GB2581637A - System and method for detecting and remediating selective seam weld corrossion in a conduit - Google Patents

System and method for detecting and remediating selective seam weld corrossion in a conduit Download PDF

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Publication number
GB2581637A
GB2581637A GB2005407.8A GB202005407A GB2581637A GB 2581637 A GB2581637 A GB 2581637A GB 202005407 A GB202005407 A GB 202005407A GB 2581637 A GB2581637 A GB 2581637A
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GB
United Kingdom
Prior art keywords
conduit
anomaly
seam weld
dataset
weld corrosion
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
GB2005407.8A
Other versions
GB202005407D0 (en
Inventor
Andrew Jim
Simek James
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
TDW Delaware Inc
Original Assignee
TDW Delaware Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by TDW Delaware Inc filed Critical TDW Delaware Inc
Priority claimed from PCT/IB2018/057216 external-priority patent/WO2019058277A1/en
Publication of GB202005407D0 publication Critical patent/GB202005407D0/en
Publication of GB2581637A publication Critical patent/GB2581637A/en
Withdrawn legal-status Critical Current

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Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16L—PIPES; JOINTS OR FITTINGS FOR PIPES; SUPPORTS FOR PIPES, CABLES OR PROTECTIVE TUBING; MEANS FOR THERMAL INSULATION IN GENERAL
    • F16L55/00—Devices or appurtenances for use in, or in connection with, pipes or pipe systems
    • F16L55/26—Pigs or moles, i.e. devices movable in a pipe or conduit with or without self-contained propulsion means
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • 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
    • G01N27/87—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 probes
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16L—PIPES; JOINTS OR FITTINGS FOR PIPES; SUPPORTS FOR PIPES, CABLES OR PROTECTIVE TUBING; MEANS FOR THERMAL INSULATION IN GENERAL
    • F16L2101/00—Uses or applications of pigs or moles
    • F16L2101/30—Inspecting, measuring or testing
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16L—PIPES; JOINTS OR FITTINGS FOR PIPES; SUPPORTS FOR PIPES, CABLES OR PROTECTIVE TUBING; MEANS FOR THERMAL INSULATION IN GENERAL
    • F16L9/00—Rigid pipes
    • F16L9/17—Rigid pipes obtained by bending a sheet longitudinally and connecting the edges

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  • Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Electrochemistry (AREA)
  • Combustion & Propulsion (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Mechanical Engineering (AREA)
  • Investigating Or Analyzing Materials By The Use Of Magnetic Means (AREA)

Abstract

Embodiments related to a system and method for detecting and remediating selective seam weld corrosion in conduits such as steel pipes that transport oil and gas products. In particular, a probe detects magnetic flux leakage in at least two orientations. Anomalies in the conduit are then identified and assessed for selective seam weld corrosion based on factors that include the magnetic flux leakage detection and the depth of the anomalies. For certain categories of assessed anomalies, the corresponding portions of the conduit are selectively remediated in accordance with these factors.

Claims (20)

