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51314-3887-Enhancement of Internal Corrosion Threat Guidelines for Dry Natural Gas Pipelines

Picture for Enhancement of Internal Corrosion Threat Guidelines for Dry Natural Gas Pipelines
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Product Number: 51314-3887-SG
ISBN: 3887 2014 CP
Author: Xihua He
Publication Date: 2014
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$20.00
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Internal corrosion threat in dry natural gas pipelines is low because of the very low water content controlled under a tariff limit. However the threat may exist when liquid water is brought into the pipe by condensation hydrotesting or intrusion from lateral components. In an earlier project funded by Pipeline Research Council International (PRCI) probabilistic models and tools were developed to support guidelines to quantify the internal corrosion threat from condensation for a given dry natural gas pipeline operating conditions. The current project collected and analyzed more field data to enhance the probabilistic model especially in the conditions where the risk of internal corrosion is higher. The enhancement improved the practical tools and guidelines by attaining a confident prediction of the internal corrosion threat. With these tools an operator would be able to evaluate whether the current operation of its pipeline has an internal corrosion threat that is extremely unlikely or how to adjust the operating parameters to reduce the internal corrosion threat. The framework for predicting internal corrosion threat due to residual hydrotest water and condensate intrusion of liquid water from side branches also was enhanced and computational tools also were developed for field implementation.AcknowledgmentsThis work was sponsored by PRCI (Hans Deeb Administrative Representative). The technical lead by Laurie Perry of Southern California Gas Company is recognized. 
Internal corrosion threat in dry natural gas pipelines is low because of the very low water content controlled under a tariff limit. However the threat may exist when liquid water is brought into the pipe by condensation hydrotesting or intrusion from lateral components. In an earlier project funded by Pipeline Research Council International (PRCI) probabilistic models and tools were developed to support guidelines to quantify the internal corrosion threat from condensation for a given dry natural gas pipeline operating conditions. The current project collected and analyzed more field data to enhance the probabilistic model especially in the conditions where the risk of internal corrosion is higher. The enhancement improved the practical tools and guidelines by attaining a confident prediction of the internal corrosion threat. With these tools an operator would be able to evaluate whether the current operation of its pipeline has an internal corrosion threat that is extremely unlikely or how to adjust the operating parameters to reduce the internal corrosion threat. The framework for predicting internal corrosion threat due to residual hydrotest water and condensate intrusion of liquid water from side branches also was enhanced and computational tools also were developed for field implementation.AcknowledgmentsThis work was sponsored by PRCI (Hans Deeb Administrative Representative). The technical lead by Laurie Perry of Southern California Gas Company is recognized. 
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51316-7259-Validation of Internal Corrosion Threat Guidelines for Dry Natural Gas Pipelines

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ISBN: 7259 2016 CP
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This study collected and analyzed field data to validate the probabilistic model developed previously for predicting internal corrosion threats resulting from condensed water from nominally dry natural gas.
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51318-11300-Predicted and Actual Dig Outcome of Dry Gas Internal Corrosion Direct Assessment of Unpiggable Pipelines

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This paper illustrates how appropriate use of predictive flow models and pipeline inclination profiles, in conjunction with dew point analysis, improves the prediction of locations susceptible to internal corrosion.
Picture for Internal Corrosion Direct Assessment of a Dry Gas Pipeline Segment in China
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51314-3888-Internal Corrosion Direct Assessment of a Dry Gas Pipeline Segment in China

Product Number: 51314-3888-SG
ISBN: 3888 2014 CP
Author: Xihua He
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