Reliability Based Assessment of Deck Elevations for Offshore Jacket Platforms

Heredia‐Zavoni, Ernesto; Campos, Dante; Ramírez, G Maritza

doi:10.1115/1.1834622

Cited by 10 publications

(5 citation statements)

References 6 publications

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“…The main inputs to a robust design and effective maintenance program are the historical reliability data sets (Heredia-Zavoni et al , 2004). The scarcity of quantitative data is one of the primary problems for scientists to use qualitative research methods i.e.…”

Section: Literature Reviewmentioning

confidence: 99%

Maintenance scheduling of a cheddar cheese manufacturing plant based on RAM analysis

Tsarouhas

2021

IJPPM

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PurposeThe purpose of this research is to calculate and enhance the cheese cheddar manufacturing plant efficiency under actual workplace conditions by measuring reliability, availability and maintainability (RAM) indices. The authors highlight how RAM analysis is important in determining periodic maintenance and in scheduling and managing the appropriate maintenance policy.Design/methodology/approachThe current work is conducted using statistical approaches to evaluate failure and repair statistics. The RAM estimation was calculated on the basis of quantitative data obtained over a span of 32 months. Descriptive statistics, Pareto analysis, as well as the presumption of independence were ensured through trend and serial correlation tests. In addition, the reliability and maintainability of the cheddar cheese processing plant and its machines were calculated at various mission periods.FindingsThe primary goal of the implementation approach is to understand the fault patterns and the accurate quantitative assessment of the reliability and maintainability of the cheddar production plant. The findings revealed the essential aspects of the line, which need improvement by an appropriate maintenance program.Originality/valueThis study is intended to serve to highlight the RAM assessment and its impact on the performance of the real-time system. The benefit of the technique is the continual control of the manufacturing process by means of acceptable indexes, whose use corresponds to a continuous improvement process.

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Section: Literature Reviewmentioning

confidence: 99%

Maintenance scheduling of a cheddar cheese manufacturing plant based on RAM analysis

Tsarouhas

2021

IJPPM

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“…Botelho et al [3] calculated the failure probability of ST130 "A" platform in the Gulf of Mexicoduring Hurricane Andrew. Heredia-Zavoni et al [4] carried out a structural reliability assessment of deck elevations subjected to storm wave loading for fixed platforms in the Bay of Campeche. A good collection of recent developments in the structural reliability assessment of fixed offshore platforms can be found in Moan [5] and Onoufriou et al [6] However, to date limited work has been reported on the risk-based structure assessment method systematically or on the specific calculation and analysis process, so that it can be widely used and popularized.…”

Section: Sim Processmentioning

confidence: 99%

Risk-Based Inspection Analysis of Jacket Platform

Wang

Ren

et al. 2014

AMM

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Risk-based inspection analysis is a key part of structure integrity management (SIM) process for ensuring the fitness-for-purpose of offshore jacket platforms. For the platforms locates in the South China Sea which often suffer severe sea condition, it is essential to employ an appropriate assessment method to determine the structure strength and increase the platforms’ safety. This paper presents a comprehensive risk-based inspection method for in-service jacket platform structure. Nonlinear pushover analysis is used to carry out the ultimate bearing capacity and failure consequence of the structure, in which the platform ultimate bearing capacity is characterized in terms of the Reserve Strength Ratio (RSR) and Residual Capacity Ratio (RCR). Taking the four limit state equations of structure member and limit state judgment criteria of structure system into consideration, the structure reliability analysis is proposed with the combination of extreme probability model of environment loads. On this basis, a risk matrix will be formed and a risk-based inspection plan can be developed. A case study of jacket platform located in the South China Sea is used to illustrate the application of the structure assessment approach.

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“…Hence, it is necessary to design, build, and install systems with the highest possible level of reliability performance (adequate reliability) as well as to maintain the system with acceptable reliability performance during operation by carrying out proper maintenance activities. Historical reliability data (failure and repair data) are the fundamental inputs for a reliable design and effective maintenance program [2,3]. At present, in this stage of working in the Arctic region, due to little industrial activities, sufficient field reliability data of components are not available.…”

Section: Introduction 'mentioning

confidence: 99%

Reliability Analysis of Offshore Production Facilities Under Arctic Conditions Using Reliability Data From Other Areas

Barabadi

2014

Journal of Offshore Mechanics and Arctic Engineering

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The development of offshore energy resources involves highly complex and extensive technological processes. Reliability evaluation of offshore production facilities provides essential information in the design and operation phase. Historical reliability data play an important role in reliability analysis, and as such data reflect the effect of influencing factors that production facilities have experienced during their life cycle. Due to there being less offshore activity in the Arctic region compared with other areas, there is a lack of data and little experience available regarding operational equipment. In contrast to the Arctic region, oil and gas companies have a lot of experience and information related to the design and operation of offshore production facilities in the other parts of the world. Using this type of data and information, collected from similar systems but under different operational conditions, in design processes for the Arctic region may lead to incorrect design. This may increase health, safety, and environmental (HSE) risk or operating and maintenance costs. This paper develops a methodology for the application of the accelerated failure time model (AFT) to predict the reliability of equipment to be used in the Arctic region based on the available data. In the methodology used here, the available data is assumed to reflect the behavior of the equipment under low stress condi-tions, and using the AFT models the reliability of equipment in the Arctic environment, which represents high stress, is predicted. An illustrative example is used to demonstrate how the methodology can be applied in a real case. [DOI: 10.1115/1.4026240

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Reliability Based Assessment of Deck Elevations for Offshore Jacket Platforms

Cited by 10 publications

References 6 publications

Maintenance scheduling of a cheddar cheese manufacturing plant based on RAM analysis

Maintenance scheduling of a cheddar cheese manufacturing plant based on RAM analysis

Risk-Based Inspection Analysis of Jacket Platform

Reliability Analysis of Offshore Production Facilities Under Arctic Conditions Using Reliability Data From Other Areas

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