of other external applied loads such as internal pressure, temperature stress and soil pressure
Magnetization is formed in Near Pipelines from stray field.Since stress state, the amount of ferromagnetic material and ferromagnetic material are distributed at defect of pipeline
Variation, cause to be distorted from stray field.Therefore, by magnetic gradiometer obtain this distortion can identify and position it is scarce
It falls into.However, this method has various problems in application process at present, include mainly：
(1) at present by magnetic gradiometer obtain natural leak magnetic field magnetic induction intensity gradient signal analysis mainly taking human as
Based on judgement, accuracy can not ensure；
(2) natural leak magnetic field theory computational methods need to obtain the underlying parameters such as pipeline magnetic characteristic, complicated for operation, cost compared with
Height, precision is low, and practicability is low；
(3) current method cannot effectively differentiate the severity of defect, cannot be accurately from a large amount of natural leaks
The major defect that need to be excavated and detect and repair in detail is screened out in the pipeline section of magnetic field gradient abnormal signal.
Based on above analysis shows, be badly in need of at present it is a kind of be simply applicable in, buried steel pipeline defects detection side at low cost
Method reduces human error, improves what major defect was screened to realize that the identification, positioning and severity of defect of pipeline are sorted
Accuracy, to effectively ensure the safety of pipeline.
Therefore, the present invention proposes a kind of based on from the pipeline Life cycle defects detection side of stray field historical data
Method.This method is by the dynamic monitoring to pipeline from stray field, using historical data as the differentiation base of current defect of pipeline situation
It is accurate.This defect inspection method based on historical data need not be to carrying out theoretical calculation, easy to operate, cost from stray field
It is low, it is applied widely.
Invention content
The present invention provides a kind of based on the method detected from outside the buried steel pipeline defect of stray field historical data.Fortune
The functions such as the identification, positioning and grade classification of buried steel pipeline defect can be realized with this method, are reduced man's activity, are effectively discriminated
Do not go out to seriously affect the defect of pipe safety, guarantee is provided for the safe operation of pipeline.Based on burying from stray field historical data
Detection method, core are to answer the basic data of collection conduit first and carry out subregion to pipeline ground steel pipe defect outside,
Secondly, the environmental factor of magnetic gradiometer accuracy of data acquisition is influenced along investigation cleaning femoral canal road；Again, collected from stray field
Magnetic induction intensity gradient gradient signal；Then, on the basis of historical signal data, the natural leak magnetic field gradient that arrives according to current collection
Signal determines each pipeline section currently from the degree of correlation of stray field signal and historical signal data；Finally, based on the correlation being calculated
Degrees of data is from low to high ranked up pipeline according to the degree of correlation, and filter out the serious pipeline of defect condition carry out excavate and
Detailed inspection.
A kind of outer detection method of buried steel pipeline defect includes mainly the following contents：
(1) basic data of collection conduit.Basic data include the design data of pipeline, completion information, routing, material,
Outer diameter, wall thickness, buried depth, cathode protection device, yard position, the cathodic protection position of yard, the design pressure of pipeline, operation pressure
Power, the hydraulic grade line of pipeline, the accident record of pipeline, detection and the maintenance record of pipeline, the stopping transportation of pipeline record, pipeline
Operating mode variation record.These data constitute the basic database of pipeline.
(2) pipeline section section and subinterval divide.Whole pipeline is divided into several pipeline sections, the division of pipeline section should be according to inspection
The positions such as the input and delivery outlet position in test tube road, heating station and compressor station, the position of reducer pipe, the position for becoming wall thickness, valve
Door position, the position of pipeline deflecting, pipeline have the position for wearing Oil pipeline, pipeline the moon to protect position of test pile etc. and determine reasonably
Assess pipeline section section.After determining pipeline subregion, it should determine that sub- pipeline section, sub- pipeline section are defect of pipeline inspections in each pipeline section subregion
The minimum unit of survey.Pipeline section section is named as S, then S is the set of all pipeline section sections composition, as shown in formula (1).
S={ S1, S2, S3,…Si,…,Sm} (1)
S is the set of each pipeline section section composition, S in formulaiFor pipeline section section, S1, S2, S3Deng total m pipeline section section, according to
Pipeline mileage is ranked up from pipeline starting point to pipeline terminal.
Each pipeline section is made of several sub- pipeline sections, and the set of sub- pipeline section constitutes section, as formula (2) show section Si's
Aggregate expression.Sub- pipeline section represents a signal data acquisition point in the detection.
