Geometric Magnetic and Discriminator Sensor for Smart Pigs

2004 ◽  
Author(s):  
Vinicius de C. Lima ◽  
Jose´ A. P. da Silva ◽  
Jean Pierre von der Weid ◽  
Claudio Soligo Camerini ◽  
Carlos H. F. de Oliveira
Keyword(s):  
High Resolution ◽  
Magnetic Flux ◽  
Magnetic Flux Leakage ◽  
Metal Loss ◽  
Research Partnership ◽  
Technical Aspects ◽  
Pipeline Inspection ◽  
Catholic University ◽  
Laboratory Results ◽  
Flux Leakage

A result of a research partnership between Catholic University of Rio de Janeiro – PUC-Rio, PETROBRAS and PIPEWAY is presented: The development of an innovative sensor head for high resolution MFL Pigs, the GMD sensor, Geometric Magnetic and Discriminator. This head makes high resolution magnetic pipeline readings using the MFL - Magnetic Flux Leakage technique, with the addition of geometric readings and the outside/inside defects discriminations. This technique makes possible, with only one crown of GMD sensors, the caliper, metal loss and outside/inside discrimination pipeline inspection. Technical aspects of the development, e.g.: the construction details of the sensor, evaluation tests and laboratory results are also presented.

API 579 Level 3 Assessment of Dents Using High-Resolution ILI Data

2011 ◽  
Author(s):  
Chas Jandu ◽  
Mike Taylor ◽  
Suji Narikotte
Keyword(s):  
High Resolution ◽  
Magnetic Flux ◽  
Single Channel ◽  
Mechanical Damage ◽  
Magnetic Flux Leakage ◽  
Metal Loss ◽  
Operating Pressure ◽  
Data Set ◽  
Level 3 ◽  
Flux Leakage

In-line Inspection (ILI) surveys are periodically performed to determine the condition of the pipeline. Typical ILI surveys involve Magnetic Flux Leakage primarily to determine metal loss and simple single channel Calliper surveys to determine any signs of geometry imperfections. Additional surveys such as high-resolution multi-channel Calliper deformation tools are occasionally used to accurately record imperfections to enable a more accurate assessment of the integrity of the pipeline containing the imperfection. Such tools have had limited employment, and therefore little experience exists of using the data obtainable for the detailed assessment of defects. This paper presents a study of such a case. As part of an In-line Inspection (ILI) of an offshore pipeline, a high-resolution deformation survey recorded numerous dent anomalies which had potentially resulted from a single dragged anchor incident before the pipeline was trenched. This data set was correlated to Magnetic Flux Leakage inspection data to confirm external mechanical damage. Pipeline sections having anomalies that were either found close to girth welds, or had associated corrosion defects were automatically selected for repair. The remaining anomalies were assessed in order to determine their acceptability for the maximum allowable operating pressure using the approaches detailed in API-579. Due to the sharp nature of some of the dents, elastic-plastic finite element analyses (FEA) were performed using denting profiles generated from the calliper data of the ILI run. API-579 level 3 assessments were then carried out using the FEA results. This paper details the high-resolution deformation tool findings and the approach used in order to assess the fitness-for-purpose of the pipe with the recorded anomalies.

scholarly journals Pipeline Inspection and Rehabilitation Using Clock Spring®

2000 ◽  
Author(s):  
Patrick C. Porter ◽  
Jesse L. Mitchell
Keyword(s):  
High Resolution ◽  
Magnetic Flux ◽  
Systematic Approach ◽  
Advanced Technology ◽  
Magnetic Flux Leakage ◽  
Repair System ◽  
Pipeline Inspection ◽  
Efficient Planning ◽  
Effective Component ◽  
Flux Leakage

This paper reviews the Clock Spring® repair system showing how it works and how it can be an effective component of a pipeline integrity program. It also outlines a Pipeline Integrity Program that is effective for TEPPCO and can be helpful to pipeline operators in the development of other pipeline integrity programs. Using high-resolution magnetic flux leakage inspection tools and the Clock Spring® pipeline repair system, TEPPCO’s ten-year pipeline integrity program is ahead of schedule and significantly under budget. The use of advanced technology, combined with efficient planning, has yielded a unique systematic approach to pipeline integrity enhancement.

