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10057 Field Survey Results of a Recent Developed CP Survey Set to Improve the ECDA Process

Picture for 10057 Field Survey Results of a Recent Developed CP Survey Set to Improve the ECDA Process
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Product Number: 51300-10057-SG
ISBN: 10057 2010 CP
Author: Martin de Wacht
Publication Date: 2010
$0.00
$20.00
$20.00
Gasunie applies the External Corrosion Direct Assessment (ECDA) methodology to ensure the integrity of its non-piggable pipelines. To have a structured methodology available, a Pipeline Integrity Management System (PIMS) is in operation. For the non-piggable pipelines an ECDA management software module has been developed which is in operation. Within the ECDA process the indirect inspections (surveys) were found to be one of the critical factors. With the objective to improve the productivity and reliability of the ECDA process as well as the workability for surveyors, KEMA developed a new survey set. During 2007 and 2008 initial test were carried out to demonstrate basic principles of improvements. Based on these results, it was decided to spend R&D efforts on developing a prototype CP survey set that had to be capable of including new survey methods in addition to existing methods.

From the third quarter of 2008 onwards, this prototype has been applied extensively under realistic practical conditions in which new methods have been compared with existing methods.

The results of workability for surveyors have improved, as well as the results of the survey methods, particularly in situations with:

• External interference by stray currents

• External interference by AC interference

• Pipelines with rather large depth of cover.

The productivity of surveys remained dependant on the number of defects and could not be improved significantly. However, as the survey set produces data which is ideally formatted for the ECDA management software module, the productivity of the entire process was significantly improved.

KEY WORDS: Close-interval potential survey, close-interval survey, CIPS, CIS, DCVG, external corrosion direct assessment, ECDA, indirect inspection, potential survey, cathodic protection survey, CP
Gasunie applies the External Corrosion Direct Assessment (ECDA) methodology to ensure the integrity of its non-piggable pipelines. To have a structured methodology available, a Pipeline Integrity Management System (PIMS) is in operation. For the non-piggable pipelines an ECDA management software module has been developed which is in operation. Within the ECDA process the indirect inspections (surveys) were found to be one of the critical factors. With the objective to improve the productivity and reliability of the ECDA process as well as the workability for surveyors, KEMA developed a new survey set. During 2007 and 2008 initial test were carried out to demonstrate basic principles of improvements. Based on these results, it was decided to spend R&D efforts on developing a prototype CP survey set that had to be capable of including new survey methods in addition to existing methods.

From the third quarter of 2008 onwards, this prototype has been applied extensively under realistic practical conditions in which new methods have been compared with existing methods.

The results of workability for surveyors have improved, as well as the results of the survey methods, particularly in situations with:

• External interference by stray currents

• External interference by AC interference

• Pipelines with rather large depth of cover.

The productivity of surveys remained dependant on the number of defects and could not be improved significantly. However, as the survey set produces data which is ideally formatted for the ECDA management software module, the productivity of the entire process was significantly improved.

KEY WORDS: Close-interval potential survey, close-interval survey, CIPS, CIS, DCVG, external corrosion direct assessment, ECDA, indirect inspection, potential survey, cathodic protection survey, CP
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The quality of indirect inspection data is critical in an External Corrosion Direct Assessment (ECDA).  The need exists to increase the accuracy of the field data collection, to improve the data processing and to effectively present the results. This paper describes several challenges.
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