Si={ Si1, Si2, Si3,…Sij,…,Smn} (2)
S in formulaiFor the pipeline section section of each subinterval composition, Si1, Si2, Si3Deng total n section according to pipeline mileage from pipeline section
Section starting point is to pipeline section section terminal to being ranked up, SijFor pipeline section section SiJ-th of subinterval.
(3) acquisition of natural leak magnetic field data when pipeline is completed.After pipeline is completed, before pipeline pressure test, along pipeline starting point to pipe
Natural leak magnetic field magnetic induction intensity gradient signal value above road terminal collection conduit, gradient signal includes the component in 3 directions, point
Not Wei x-axis direction component (component perpendicular to conduit axis direction), y-axis direction component (along conduit axis direction point
Amount) and z-axis direction component (perpendicular to pipeline place plane component).Data are carried out according to the pipeline subregion completed
It arranges, each subinterval separately includes three groups of data, i.e. x-axis direction, and the data in y-axis direction and z-axis direction use BC respectivelyijx,
BCijy, BCijzIt indicates.
(4) when pipeline pressure test natural leak magnetic field data collection.After pipeline pressure test, pipeline will carry out pressure testing.Examination
The pressure test pressure of pipeline, the hydraulic grade line of pressure testing pipeline section are recorded when pressure first.During pressure testing, along rising for pressure testing duct section
For point to the natural leak magnetic field magnetic induction intensity gradient three component signal of terminal collection conduit, signal equally includes three parts, respectively x
The component (component perpendicular to conduit axis direction) of axis direction, the component (component along conduit axis direction) and z in y-axis direction
The component of axis direction (perpendicular to the component of plane where pipeline).Data are arranged according to the pipeline subregion completed,
Each subinterval separately includes three groups of data, i.e. x-axis direction, and the data in y-axis direction and z-axis direction use BT respectivelyijx, BTijy,
BTijzIt indicates.
(5) natural leak magnetic field data is collected when pipeline initial launch.It is rectified and improved after pressure testing and pressure testing, whole pipeline can be considered
Zero defect pipeline.Using three-component magnetic gradiometer along the natural leak magnetic field magnetic induction intensity ladder of pipeline origin-to-destination collection conduit
Three component signal is spent, signal equally includes three parts, respectively component (point perpendicular to conduit axis direction of x-axis direction
Amount), the component (component along conduit axis direction) in y-axis direction and the component in z-axis direction are (perpendicular to point of plane where pipeline
Amount).Data are arranged according to the pipeline subregion completed, each subinterval separately includes three groups of data, i.e. x-axis side
To the data in y-axis direction and z-axis direction use BS respectivelyijx, BSijy, BSijzIt indicates.
(6) natural leak magnetic field data during collection conduit operation.During conduit running, periodically to pipeline from stray field into
Row is collected, and before collection work carries out, should remove ferromagnetism chaff interferent along pipeline, then utilizes three-component magnetic gradiometer along pipe
The natural leak magnetic field magnetic induction intensity gradient three component signal of road origin-to-destination collection conduit, signal equally include three parts, point
Not Wei x-axis direction component (component perpendicular to conduit axis direction), y-axis direction component (along conduit axis direction point
Amount) and z-axis direction component (perpendicular to pipeline place plane component).Data are carried out according to the pipeline subregion completed
It arranges, each subinterval separately includes three groups of data, i.e. x-axis direction, and the data in y-axis direction and z-axis direction use BO respectivelyijx,
BOijy, BOijzIt indicates.
(7) pipeline natural leak magnetic field gradient three component signal Controlling UEP.In the whole life cycle of pipeline, pass through meter
The similarity factor from stray field signal (historical data) currently obtained from stray field signal with last detection is calculated, pipeline is assessed
Defect condition.Collected natural leak Field signal value is divided by pipeline subinterval in each stage of defect of pipeline assessment
Class, and the natural leak magnetic field data of each subinterval current generation is obtained with similarity factor on last stage along x-axis, y-axis and z-axis side
To component value Six, Siy, SizAnd average value SiComputational methods such as formula (3)~(6) shown in.
F in formulaiFor the similarity average value in the i-th subinterval of pipeline；fix, fiy, fizFor the similarity in the i-th subinterval of pipeline
Along x-axis, the component of y-axis and z-axis；Bpijx, BpijyAnd BpijzFor the current natural leak magnetic field magnetic induction intensity in the i-th subinterval of pipeline
Gradient is along x-axis, the component of y-axis and z-axis；Blijx, BlijyAnd BlijzWhen being detected for pipeline the i-th subinterval last time from leakage field
Field magnetic induction intensity gradient is along x-axis, the component of y-axis and z-axis.