Claims
1. A method for detecting selective seam weld corrosion in a conduit, comprising, receiving a dataset, the dataset containing information obtained from a probe traversing at least a segment of the interior of the conduit and detecting at least one of an electromagnetic, magnetic and sound-related occurrence from an area of the conduit in proximity to a conduit seam; identifying, from the dataset, a portion of the conduit containing an anomaly; analyzing the anomaly to determine the presence of selective seam weld corrosion by at least one of: a) comparing the dataset with a reference dataset containing data indicative of selective seam weld corrosion, and b) determining whether aspects of the dataset are within parameters indicative of selective seam weld corrosion; and generating an alert status corresponding to the anomaly, wherein the alert status is indicative of potential selective seam weld corrosion within the portion of the conduit and is determined by results from the step of analyzing.
2. The method of claim 1, wherein the dataset obtained from the probe comprises axially-aligned magnetic flux leakage and spiral magnetic flux leakage information.
3. The method of claim 1, wherein the alert status is generated using a probability, as determined by step of analyzing, that the anomaly is selective seam weld corrosion
4. The method of claim 3, wherein the anomaly in the portion of the conduit is identified, by the alert status, as having a high likelihood of being selective seam weld corrosion when the probability is greater than 70%.
5. The method of claim 4, further comprising receiving a warning signal to promptly remediate a section of the conduit where the anomaly having an especially high likelihood of selective seam weld corrosion is identified.
6. The method of claim 3, wherein the alert status is generated using a depth measurement of the anomaly.
7. The method of claim 6, wherein the alert status is generated by multiplying the probability by the depth measurement of the anomaly.
8. The method of claim 6, further comprising: a) identifying a plurality of portions of the conduit containing an anomaly where the probability of the anomaly being selective seam weld corrosion is less than or equal to a predetermined percentage, b) ranking each anomaly in the plurality of the portions according to factors including the probability of containing selective seam weld corrosion and the depth measurement, and c) in an order of said ranking, externally examining a section of the conduit corresponding to each of the plurality of portions until a predetermined number of consecutively examined sections are determined, from the external examination, to lack selective seam weld corrosion.
9. The method of claim 8, wherein the predetermined percentage is between 65% and 75%.
10. A system for detecting selective seam weld corrosion in a conduit, comprising, a probe, the probe constructed to traverse at least a segment of the interior of the conduit and comprising sensors capable of detecting magnetic flux leakage in at least a first and second orientation in proximity to a conduit seam of the conduit; a probe processor, the probe processor creating at least one dataset, the at least one dataset based on detection of magnetic flux leakage in the first and second orientation; one or more predictor processors in communication with one or more memory devices, the one or more memory devices containing computer-readable instructions that, when executed by the one or more predictor processors, can operate to: receive the dataset; identify, from the dataset, a portion of the conduit containing an anomaly; analyze the anomaly to determine the presence of selective seam weld corrosion by operating to: a) compare the dataset with a reference dataset containing data indicative of selective seam weld corrosion, and b) determine whether aspects of the dataset are within parameters indicative of selective seam weld corrosion; and generate an alert status corresponding to the anomaly, wherein the alert status is indicative of potential selective seam weld corrosion within the portion of the conduit and is determined by results from the step of analyzing.
11. The system of claim 10, wherein the probe processor creates at least a first and second dataset, the first dataset based on detection of magnetic flux leakage in the first orientation and the second dataset based on detection of magnetic flux leakage in the second orientation.
12. The system of claim 10, wherein the dataset obtained from the probe comprises axially-aligned magnetic flux leakage and spiral magnetic flux leakage information.
13. The system of claim 10, wherein the alert status is generated using a probability that the anomaly is selective seam weld corrosion
14. The system of claim 13, wherein the anomaly in the portion of the conduit is identified, by the alert status, as having a high likelihood of being selective seam weld corrosion when the probability is greater than 70%.
15. The system of claim 14, further comprising receiving a warning signal to promptly remediate a section of the conduit where the anomaly having an especially high likelihood of selective seam weld corrosion is identified.
16. The system of claim 13, wherein the alert status is generated using a depth measurement of the anomaly.
17. The system of claim 16, wherein the alert status is generated by multiplying the probability by the depth measurement of the anomaly.
18. The system of claim 16, further comprising computer-readable instructions that operate to: a) identify a plurality of portions of the conduit containing an anomaly where the probability of the anomaly being selective seam weld corrosion is less than or equal to a predetermined percentage, b) rank each anomaly in the plurality of the portions according to factors including the probability of containing selective seam weld corrosion and the depth measurement, and c) in an order of said ranking, determine which section of the conduit to continue to externally examine corresponding to each of the plurality of portions until a predetermined number of consecutively examined sections are determined, from the external examination, to lack selective seam weld corrosion.
19. The method of claim 18, wherein the predetermined percentage is between 65% and 75%.
20. A system for detecting selective seam weld corrosion in a conduit, comprising one or more predictor processors in communication with one or more memory devices, the one or more memory devices containing computer-readable instructions that, when executed by the one or more predictor processors, can operate to: receive at least one dataset, the at least one dataset containing information obtained from a probe traversing at least a segment of the interior of the conduit and detecting magnetic flux leakage in at least two different orientations relative to and in proximity to a conduit seam of the conduit; identify, from the dataset, a portion of the conduit containing an anomaly; analyze the anomaly to determine the presence of selective seam weld corrosion by operating to: a) compare the dataset with a reference dataset containing data indicative of selective seam weld corrosion, and b) determine whether aspects of the dataset are within parameters indicative of selective seam weld corrosion; and generate an alert status corresponding to the anomaly, wherein the alert status is indicative of potential selective seam weld corrosion within the portion of the conduit and is determined by results from the step of analyzing.
GB2005407.8A 2017-09-22 2018-09-19 System and method for detecting and remediating selective seam weld corrossion in a conduit Withdrawn GB2581637A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201762562067P 2017-09-22 2017-09-22
PCT/IB2018/057216 WO2019058277A1 (en) 2017-09-22 2018-09-19 System and method for detecting and remediating selective seam weld corrosion in a conduit

