Collision failure risk analysis of falling object on subsea pipelines based on machine learning scheme

Jiang, Fengyuan; Dong, Sheng

doi:10.1016/j.engfailanal.2020.104601

Cited by 31 publications

(5 citation statements)

References 38 publications

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“…Comparing stochastic models with traditional models using MCS makes it possible to analyze the quality of processes and the impact on organizational systems [34]. As mentioned in [35], quantitative analysis models should be checked by addressing the factors related to the risk of failure and the sensitivity of the main variables.…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

Designing a process quality control framework using Monte Carlo simulation

Morán-Zabala,

Cogollo-Flórez

2023

DYNA

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Quality control seeks to collect and analyze large amounts of data to take appropriate corrective actions and ensure that products or services meet quality requirements. This study proposed a methodological framework to analyze the quality control process employing Monte Carlo simulation. The methodology consists of four steps: (i) Establishment of probability distributions, (ii) Construction of the mathematical model, (iii) Running the simulation, and (iv) Analysis of the results. The application of the methodological framework in a carbonated beverage production made it possible to ensure with 99% confidence that one of the most important quality characteristics of the product, the degrees Brix, varies in a range of ± 0.02. The results show the methodology allows to broadly map the process variables behavior and to make decisions on optimal levels for quality monitoring and control.

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Section: Monte Carlo Simulationmentioning

confidence: 99%

Designing a process quality control framework using Monte Carlo simulation

Morán-Zabala,

Cogollo-Flórez

2023

DYNA

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“…Meskipun penggunaan pipa sebagai sistem transportasi minyak dan gas lebih unggul daripada metode transportasi lainnya, tetapi risiko kerusakan pipa sangat membahayakan manusia dan lingkungan [3]. Sistem perpipaan lepas pantai jauh lebih mudah mengalami kegagalan karena lingkungan yang lebih parah daripada sistem perpipaan darat [4]. Dampak dari kegagalan ini akan menyebabkan hilangnya peluang produksi, dan kerugian akan semakin besar [5].…”

Section: Pendahuluanunclassified

Risk Assessment pada Jaringan Pipa Bawah Laut di PT. XYZ (Studi Kasus: 32” MGL-NGLB CILAMAYA)

Sinay,

Rosyid,

Zikra

2023

JTITS

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Penelitian ini bertujuan untuk melakukan identifikasi risiko penyebab kebocoran pada offshore pipeline 32" MGL-NGLB Cilamaya milik PT. XYZ pada segmen pipa yang terletak di dasar laut NGLB-Cilamaya-03. Berdasarkan data lapangan, daerah ini merupakan daerah yang tinggi akan risiko kebocoran. Adapun penelitian ini menggunakan metode Fault Tree Analysis (FTA) dan Failure Mode and Effects Analysis (FMEA). Berdasarkan analisis menggunakan fish bone didapatkan 29 risiko penyebab kebocoran Pipa Bawah Laut 32" MGL-NGLB Cilamaya milik PT. XYZ. Hasil dari fault tree analysist didapatkan bahwa probability untuk main event kebocoran pipa bawah laut karena factor external forces sebesar 0,176, dan untuk kebocoran pipa bawah laut karena faktor rupture sebesar 0,078. Probability of top event yaitu kebocoran pipa bawah laut sebesar 0,254. Dari hasil pemetaan risk ranking setiap risiko ke dalam matriks risiko, didapatkan 3 risiko yang masuk ke dalam kategori high risk, yaitu dragged anchor dengan risk ranking 16, Kegagalan external corrosion dengan risk ranking 16, dan peralatan maintenance yang buruk dengan risk ranking 16. Berdasarkan analisis risk reducing potensi bahaya dominan yang telah dilakukan. Peneliti menemukan bahwa mitigasi yang dilakukan dapat mengurangi tingkat risiko tinggi yang terjadi, dimana tingkat risiko dari ketiga risiko domininan turun menjadi 4 (low risk).

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“…Although the use of pipelines as an oil and gas transportation system is superior to other transportation methods, but the risk of pipeline damage is very dangerous for humans and the environment [3]. Offshore piping systems are much more likely to fail due to a more severe environment than onshore piping systems [4]. Failures that often occur in offshore piping systems are caused by external factors, namely failure from third parties or party-third failure [5].…”

Section: Introductionmentioning

confidence: 99%

Risk assessment on offshore pipes

Silvianita

Agustina

Hadiwidodo

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Pipelines are the most frequently failed parts of oil production installations. Therefore, the safety of underwater gas pipelines became a very concerned focus in this study. This study aims to assess the risk of the pipeline due to changes in the new ABC Port shipping line that have the potential to pose a risk of pipeline damage. This study conducted a risk assessment on pipes at PT. XYZ due to anchor dropping, anchor dragging, and sinking ships. Based on the risk assessment that has been carried out on all risks, it is found that the level of risk is in an acceptable area and in the ALARP zone (As Low as reasonably Practicable Risk). Based on the results of the analysis using Ansys structural software, the maximum value of equivalent stress that occurs in the pipe due to dropped anchor can be received is no more than 0.9 of the SMYS (Specified Minimum Yield Stress) value of 4.05E+08 Pa.

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Collision failure risk analysis of falling object on subsea pipelines based on machine learning scheme

Cited by 31 publications

References 38 publications

Designing a process quality control framework using Monte Carlo simulation

Designing a process quality control framework using Monte Carlo simulation

Risk Assessment pada Jaringan Pipa Bawah Laut di PT. XYZ (Studi Kasus: 32” MGL-NGLB CILAMAYA)

Risk assessment on offshore pipes

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