(8) it determines the sequence of pipeline section defect severity and excavates detailed inspection pipeline section.According to fiValue size, to detection
The defect condition of all pipeline sections (m sections total) of pipeline is ranked up (from low to high).Pipeline section fiValue it is smaller, defect level is got over
Seriously.After the completion of sequence, first choose rank the first with second pipeline section as excavate in detail detection pipeline section, excavated and connect
Detection is touched, and the applicability of defect is evaluated according to relevant standard, if two subintervals all meet fitness-for-service assessment,
Stop excavating detection in detail；If wherein at least one point is unsatisfactory for fitness-for-service assessment, continue to choose ranking relatively rearward
The pipeline section that two points detect in detail as excavation repeats aforesaid operations, and two until continuously taking excavate detailed test point and meet
Stop the operation when fitness-for-service assessment.
Description of the drawings
The flow chart that 1 detection method of attached drawing is realized；
2 pipeline of attached drawing is from relative position schematic diagram between stray field three-component and pipeline；
The component of detected natural leak magnetic field magnetic induction intensity along the x-axis direction twice before and after 3 example pipeline of attached drawing；
The component of detected natural leak magnetic field magnetic induction intensity along the y-axis direction twice before and after 4 example pipeline of attached drawing；
The component of detected natural leak magnetic field magnetic induction intensity along the z-axis direction twice before and after 5 example pipeline of attached drawing.
Specific implementation mode
Specific implementation mode is described in detail below in conjunction with attached drawing and example, so that advantages and features of the invention
It can be easier to be understood by the person skilled in the art, so as to make a clearer definition of the protection scope of the present invention.
A kind of outer detection method of buried steel pipeline Life cycle defect includes mainly eight steps, flow such as attached drawing
Shown in 1, it is as follows：
Step 1, the basic data of collection conduit.Basic data includes design data, completion information, routing, the material of pipeline
Matter, outer diameter, wall thickness, buried depth, cathode protection device, yard position, the cathodic protection position of yard, the design pressure of pipeline, fortune
Detection and maintenance record, the stopping transportation of pipeline record, the pipe of row pressure, the hydraulic grade line of pipeline, the accident record of pipeline, pipeline
The operating mode variation record in road.
Step 2 divides pipeline section section and its sub- pipeline section.Whole pipeline is divided into several pipeline sections, root is answered in pipeline section division
According to the positions such as the detection input and delivery outlet position of pipeline, heating station and compressor station, reducer pipe position, become the position of wall thickness
It sets, valve location, the position of pipeline deflecting, pipeline have the position for wearing Oil pipeline, pipeline the moon to protect the pipelines such as the position of test pile
Information rationally determines.After determining pipeline subregion, it should determine that the sub- pipeline section in subregion, subinterval are pipes in each pipeline section subregion
The minimum unit of road defects detection.Pipeline section should be not more than 100m, and sub- pipeline section should be not more than 1m.Every sub- pipeline section at least determines one
Test point, so that the position of defect is precisely located in late detection.Pipeline section section is named as S, then S is all pipeline section areas
Between the set that forms, as shown in formula (1).
S={ S1, S2, S3,…Si,…,Sm} (7)
S is the set of each pipeline section section composition, S in formulaiFor pipeline section, S1, S2, S3Deng total m pipeline section, according to pipeline mileage
It is ranked up from pipeline starting point to pipeline terminal.
Each pipe section is made of several sub- pipeline sections, and the set of sub- pipeline section constitutes pipeline section, as formula (2) show section
SiAggregate expression.
Si={ Si1, Si2, Si3,…Sij,…,Smn} (8)
S in formulaiFor the pipeline section section of each subinterval composition, Si1, Si2, Si3Deng total n section according to pipeline mileage from pipeline section
Starting point is to pipeline section terminal to being ranked up, SijFor pipeline section SiJ-th of sub- pipeline section.
Step 3, natural leak magnetic field data when collection conduit is completed.After pipeline is completed, before pipeline pressure test, using three-component
Magnetic gradiometer is along pipeline starting point to the natural leak magnetic field magnetic induction intensity gradient three component signal above pipeline terminal collection conduit
Value.Data are arranged according to the pipeline subregion completed.Each subinterval separately includes three groups of data, i.e. x-axis direction,
The data in y-axis direction and z-axis direction use BC respectivelyijx, BCijy, BCijzIt indicates.