Publications (2)

Publication Number Publication Date
GB202005407D0 GB202005407D0 (en) 2020-05-27
GB2581637A true GB2581637A (en) 2020-08-26

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GB2005407.8A Withdrawn GB2581637A (en) 2017-09-22 2018-09-19 System and method for detecting and remediating selective seam weld corrossion in a conduit

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140088889A1 (en) * 2012-09-27 2014-03-27 Kinder Morgan, Inc. System, method and computer medium having computer program to determine presence of stress corrosion cracking in pipelines with pattern recognition
US20140294285A1 (en) * 2007-12-21 2014-10-02 Kinder Morgan, Inc. Method, machine, and computer medium having computer program to detect and evaluate structural anomalies in circumferentially welded pipelines

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140294285A1 (en) * 2007-12-21 2014-10-02 Kinder Morgan, Inc. Method, machine, and computer medium having computer program to detect and evaluate structural anomalies in circumferentially welded pipelines
US20140088889A1 (en) * 2012-09-27 2014-03-27 Kinder Morgan, Inc. System, method and computer medium having computer program to determine presence of stress corrosion cracking in pipelines with pattern recognition

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
Chuck Harris: "Overcoming missing or incomplete pipeline data inn ageing assets: ILI and NDE techniques combine to provide traceable, verifiable, and complete records", Ageing Pipelines conference, Andromeda Hotel, Ostend, Belgium 7-9 October, 2015, 9 October 2015 (2015-10-09), Retrieved from the in *
DR MIKE KIRKWOOD: "Overcoming limitations or currently in-line inspection technology by applying a new approach using SMFL", proceedings/th pipeline technology conference 2011: hannover, germany, 04- 05 april 2011, eitep, euro institute for information and technology transfer, DE, 1 JANUARY 2001 (2, *
Frank Niese: "EMUS-Wanddickensensor fur die pipeline-Inspektion mit integrierter Wirbelstrom-und Streuflussprufung",, 1 January 2010 (2010-01-01), Retrieved from the Internet: URL:http://publikationen.sulb.uni-saarland.de/bitstream/20.500.11880/22703/1/Dissertation_Niese_20100610.pdf *
Heiko Pries: "GMR-Sensoren fur die magnetishe Streufeld-Rissprufung",, 8 December 2014 (2014-12-08), Retrieved from the Internet: URL:https://d-nb.info/1082625817/34 [retrieved on 2019-01-14] the whole document *
J B Nestleroth: "CIRCUMFERENTIAL MFL IN-LINE INSPECTION FOR CRACKS IN PIPELINES", , 1 June 2003 (2003-06-01), DOI: 10.3390/s151229845 Retrieved from the Internet: URL:http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.7474&rep=rep1&type=pdf [retrieved on 2019-01-14} pages 7,13;figures 4,10 *

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Publication number Publication date
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COOA Change in applicant's name or ownership of the application

Owner name: TDW DELAWARE, INC

Free format text: FORMER OWNER: KPL SOUTH TEXAS LLC

WAP Application withdrawn, taken to be withdrawn or refused ** after publication under section 16(1)