Optimal sectioning of hydrocarbon transport pipeline by volume minimization, environmental and social vulnerability assessment

Fontecha, John E.; Cano, Nancy A.; Velasco, Nubia; Muñoz, Felipe

doi:10.1016/j.jlp.2016.07.017

Cited by 7 publications

(1 citation statement)

References 16 publications

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“…In this paper, leak-prone segments were identified along the abscissa using the minimum MTTF for each of the pipeline sections regardless of their clock-position. Afterwards, the potential spill volume is estimated following the dynamic and static volumes reported in [45] assuming 5 minutes to stop the pipeline pumps given a LOC and using the nominal capacity of the pipeline. This information is then used to identify critical segments of the pipeline seeking to support a conservative intervention decision-making process, considering the minimum pipeline resistance and a possible replacement that withstand further corrosion depth-increments.…”

Section: Pipeline Integrity Assessmentmentioning

confidence: 99%

Modeling of pipeline corrosion degradation mechanism with a Lévy Process based on ILI (In-Line) inspections

Amaya-Gómez

Riascos-Ochoa

Muñoz

et al. 2019

International Journal of Pressure Vessels and Piping

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In pipelines, one of the primary testing procedures used to identify the e↵ects and evolution of corrosion over time is through In-Line Inspections (ILI). ILI inspections provide detailed information regarding the inner and outer pipeline condition based on the remaining wall thickness. Based on this information, di↵erent approaches have been proposed to predict the degradation extent of the defects detected. However, these predictions are subject of uncertainties due to the inspection tool and the degradation process that poses some challenges for assessing an entire pipeline within the timespan between two inspections. To address this problem, ILI data was used to formulate a degradation model for steel-pipe degradation based on a Mixed Lévy Process. The model combines a Gamma and Compound Poisson Processes aimed for a better description of the degradation reported by the ILI data. The model seeks to estimate corrosion lifetime distribution and the mean time to failure (MTTF) more accurately. The model was tested on an actual segment of an oil pipeline, and the results have been used to support a preventive maintenance program.

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Section: Pipeline Integrity Assessmentmentioning

confidence: 99%