Step 4, natural leak magnetic field data when collection conduit pressure testing.The pressure test pressure of pipeline, pressure testing are recorded when pressure testing first
The hydraulic grade line of pipeline section.During pressure testing, the ferromagnetism chaff interferent along pipeline is first removed, three-component magnetic force is then used
Natural leak magnetic field magnetic induction intensity gradient three component signal of the gradient former along the origin-to-destination collection conduit of pressure testing duct section.According to
The pipeline subregion completed arranges data.Each subinterval separately includes three groups of data, i.e. x-axis direction, y-axis direction
With the data in z-axis direction, BT is used respectivelyijx, BTijy, BTijzIt indicates.
Step 5, natural leak magnetic field data when collection conduit initial launch.Ferromagnetism chaff interferent along pipeline is removed first,
Then divided along the natural leak magnetic field magnetic induction intensity gradient three of pipeline origin-to-destination collection conduit using three-component magnetic gradiometer
Measure signal.Data are arranged according to the pipeline subregion completed.Each subinterval separately includes three groups of data, i.e. x-axis
Direction, the data in y-axis direction and z-axis direction, uses BS respectivelyijx, BSijy, BSijzIt indicates.
Step 6, the natural leak magnetic field data during collection conduit operation.Ferromagnetism chaff interferent along pipeline is removed first, so
Utilize three-component magnetic gradiometer along the natural leak magnetic field magnetic induction intensity gradient three-component of pipeline origin-to-destination collection conduit afterwards
Signal.Data are arranged according to the pipeline subregion completed.Each subinterval separately includes three groups of data, i.e. x-axis side
To the data in y-axis direction and z-axis direction use BO respectivelyijx, BOijy, BOijzIt indicates.
Step 7 calculates pipeline natural leak magnetic field signal similarity factor.By calculating when preceding pipeline from stray field signal with
The similarity factor from stray field signal (historical data) that last time detection obtains, assesses the defect condition of pipeline, and obtains every
Component value S of the corresponding similarity factor in a subinterval along x-axis, y-axis and z-axis directionix, Siy, SizAnd average value Si, such as formula
(3) shown in~(6).
F in formulaiFor the similarity average value in the i-th subinterval of pipeline；fix, fiy, fizFor the similarity in the i-th subinterval of pipeline
Along x-axis, the component of y-axis and z-axis；Bpijx, BpijyAnd BpijzFor the current natural leak magnetic field magnetic induction intensity in the i-th subinterval of pipeline
Gradient is along x-axis, the component of y-axis and z-axis；Blijx, BlijyAnd BlijzWhen being detected for pipeline the i-th subinterval last time from leakage field
Field magnetic induction intensity gradient is along x-axis, the component of y-axis and z-axis.
Step 8 determines the sequence of pipeline section defect severity and excavates detailed inspection pipeline section.According to fiValue size, it is right
The defect condition for detecting all pipeline sections (m sections total) of pipeline is ranked up (from low to high).Pipeline section fiValue it is smaller, defect journey
Degree is more serious.After the completion of sequence, first choose rank the first with second pipeline section as excavate in detail detection pipeline section, opened
It digs, and defect of pipeline situation is detected in detail using the methods of metal magnetic memory test, excusing from death detection and ray detection, and
The applicability of defect is evaluated according to relevant standard, if two subintervals all meet fitness-for-service assessment, stops excavating
Detection in detail；If wherein at least one point is unsatisfactory for fitness-for-service assessment, continue to choose the two points work of ranking relatively rearward
To excavate the pipeline section detected in detail, aforesaid operations are repeated, are commented until the two detailed test points of excavation continuously taken meet applicability
Stop the operation when valence.
With reference to an experimental channel, the defect in its pressure testing stage is detected using the method for the invention, to
The application principle of the present invention is further elaborated：
The first step, according to one the method for above-mentioned steps, the basic data of collection conduit.Pipe diameter is 426mm, wall thickness
For 9.5mm, length 45m.
Second step divides pipeline section section and its sub- pipeline section according to the computational methods of step 2.Due to the experimental channel compared with
It is short, so 6 sections are divided into, every section of 7.5m.Each pipeline section is divided into 15 sub- pipeline sections, and every sub- pipeline section chooses a survey
Amount point.That is m=6, n=15.
