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The use of RoMat PGS ILI technology and Pipeline DNA process to determine the populations of undocumented pipeline sections

By: Description: 9 pDDC classification:
  • PD I116 4 0015588
Online resources: Summary: PHMSA advisory bulletins and proposed rule-making has focused on producing and establishing appropriate documentation on pipeline materials to justify maximum allowable operating pressure (MAOP). In-line inspection (ILI) can support the documentation and data integration process and therefore meet multiple integrity and regulatory requirements. This can be achieved by extracting additional value from existing data and utilizing new technologies. ILI is traditionally used to detect, identify, and size pipeline anomalies. However, ILI technologies can also be used to satisfy the industry's need to verify and complete pipeline-property documentation as well as the "data gathering and integration" requirements specified in CFR §192.917 (d). Inappropriate pipeline-property and material documentation may be considered a derivative of the construction and manufacturing threat, and - as in the case of external corrosion - ILI can be used for integrity assessment. This paper describes how recent developments in ILI technology provide state-of-the-art sensor technology and data analytics to establish an as-built pipeline record that is reliable, verifiable, traceable, and complete. ROSEN has developed a solution to define pipe properties based on data from the RoMat PGS ILI service in combination with existing documentation and historical pipe manufacturing data, to characterize the pipe properties. The RoMat PGS service can be deployed in combination with other ILI services. This solution provides the Operator with a characteristic "DNA"that is used to describe the types of pipe within any given pipeline. This solution has two key benefits; the first and most transparent benefit is the non-destructive determination of essential pipe properties: wall thickness, outer diameter, and now the yield strength and ultimate tensile strength for each joint. This in itself addresses a significant part of ongoing PHMSA initiatives and can be used to identify potential integrity concerns such as pipe with strength values below that expected and other outliers. The second benefit is the ability to accurately identify the pipe populations based on a wide range of attributes, including length, wall thickness, etc. This allows the operator to target specific excavation locations in order to ensure that a) the pipeline is robustly characterized and b) the number of excavations required may be reduced by using a smart approach to determining excavation locations. This analytical approach by ROSEN is called Pipeline DNA. The aim of this paper is to present the ROSEN RoMat PGS ILI service and Pipeline DNA assessment process. It will also discuss how the process is applied in ongoing integrity assessment plans in response to the recently published DOT NPRM publication. The Pipeline DNA process will be illustrated using a collection of the ILI data and a presentation of the data on the basis of a worked-example demonstration
Item type: Congresos (trabajos presentados)
Holdings
Current library Call number Status Barcode
IAPG-Colección PD I116 4 0015588 (Browse shelf(Opens below)) Not for loan 200062769

PHMSA advisory bulletins and proposed rule-making has focused on producing and establishing appropriate documentation on pipeline materials to justify maximum allowable operating pressure (MAOP). In-line inspection (ILI) can support the documentation and data integration process and therefore meet multiple integrity and regulatory requirements. This can be achieved by extracting additional value from existing data and utilizing new technologies. ILI is traditionally used to detect, identify, and size pipeline anomalies. However, ILI technologies can also be used to satisfy the industry's need to verify and complete pipeline-property documentation as well as the "data gathering and integration" requirements specified in CFR §192.917 (d). Inappropriate pipeline-property and material documentation may be considered a derivative of the construction and manufacturing threat, and - as in the case of external corrosion - ILI can be used for integrity assessment. This paper describes how recent developments in ILI technology provide state-of-the-art sensor technology and data analytics to establish an as-built pipeline record that is reliable, verifiable, traceable, and complete. ROSEN has developed a solution to define pipe properties based on data from the RoMat PGS ILI service in combination with existing documentation and historical pipe manufacturing data, to characterize the pipe properties. The RoMat PGS service can be deployed in combination with other ILI services. This solution provides the Operator with a characteristic "DNA"that is used to describe the types of pipe within any given pipeline. This solution has two key benefits; the first and most transparent benefit is the non-destructive determination of essential pipe properties: wall thickness, outer diameter, and now the yield strength and ultimate tensile strength for each joint. This in itself addresses a significant part of ongoing PHMSA initiatives and can be used to identify potential integrity concerns such as pipe with strength values below that expected and other outliers. The second benefit is the ability to accurately identify the pipe populations based on a wide range of attributes, including length, wall thickness, etc. This allows the operator to target specific excavation locations in order to ensure that a) the pipeline is robustly characterized and b) the number of excavations required may be reduced by using a smart approach to determining excavation locations. This analytical approach by ROSEN is called Pipeline DNA. The aim of this paper is to present the ROSEN RoMat PGS ILI service and Pipeline DNA assessment process. It will also discuss how the process is applied in ongoing integrity assessment plans in response to the recently published DOT NPRM publication. The Pipeline DNA process will be illustrated using a collection of the ILI data and a presentation of the data on the basis of a worked-example demonstration



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