Balancing Pipeline Safety and Cost Integrity Management Through Performance Validation of In-Line Inspection Data

2010 ◽  
Author(s):  
Rick McNealy ◽  
Sergio Limon-Tapia ◽  
Richard Kania ◽  
Martin Fingerhut ◽  
Harvey Haines
Keyword(s):  
Failure Criteria ◽  
Actual Condition ◽  
Metal Loss ◽  
Integrity Management ◽  
Multiple Case ◽  
Multiple Case Studies ◽  
Inspection Data ◽  
Performance Validation ◽  
The Cost ◽  
Pipeline Safety

In-Line Inspection (ILI) surveys are widely employed to identify potential threats by capturing changes in pipe condition such as metal loss, caused by corrosion. The better the performance and interpretation of these survey data, the higher the reliability of being able to predict the actual condition of the pipe and required remediation. Each ILI survey has a certain level of conservatism from the assessment equations such as B31G and sensitivity to ILI performance for measurement uncertainty. Multiple levels of conservatism intended to limit the possibility of a non-conservative assessment can result in a significant economic penalty and excessive digs without improving safety. A study was undertaken to evaluate the reliability of responses to ILI corrosion features through multiple case studies examining the effects of failure criteria and data analysis parameters. This paper discusses the effect of validated ILI performance on safety, and addresses the risk of false acceptance of corrosion indications at a prescribed safety factor. The cost of unnecessary excavations due to falsely rejecting ILI predictions is also discussed.

A Hybrid Topside Structural Approach to the Management of Aging Fleet

2021 ◽  
Author(s):  
Biramarta Isnadi ◽  
Luong Ann Lee ◽  
Sok Mooi Ng ◽  
Ave Suhendra Suhaili ◽  
Quailid Rezza M Nasir ◽  
...  
Keyword(s):  
Structural Integrity ◽  
Metal Loss ◽  
Web Based ◽  
Strong Basis ◽  
Asset Risk ◽  
Risk Ranking ◽  
Design Life ◽  
Industry Standards ◽  
Integrity Management ◽  
Inspection Data

Abstract The objective of this paper is to demonstrate the best practices of Topside Structural Integrity Management for an aging fleet of more than 200 platforms with about 60% of which has exceeded the design life. PETRONAS as the operator, has established a Topside Structural Integrity Management (SIM) strategy to demonstrate fitness of the offshore topside structures through a hybrid philosophy of time-based inspection with risk-based maintenance, which is in compliance to API RP2SIM (2014) inspection requirements. This paper shares the data management, methodology, challenges and value creation of this strategy. The SIM process adopted in this work is in compliance with industry standards API RP2SIM, focusing on Data-Evaluation-Strategy-Program processes. The operator HSE Risk Matrix is adopted in risk ranking of the topside structures. The main elements considered in developing the risk ranking of the topside structures are the design and assessment compliance, inspection compliance and maintenance compliance. Effective methodology to register asset and inspection data capture was developed to expedite the readiness of Topside SIM for a large aging fleet. The Topside SIM is being codified in the operator web-based tool, Structural Integrity Compliance System (SICS). Identifying major hazards for topside structures were primarily achieved via data trending post implementation of Topside SIM. It was then concluded that metal loss as the major threat. Further study on effect of metal loss provides a strong basis to move from time-based maintenance towards risk-based maintenance. Risk ranking of the assets allow the operator to prioritize resources while managing the risk within ALARP level. Current technologies such as drone and mobile inspection tools are deployed to expedite inspection findings and reporting processes. The data from the mobile inspection tool is directly fed into the web based SICS to allow reclassification of asset risk and anomalies management.

