DOWNLOAD EXCEL QM VERSION 5.2 FOR MAC FULL
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â€¢ Strength and limitations of corrosion growth rate models/ ILI tools are discussed. â€¢ Common In-Line Inspection ( ILI) tools and corrosion growth rate models are introduced. Highlights: â€¢ Different forms of pipeline corrosion are explained. This paper could be useful for those whom are supporting pipeline integrity management and planning. Strengths and limitations of ILI detection tools, and also corrosion predictive models with some practical examples are discussed. The corrosion growth rate models considered in this study are single-value corrosion rate model, linear corrosion growth rate model, non-linear corrosion growth rate model, Monte-Carlo method, Markov model, TD-GEVD, TI-GEVD model, Gamma Process, and BMWD model. The ILI corrosion detection tools assessed in this study are Magnetic Flux Leakage (MFL), Circumferential MFL, Tri-axial MFL, and Ultrasonic Wall Measurement (UT). The common forms of pipeline corrosion introduced in this paper are Uniform/General Corrosion, Pitting Corrosion, Cavitation and Erosion Corrosion, Stray Current Corrosion, Micro-Bacterial Influenced Corrosion (MIC). In this paper common forms of pipeline corrosion, state of the art ILI tools, and also corrosion growth rate models are reviewed. For pipeline integrity management and planning selecting the proper corrosion ILI tool and also corrosion growth rate model is important and can lead to significant savings and safer pipe operation. While corrosion could be detected by in-line inspection ( ILI) tools, corrosion growth rate prediction in pipelines is usually done through corrosion rate models. Pipelines are the very important energy transmission systems. International Nuclear Information System (INIS)

(author)Ī review on pipeline corrosion, in-line inspection ( ILI), and corrosion growth rate models Some assessments of the actual reliability of pipelines with defects are given.

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Case studies are presented which demonstrate the application of the FSA method to the results of ILI and verification measurements on pipelines that are located on three continents. The consequences of defect data adjustment as related to pipeline reliability and POF and possible litigation issues are discussed.

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A comparison is performed between adjustment and the full statistical analysis (FSA), as applied to raw ILI and verification data. The root causes of data adjustments are discussed, main types of adjustments are classified and the consequences as related to pipeline residual life, reliability and safety are described.

The paper describes the implications and inferences that inevitably arise when deliberate 'adjustments' of raw MFL ILI data are made when delivering the final report on conducted ILI and/or performing defect sizing and reliability assessments needed for pipeline integrity management plans (IMPs). Sciences and Engineering Center ' Reliability and Safety of Large Systems and Machines' [Russian Academy of Sciences, Ekaterinburg (Russian Federation). Statistical implications of adjustments of raw ILI (In-Line Inspection) dataĮnergy Technology Data Exchange (ETDEWEB) The basic idea is to use the frequencies of queries in web search logs that are correlated with past ILI activity as features when estimating current ILI activity. Inuenza-like illness ( ILI) estimation from web search data is an important web analytics task. Hansen, Niels Dalum MÃ¸lbak, KÃ¥re Cox, Ingemar Johansson

Seasonal Web Search Query Selection for Influenza-Like Illness ( ILI) Estimation

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