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99535 INSPECTION DATA MANAGEMENT CHALLENGE AND BASIS OF EFFICIENT RISK MANAGEMENT

Picture for 99535 INSPECTION DATA MANAGEMENT CHALLENGE
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Product Number: 51300-99535-SG
ISBN: 99535 1999 CP
Author: Klaus Germerdonk, Timothy Marston, Andreas Pfanger
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New generation inspection tools are able to accurately detect and size every anomaly which may cause a risk for the safe operation of the pipeline. Pipetronix’ experience is that many pipeline inspections with intelligent tools reveal a vast number of anomalies, especially in older pipelines. In many cases, only a few of these are actually serious and affect the integrity of the pipeline at the moment. Immediate remedial action is generally focused on the limited number of most severe defects. Consecutive inline inspections allow an indication of any corrosion growth along the pipeline. The corrosion rate can be predicted depending on the detecting and sizing capabilities of the respective inspection tool. The results can be used to calculate the predicted remaining wall thickness or defect depth along the line for a given period of time. Defect assessment criteria are applicable to the predicted defect geometry. Very often, defect geometry information from consecutive inspections are not available for all defects. The reasons for that may be different reporting levels, limited number of reported defects, problematic inspection data or defects close to or below the specification limits of the respective tool, especially if data are collected from different inspection tool types. Furthermore, new corrosion defects may have been initiated in between the consecutive inspections. All these effects have to be dealt with in the data analysis procedure applied. In order to utilize the intelligent tool information as a basis for a risk management system, an appropriate tool which allows to handle the full amount of data and to integrate this with other relevant data is required. Pipetronix will present an inspection data management tool, with modules for defect monitoring and corrosion prediction. Other modules for GIS-integraticm, external inspection results, cathodic protection readings etc. will also be highlighted.
New generation inspection tools are able to accurately detect and size every anomaly which may cause a risk for the safe operation of the pipeline. Pipetronix’ experience is that many pipeline inspections with intelligent tools reveal a vast number of anomalies, especially in older pipelines. In many cases, only a few of these are actually serious and affect the integrity of the pipeline at the moment. Immediate remedial action is generally focused on the limited number of most severe defects. Consecutive inline inspections allow an indication of any corrosion growth along the pipeline. The corrosion rate can be predicted depending on the detecting and sizing capabilities of the respective inspection tool. The results can be used to calculate the predicted remaining wall thickness or defect depth along the line for a given period of time. Defect assessment criteria are applicable to the predicted defect geometry. Very often, defect geometry information from consecutive inspections are not available for all defects. The reasons for that may be different reporting levels, limited number of reported defects, problematic inspection data or defects close to or below the specification limits of the respective tool, especially if data are collected from different inspection tool types. Furthermore, new corrosion defects may have been initiated in between the consecutive inspections. All these effects have to be dealt with in the data analysis procedure applied. In order to utilize the intelligent tool information as a basis for a risk management system, an appropriate tool which allows to handle the full amount of data and to integrate this with other relevant data is required. Pipetronix will present an inspection data management tool, with modules for defect monitoring and corrosion prediction. Other modules for GIS-integraticm, external inspection results, cathodic protection readings etc. will also be highlighted.
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