Status of U.S. In-Line Inspection Standards

2004 ◽  
Author(s):  
Bryce Brown ◽  
David Culbertson ◽  
Bryan Melan ◽  
Jerry Rau ◽  
Bernie Selig ◽  
...  
Keyword(s):  
Department Of Transportation ◽  
Primary Method ◽  
Gas Pipelines ◽  
Inspection Systems ◽  
Integrity Management ◽  
Management Effort ◽  
Inspection Data ◽  
Pipeline Safety ◽  
The U.S

The U.S. gas and liquid pipeline industry and its regulators have been working to improve pipeline safety and integrity through a pipeline integrity management effort since 1999. The Office of Pipeline Safety of the U.S. Department of Transportation issued integrity management regulations for liquid pipelines in 2001 and issued similar regulations for gas pipelines at the end of 2003. The Office of Pipeline Safety (OPS), also issued regulations for Operator Qualification in 1999 requiring personnel that perform certain tasks to be qualified to perform those tasks. The Integrity Management Programs require extensive inspections of pipelines and the primary method for these inspections is of course In-Line Inspection (ILI). These inspections are critical to the safety and integrity of pipelines and the requriements are reflected in ASME B31.8S Integrity Management for Gas Pipelines. However, neither the inspection systems nor the personnel operating the systems and analyzing and reducing the data have to be qualified under existing standards or regulations. Industry and the Regulators agreed to embark on the development of consensus standards that would address the qualifications of both the ILI Systems and the ILI Personnel that run the systems and evaluate the inspection data. This paper describes the 3 standards that have been developed to obtain “qualified” In-Line Inspection results: API 1163: In-Line Inspection Systems Qualification; ASNT ILI-PQ-2003: In-Line Inspection Personnel Qualification; NACE RP0102-2002: Standard Recommended Practice, In-Line Inspection of Pipelines. The interrelationship of the 3 standards and how to utilize them will be discussed. (See figure 1). The latest changes to the standards and their acceptance by industry will also be described.

Enbridge Comparison of Crack Detection In-Line Inspection Tools

2002 ◽  
Author(s):  
Garrett H. Wilkie ◽  
Tanis J. Elm ◽  
Don L. Engen
Keyword(s):  
Power Systems ◽  
Elastic Wave ◽  
Crack Detection ◽  
Management Program ◽  
Metal Loss ◽  
Integrity Management ◽  
Magnetic Inspection ◽  
Extensive Program ◽  
Inspection Data ◽  
Geometry Inspection

Enbridge Pipelines Inc. operates the world’s longest and most complex liquids pipeline network. As part of Enbridge’s Integrity Management Program In-Line Inspections have been and will continue to be conducted on more than 15,000 km of pipeline. This extensive program is comprised of a mature metal loss and geometry inspection component as well as a crack inspection program utilizing the most sophisticated In-Line Inspection (ILI) tools available. Enbridge conducted its first ultrasonic crack inspection with the British Gas Elastic Wave Vehicle (Now GE Power Systems – Oil & Gas – PII Pipeline Solutions) in September 1993 on a Canadian portion of it’s 864–mm (34”) diameter line. The Elastic Wave Vehicle was also used for crack detection on additional segments of this same 864–mm (34”) diameter line during the following years, 1994, 1995 and 1996. Enbridge then conducted its first crack inspection with the Pipetronix UltraScan CD tool (Now also GE Power Systems – Oil & Gas – PII Pipeline Solutions) in November 1997 on a segment of this 864–mm (34”) diameter line that was previously inspected with the Elastic Wave Vehicle. The UltraScan CD tool was then utilized again in 1999, 2000 and 2001 completing crack inspection of the Canadian portion of this 864–mm (34”) diameter line. Enbridge conducted its first magnetic crack inspection with the PII TranScan (TFI) Circumferential Magnetic inspection tool in December 1998 on a United States portion of another 864–mm (34”) diameter line. This same section of line was subsequently inspected with the PII UltraScan CD tool in July 2001. This paper discusses the comparison of results from overlapping crack inspection data analysis from these three PII crack detection tools. Specifically, the overlap of the UltraScan CD and Elastic Wave Vehicle along with the overlap of the UltraScan CD and TranScan (TFI) tool. The relative performance of each crack detection tool will be explored and conclusions drawn.