Comparison of In-Line Inspection Service Provider Magnetic Flux Leakage (MFL) Technology and Analytical Performance Based on Multiple Runs on Pipeline Segments

2012 ◽  
Author(s):  
Guy Desjardins ◽  
Randy Nickle ◽  
Darren Skibinsky ◽  
Joe Yip
Keyword(s):  
High Resolution ◽  
Magnetic Flux ◽  
Service Provider ◽  
Round Robin ◽  
Analytical Performance ◽  
Magnetic Flux Leakage ◽  
Metal Loss ◽  
Inspection Service ◽  
Flux Leakage

This paper presents the results of a comparison between three In-Line Inspection (ILI) vendor’s high resolution magnetic flux leakage (MFL) inspections. Between 2009 and 2011, Alliance Pipeline Ltd. (Alliance) commissioned the inspection of a number of pipeline segments, where each vendor inspected all segments. These inspections have enabled Alliance to conduct a round-robin comparison of the performance and capabilities of each of the vendor’s abilities to detect and size metal-loss anomalies.

Alternative magnetic flux leakage modalities for pipeline inspection

1996 ◽  
Vol 32 (3) ◽  
pp. 1581-1584 ◽  
Author(s):  
G. Katragadda ◽  
W. Lord ◽  
Y.S. Sun ◽  
S. Udpa ◽  
L. Udpa
Keyword(s):  
Magnetic Flux ◽  
Magnetic Flux Leakage ◽  
Pipeline Inspection ◽  
Flux Leakage

Determination Scheme for Accurate Defect Depth in Underground Pipeline Inspection by Using Magnetic Flux Leakage Sensors

2018 ◽  
Vol 54 (11) ◽  
pp. 1-5 ◽  
Author(s):  
Hui Min Kim ◽  
Chang Geun Heo ◽  
Sung Ho Cho ◽  
Gwan Soo Park
Keyword(s):  
Magnetic Flux ◽  
Magnetic Flux Leakage ◽  
Underground Pipeline ◽  
Defect Depth ◽  
Pipeline Inspection ◽  
Flux Leakage

scholarly journals Magnetic Flux Leakage and Principal Component Analysis for metal loss approximation in a pipeline

2015 ◽  
Vol 628 ◽  
pp. 012027 ◽  
Author(s):  
M Ruiz ◽  
L E Mujica ◽  
M Quintero ◽  
J Florez ◽  
S Quintero
Keyword(s):  
Principal Component Analysis ◽  
Magnetic Flux ◽  
Principal Component ◽  
Component Analysis ◽  
Magnetic Flux Leakage ◽  
Metal Loss ◽  
Flux Leakage

Machine Learning Techniques for the Analysis of Magnetic Flux Leakage Images in Pipeline Inspection

2009 ◽  
Vol 45 (8) ◽  
pp. 3073-3084 ◽  
Author(s):  
A. Khodayari-Rostamabad ◽  
J.P. Reilly ◽  
N.K. Nikolova ◽  
J.R. Hare ◽  
S. Pasha
Keyword(s):  
Machine Learning ◽  
Magnetic Flux ◽  
Magnetic Flux Leakage ◽  
Machine Learning Techniques ◽  
Pipeline Inspection ◽  
Learning Techniques ◽  
Flux Leakage

Management of Pipeline Dents and Mechanical Damage in Gas Pipelines

2006 ◽  
Author(s):  
David J. Warman ◽  
Dennis Johnston ◽  
John D. Mackenzie ◽  
Steve Rapp ◽  
Bob Travers
Keyword(s):  
High Resolution ◽  
Magnetic Flux ◽  
Mechanical Damage ◽  
Management Plan ◽  
Magnetic Flux Leakage ◽  
Pipeline System ◽  
Channel Geometry ◽  
Channel Deformation ◽  
Integrity Management ◽  
Flux Leakage

This paper describes an approach used by Duke Energy Gas Transmission (DEGT) to manage dents and mechanical damage as part of its overall Integrity Management Plan (IMP). The approach provides guidance in the process for evaluating deformation anomalies that are detected by high resolution magnetic flux leakage (HR-MFL) and multi-channel geometry in-line inspection tools, the process to determine which deformations will be selected for excavation, the process to conduct pipeline field excavations, assessments, and repairs for pipeline integrity purposes. This approach was developed, tested and fully implemented during pipeline integrity work over a two year program involving over 1,100 miles of HR-MFL and 900 miles of geometry in-line inspection. Integration of data from high resolution ILI tools (HR-MFL and multi-channel deformation tools) was used to identify and characterize dents and mechanical damage in the pipeline system. From subsequent field assessments and correlation with ILI results, the processes were refined and field procedures developed. The new guidance provided in the 2003 edition of ASME B31.8 was used as the governing assessment criteria.

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