Step 3, natural leak magnetic field data when collection conduit is completed.Above three-component magnetic gradiometer collection conduit
Natural leak magnetic field magnetic induction intensity three component seismic data, obtain pipeline be completed when (no internal pressure) natural leak magnetic field magnetic induction intensity three divide
(x-axis component, y-axis component and z-axis component) is measured along the change curve of pipeline mileage respectively as shown in solid in Fig. 3,4 and 5.
Step 4, natural leak magnetic field data when collection conduit pressure testing.Equally use three-component magnetic gradiometer collection conduit
The natural leak magnetic field magnetic induction intensity three component seismic data of top obtains natural leak magnetic field magnetic induction intensity three-component (x when pipeline pressure test
Axis component, y-axis component and z-axis component) along pipeline mileage change curve respectively as shown in dotted line in Fig. 3,4 and 5.
Since the defect to the pipeline pressure test stage is detected, therefore the operation of the 5th and the 6th step need not be carried out.
Step 7 calculates pipeline natural leak magnetic field signal similarity factor.The natural leak magnetic field magnetic induction obtained before and after pressure testing is strong
Degree three component seismic data is arranged according to pipeline section subregion, calculates every segment pipe from the similarity factor of stray field along x-axis, y-axis and z
The component value and average value of axis.
Step 8, the sequence of pipeline section defect severity and the determination for excavating detailed inspection pipeline section.It is average according to similarity factor
Value fiSize, the defect condition of all pipeline sections (totally 6 sections) to detecting pipeline is ranked up (from low to high).Pipeline section fiValue
Smaller, defect level is more serious.The results are shown in Table 1.According to ranking results, pipeline section S is chosen3And S1It is detected in detail.In detail
Examining survey is the result shows that pipeline section defect condition meets fitness-for-service assessment standard.Therefore, which terminates.
1 pipeline section defect severity of table sorts
| Sequence | Pipeline section | Similarity factor |
| 1 | S3 | 0.893167 |
| 2 | S1 | 0.926192 |
| 3 | S2 | 0.952753 |
| 4 | S5 | 0.972155 |
| 5 | S4 | 0.977544 |
| 6 | S6 | 0.983419 |
Claims (8)
1. a kind of outer detection method of buried steel pipeline Life cycle defect, which is characterized in that the buried steel pipeline is given birth to entirely
It includes mainly following eight steps to order the outer detection method of cycle defects：Step 1, the basic data of collection conduit；Step 2 is drawn
It is in charge of section section and its sub- pipeline section；Step 3, natural leak magnetic field data when collection conduit is completed；Step 4, collection conduit pressure testing
When natural leak magnetic field data；Step 5, natural leak magnetic field data when collection conduit initial launch；Step 6, collection conduit operation
The natural leak magnetic field data of period；Step 7 calculates the pipeline natural leak magnetic field signal degree of correlation；Step 8 determines defect severity
Sequence and excavation detailed inspection pipeline section.
2. step 2 as described in claim 1 divides pipeline section section and its subinterval, which is characterized in that division should be according to inspection
The positions such as the input and delivery outlet position in test tube road, heating station and compressor station, the position of reducer pipe, the position for becoming wall thickness, valve
Door position, the position of pipeline deflecting, pipeline have the position for wearing Oil pipeline, pipeline the moon to protect position of test pile etc. and determine reasonably
Assess pipeline section section；After determining pipeline subregion, it should determine that the sub- pipeline section in subregion, subinterval are pipes in each pipeline section subregion
The minimum unit of road defects detection；Pipeline section should be not more than 100m, and sub- pipeline section should be not more than 1m；Every sub- pipeline section at least determines one
Test point, so that the position of defect is precisely located in late detection；Pipeline section section is named as S, then S is all pipeline section sections
The set of composition, as shown in formula (1)；Each pipe section is made of several sub- pipeline sections, and the set of sub- pipeline section constitutes section, such as
Shown in formula (2)：
S={ S1, S2, S3,…Si,…,Sm} (1)
Si={ Si1, Si2, Si3,…Sij,…,Smn} (2)
S is the set of each pipeline section section composition, S in formulaiFor pipeline section section, S1, S2, S3Deng total m pipeline section section, according in pipeline
Journey is ranked up from pipeline starting point to pipeline terminal；Si1, Si2, Si3Deng total n section according to pipeline mileage from pipeline section section starting point
To pipeline section section terminal to being ranked up, SijFor pipeline section section SiJ-th of subinterval.