Comparative Study Of Green Practices In Haryana State Universities

Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 1008-1016
Author(s):  
Priyanka ◽  
Ms Ipshita Bansal
Keyword(s):  
State Universities ◽  
Small Cities ◽  
Large Size ◽  
Green Practices ◽  
Size Population ◽  
Multiple Case ◽  
Multiple Case Studies ◽  
Direct And Indirect Impacts ◽  
Indirect Impacts ◽  
Complex Activities

Universities in the state are regarded as ‘small cities’ due to their large size, population, and the various complex activities taking place in campuses, which have some serious direct and indirect impacts on the environment. The current study focuses on the green practices in state universities of Haryana. The comparative analysis has been done between the multiple case studies and find out the best green practices being adopted in universities for moving towards making the green campus and recommend the area of improvement for making environment sustainable campus.

scholarly journals Competency-Industry Relatedness (C-IR) Framework for Sustained Business Growth in Startups during and beyond Pandemic: Myths and Lessons from Publicly Funded Innovative Startups

2021 ◽  
Vol 13 (9) ◽  
pp. 4632
Author(s):  
Varun Gupta ◽  
Luis Rubalcaba
Keyword(s):  
Case Studies ◽  
Business Environment ◽  
Learning Curves ◽  
The European Union ◽  
Business Growth ◽  
Product Lines ◽  
Business Decisions ◽  
Multiple Case ◽  
Multiple Case Studies ◽  
Industry Relatedness

Context: The coronavirus disease 2019 (COVID-19) pandemic led to a turbulent business environment, resulting in market uncertainties, frustrations, and rumors. Wrongly held beliefs—or myths—can hinder startups from turning new market opportunities into their favor (for example, by failing at diversification decisions) or undertaking wrong business decisions, e.g., diversifying in industries that have products of no real market value). Objectives: The objective of the paper is to identify the beliefs that drive the business decisions of startups in a pandemic and to isolate those beliefs that are merely myths. Further, this paper proposes strategic guidelines in the form of a framework to help startups make sound decisions that can lead to market success. Method: The two-step research method involved multiple case studies with five startups based in India, France, Italy, and Switzerland, to identify perceptual beliefs that drove strategic business decisions, followed by a case study of 36 COVID-19-solution focused startups, funded by the European Union (EU). The findings were validated through a survey that involved 102 entrepreneurs. The comparative analysis of two multiple case studies helped identify beliefs that were merely “myths”; myths that drove irrational strategic decisions, resulting in business failures. Results: The results indicate that startups make decisions in pandemic situations that are driven by seven myths, pertaining to human, intellectual, and financial resources. The decision on whether to diversify or continue in the same business operation can be divided into four strategic options of the Competency-Industry Relatedness (C-IR) framework: ignore, delay, phase-in, and diversify. Diversification in the same (or different industry) is less risky for startups if they have the skills, as needed, to diversify in related industries. Diversification in related industries helps startups leverage their experiences and learning curves (those associated with existing product lines) to adapt their existing products in new markets, or utilize their technologies to solve new problems via new products. The desired outcome for these startups should be sustainable business growth—to meet sustainability goals by contributing to the society and the economy. Conclusion: The C-IR framework is a strategic guide for startups to make business decisions based on internal factors, rather than myths. Accurately assessing skill diversity and the nature of new industries (or markets) will help startups leverage their existing resources optimally, without the need for (pricey) external funding. This will foster sustained business growth resulting in a nation economic development. Knowledge transfer from the Innovation ecosystem will further strengthen the C-IR framework effectiveness.

Service Oriented Architecture (SOA) Implementation

2018 ◽  
Vol 10 (2) ◽  
pp. 1-21 ◽  
Author(s):  
Tom Yoon ◽  
Bong-Keun Jeong
Keyword(s):  
Case Studies ◽  
Service Oriented Architecture ◽  
Successful Implementation ◽  
Business Units ◽  
Small Project ◽  
Service Oriented ◽  
Multiple Case ◽  
Multiple Case Studies ◽  
And Training

Using a multiple case studies and surveys, this article finds that factors essential to successful Service Oriented Architecture (SOA) implementations include establishing effective SOA governance, establishing SOA registries, starting with a small project, collaboration between business and IT units, strengthening trust among business units, and training. This article also explores business and IT motivations for SOA implementation and the benefits realized from this implementation. The findings from this article can provide a guidance for practitioners on the successful implementation of SOA.

