AMPP Store - Products tagged with 'ili'

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51317--9504-Validation of Corrosion Growth Rate Models

Product Number: 51317--9504-SG

ISBN: 9504 2017 CP

Author: Yan Ping Li

Publication Date: 2017

$20.00

Validation results of feature level and joint level CGR based on feature matching and signal matching. These results enable pipeline operators to establish defect repair schedules and re-inspection intervals with increased confidence.

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A Comprehensive Empirical Evaluation of Probabilistic Corrosion Growth Rate Models

Product Number: 51323-18883-SG

Author: Gabriel Langlois-Rahme, Mahmoud Ibrahim, Miaad Safari, Yanping Li, Chike Okoloekwe

Publication Date: 2023

$20.00

Traditional Corrosion Growth Rate (CGR) models used in the integrity assessment of corroded pipelines are deterministic. A common Magnetic Flux Leakage (MFL) inline inspection (ILI) tool performance specification on general corrosion anomaly depth is +/- 10% Wall Thickeness (WT) at 80% confidence which corresponds to a standard deviation of 7.81% WT. Probabilistic Corrosion Growth Rate (PCGR) models incorporate these large measurement uncertainties and provide more realistic reliability assessments

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A Pipeline Operator’s Experience With AC Induced Corrosion

Product Number: 51321-16518-SG

Author: Kyle Platt

Publication Date: 2021

$20.00

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Aggressive Stray Current Corrosion on an Onshore Crude Line

Product Number: 51323-19499-SG

Author: Yusuf A. Nasidi, Mohammed S. Hamaqi, Hassan A. Al Basri

Publication Date: 2023

$20.00

The company operates several thousands of kilometers of pipelines that transport oil and gas from the offshore and onshore fields. A Risk Based Inspection (RBI) approach is adopted to ensure the safe operation of the pipeline system in accordance with the design, company, and legal requirements.

During one of the many planned In-Line Inspection (ILI) programs undertaken to determine the integrity status of their pipelines, a 48" crude pipeline was reported to have significant external corrosion on one of its onshore sections with reported metal loss of up to 93% of its nominal wall thickness.

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Corrosion Management Review of Sour Gas Pipeline – A Case Study

Product Number: 51323-18855-SG

Author: Muntathir M. Al-Jumaah, Faisal M. Al-Mutahhar, Muhammad A. Sherwani

Publication Date: 2023

$20.00

This paper reviews the corrosion management for a critical sour gas pipeline operated by Saudi Aramco. The 38-inch diameter pipeline transports untreated sour gas from Crude Processing Facility (CPF) to downstream Gas Plant and spans a total distance of 145 km. To prevent internal corrosion inside the pipeline, the wet sour gas is dehydrated using Tri-Ethylene Glycol (TEG) unit.

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Corrosion Under Insulation And Atmospheric Corrosion In The Refinery Industry. An Accurate Approach To Estimate Corrosion Growth Rates, A Texas Refinery Case Study

Product Number: 51322-17751-SG

Author: Bernardo Cuervo, Mark McQueen

Publication Date: 2022

$20.00

External corrosion in uninsulated pipelines is normally able to be prevented by cathodic protection (CP). Generally, external corrosion on buried pipelines cannot occur if CP current is getting onto the pipe. CP is an electrochemical means of corrosion control in which the oxidation reaction in a galvanic cell is concentrated at the anode and suppresses corrosion of the cathode (pipe) in the same cell. For instance, to make a pipeline a cathode, an anode is attached to it.

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Establishing Internal Corrosion Prediction Model and Inline Inspection (ILI) Correlation

Product Number: 51324-20703-SG

Author: Sankara Papavinasam

Publication Date: 2024

$40.00

There are several technical advantages and economic benefits of integrating inline inspection (ILI) findings and internal corrosion prediction models. ILI provides “what has happened” and model provides “why it has happened” and “how it will evolve in the future.” This approach has been demonstrated in oil transmission pipelines, condensate pipelines, dry gas pipelines, wet gas pipelines and multiphase pipelines. This paper (1) explains the benefits of integrating internal corrosion model and ILI; (2) reviews the historical development of internal corrosion models; (3) elaborates the status of correlation between inline inspection (ILI) data and internal corrosion model prediction; and (4) explains future challenges and opportunities.

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How Not to Do Machine Learning for Corrosion Prediction

Product Number: 51323-19310-SG

Author: Thomas Hayden, Joseph Mazzella, Len Krissa, Paul Murray

Publication Date: 2023

$20.00

The intention of this work is to pose epistemic questions about corrosion measurement, statistical inference, and the role of machine learning in predicting corrosion growth. The audience of this work is practitioners implementing inferential algorithms or tools for corrosion prediction. In this work, an algorithm consists of a process for estimating the presence and severity of corrosion.

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Internal Corrosion in Natural Gas Pipelines

Product Number: 51323-19507-SG

Author: Christopher A. Walker

Publication Date: 2023

$20.00

Corrosion is defined as the degradation of a material or its properties due to a reaction with the environment and is one of the most common pipeline integrity threats for operators. External corrosion may be visually inspected during excavation; however, due to accessibility, additional non-destructive examination (NDE) methods must be utilized to identify the presence and severity of internal corrosion.

Understanding the chemistry and electrical properties of how corrosion occurs aids in mitigating the presence of corrosion, specifically internal corrosion.

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Internal Corrosivity Assessment and Ranking of Crude Pipeline

Product Number: 51317--9225-SG

ISBN: 9225 2017 CP

Author: Abdul Razzaq Al-Shamari

Publication Date: 2017

$20.00

This paper will discuss the effectivity of ranking the crude pipelines due to their product corrosivity based on certain parameters such as corrosion coupons, cleaning pig deposit sampling analyses, microbial activity and previous ILI records.

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Investigating EMAT Dig Results for a Low Frequency ERW Seam Inspection

Product Number: 51317--9184-SG

ISBN: 9184 2017 CP

Author: Sean Moran

Publication Date: 2017

$20.00

This white paper analyzes the electromagnetic acoustic transducer (EMAT) tool performance and when combined with a multiple dataset platform, investigates the operator’s dig results from EMAT, and compares multiple inline inspection technologies used for a comprehensive seam assessment.

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Modeling and Prediction of Pipeline External Corrosion

Product Number: 51324-20704-SG

Author: Naim Dakwar; Sankara Papavinasam; Abdullah Hammoud

Publication Date: 2024

$40.00

External corrosion (EC) is still the leading cause of oil and gas transmission pipeline incidences. The primary source for understanding external corrosion risk is one of the interrelated parameters: EC rate, remaining wall thickness, or percentage wall loss. They may be obtained from five (5) sources: laboratory data (CLab), field operating conditions (CField), field above ground surveys (Csurveys), inline inspection (CILI), and field below ground inspection (CFBGM). • Laboratory data (CLab) and field operating data (CField) are “leading indicators” of localized pitting corrosion rate. • Field above ground surveys (Csurveys) are “current indicators”. • ILI (CILI) and field below ground inspection (CFBGM) are “past indicators”. The paper compares leading indicators CLab and CField with present condition indicator (CAbove) and trailing indicators (CILI, and CFBGM) of two (2) Saudi Aramco pipelines. This paper describes the success of the approach, lessons learned, and future improvements. How this approach is superior to other methods of prediction such as machine learning and simulation has been explained and how using the 5-M methodology as the based can accelerate the development of other approaches (artificial intelligence (AI) and simulation) has been described.

Products tagged with 'ili'

Association for Materials Protection and Performance