3. step 3 as described in claim 1, natural leak magnetic field data when collection conduit is completed, which is characterized in that collecting
From before stray field, it should first remove the ferromagnetism chaff interferent along pipeline and answer；Then after pipeline completion, before pressure testing, using three points
Magnetic gradiometer is measured along pipeline starting point to believe to the natural leak magnetic field magnetic induction intensity gradient three-component above pipeline terminal collection conduit
Number value；Finally data are arranged according to the pipeline subregion completed, each subinterval separately includes three groups of data, i.e. x
Axis direction, the data in y-axis direction and z-axis direction, uses BC respectivelyijx, BCijy, BCijzIt indicates.
4. step 4 as described in claim 1, natural leak magnetic field data when collection conduit pressure testing, which is characterized in that in pressure testing
Before, it should first remove the ferromagnetism chaff interferent along pipeline；Then use three-component magnetic gradiometer along the starting point of pressure testing duct section
To the natural leak magnetic field magnetic induction intensity gradient three component signal of terminal collection conduit；And according to the pipeline subregion logarithm completed
According to being arranged；Each subinterval separately includes three groups of data, i.e. x-axis direction, and the data in y-axis direction and z-axis direction are used respectively
BTijx, BTijy, BTijzIt indicates.
5. step 5 as described in claim 1, natural leak magnetic field data when collection conduit initial launch, which is characterized in that first
Ferromagnetism chaff interferent along pipeline should first be removed；Then utilize three-component magnetic gradiometer along pipeline origin-to-destination collection conduit
Natural leak magnetic field magnetic induction intensity gradient three component signal；Finally data are arranged according to the pipeline subregion completed,
Each subinterval separately includes three groups of data, i.e. x-axis direction, and the data in y-axis direction and z-axis direction use BS respectivelyijx, BSijy,
BSijzIt indicates.
6. step 6 as described in claim 1, the natural leak magnetic field data during collection conduit operation, which is characterized in that first
Ferromagnetism chaff interferent along pipeline should be removed；Then utilize three-component magnetic gradiometer along pipeline origin-to-destination collection conduit
Natural leak magnetic field magnetic induction intensity gradient three component signal；Finally data are arranged according to the pipeline subregion completed, often
A subinterval separately includes three groups of data, i.e. x-axis direction, and the data in y-axis direction and z-axis direction use BO respectivelyijx, BOijy,
BOijzIt indicates.
7. step 7 as described in claim 1 calculates the pipeline natural leak magnetic field signal degree of correlation, which is characterized in that will be collected into
Natural leak Field signal value classify by pipeline subinterval, and calculate each subinterval pressure testing stage according to formula (3)~(6)
With the similarities of completed papers along the component value S in x-axis, y-axis and z-axis directionix, Siy, SizAnd average value Si：
F in formulaiFor the similarity average value in the i-th subinterval of pipeline；fix, fiy, fizFor the i-th subinterval of pipeline similarity along x-axis,
The component of y-axis and z-axis；Bpijx, BpijyAnd BpijzIt is the current natural leak magnetic field magnetic induction intensity gradient in the i-th subinterval of pipeline along x
The component of axis, y-axis and z-axis；Blijx, BlijyAnd BlijzNatural leak magnetic field magnetic induction when being detected for pipeline the i-th subinterval last time
Intensity gradient is along x-axis, the component of y-axis and z-axis.
8. step 8 as described in claim 1 determines the sequence of pipeline section defect severity and excavates detailed inspection pipeline section, special
Sign is, according to fiValue size, to detect pipeline all pipeline sections (m sections total) defect condition be ranked up (by as low as
It is high)；Pipeline section fiValue it is smaller, defect level is more serious；After the completion of sequence, the pipeline section work to rank the first with second is chosen first
Pipeline section is detected in detail to excavate, and is excavated and contacted detection, and evaluate the applicability of defect according to relevant standard,
If two subintervals all meet fitness-for-service assessment, stop excavating detailed detection；If wherein at least one point is unsatisfactory for being applicable in
Property evaluation, then continue to choose ranking two points relatively rearward as the pipeline section detected in detail is excavated, repeatedly aforesaid operations, until
Two continuously taken, which excavate when detailed test point meets fitness-for-service assessment, stops the operation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810030202.9A CN108562639B (en) | 2018-01-12 | 2018-01-12 | Method for detecting defects of buried steel pipeline in whole life cycle |
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| WO2024016162A1 (en) * | 2022-07-19 | 2024-01-25 | 烟台杰瑞石油装备技术有限公司 | Coiled tubing string full-life-cycle management method and system, and storage medium |
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