Value co-creation in the B2B context: a diagnosis of knowledge management based on multiple case studies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Andrei Bonamigo ◽  
Camila Guimarães Frech ◽  
Ana Carolina Custódio Lopes
Keyword(s):  
Empirical Studies ◽  
Structured Interviews ◽  
Content Type ◽  
Knowledge Based ◽  
Multiple Case ◽  
Multiple Case Studies ◽  
Knowledge Asymmetry ◽  
Business To Business ◽  
Practical Implications

Purpose This study aims to empirically investigate how organizations delivering services in business-to-business relations deal with the boundary paradox and knowledge asymmetry in value co-creation. Design/methodology/approach This study adopted a qualitative multiple case study strategy. Datas were gathered through 13 semi-structured interviews that were then analyzed through the content analysis. Findings The authors identified three mechanisms that organizations use to deal with the boundary paradox and two strategies to handle the knowledge asymmetry. Research limitations/implications First, no opportunities were afforded to involve more participants. Second, owning to confidentiality reasons, not all organizations provided us documents to be analyzed. Practical implications The findings guide managers in balancing the use of contracts and trust in inter-firm collaborations and fostering the learning of customers. Also, insights to protect knowledge based on the paradox of openness in value co-creation. Originality/value This study’s findings address the gap in value co-creation literature concerning the lack of empirical studies.

Software Effort Estimation Using ISBSG Dataset: Multiple Case Studies

2021 ◽  
Author(s):  
Huseyin Unlu ◽  
Ali Gorkem Yalcin ◽  
Dilek Ozturk ◽  
Guliz Akkaya ◽  
Mert Kalecik ◽  
...  
Keyword(s):  
Case Studies ◽  
Effort Estimation ◽  
Software Effort Estimation ◽  
Multiple Case ◽  
Multiple Case Studies

Development of Pinhole Corrosion Management Using MFL

2018 ◽  
Author(s):  
Guy Desjardins ◽  
Joel Falk ◽  
Vitaly Vorontsov
Keyword(s):  
Magnetic Flux Leakage ◽  
Metal Loss ◽  
Physical Measurement ◽  
Reporting Accuracy ◽  
Magnetic Modeling ◽  
Number Of Factors ◽  
Modeling Software ◽  
Measurement Methodology ◽  
Integrity Management ◽  
Flux Leakage

While In-line Inspection Magnetic Flux Leakage (MFL) tools have been used for many years to successfully manage corrosion related threats, small pinhole-sized metal-loss anomalies remain a significant concern to pipeline operators. These anomalies can grow undetected to develop leaks and cause significant consequences. The physical dimensions of these anomalies, their proximity to and/or interaction with other nearby anomalies can challenge MFL’s detection and sizing capabilities. Other factors such as tool speed, cleanliness of the line and incorrect assumptions have an impact as well. For pipeline operators to develop effective and efficient mitigation programs and to estimate risks to an asset, the underlying uncertainties in detection and sizing of pinholes need to be well understood. By using magnetic modeling software, the MFL response of metal-loss anomalies can be determined, and the effect of a number of factors such as radial position, wall thickness, depth profile, pipe cleanliness and tool speed on MFL response and reporting accuracy can be determined. This paper investigates these factors to determine the leading causes of uncertainties involved in the detection and sizing of pinhole corrosion. The understanding of these uncertainties should lead to improvements in integrity management of pinhole for pipeline operators. This paper first investigates the physical measurement methodology of MFL tools to understand the limitations of MFL technology. Then, comparisons of actual MFL data with field excavation results were studied, to understand the limitations of specific MFL technologies. Finally, recommendations are made on how to better use and assess MFL results.

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