Multi-temporal assessment of ground cover restoration and soil erosion risks along petroleum and gas pipelines in Azerbaijan using GIS and remote sensing

Bayramov, Emil; Buchroithner, Manfred; Bayramov, Rafael

doi:10.1007/s12665-015-5044-9

Cited by 12 publications

(1 citation statement)

References 29 publications

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“…Pipe line transportation is the cheapest and most reliable way to deliver oil and gas to consumers [ Each of the existing methods has its own advantages: from the simplicity of the questionnaire assessment [Eskander, 2018], due to expert perception of the state of the pipeline (Check-List, What-If methods), to the use of highprecision state sensors of various operation parameters of the facility with the automated making of appropriate corrections in the presence of deviations in work [Bayramov et al, 2016]. However, all these methods have one common drawback -the lack of a full-fledged ability to assess the specific proportion of accident factors of fundamentally different origin: anthropogenic [Zambrano et al, 2018a], natural [Zambrano et al, 2018b], structural, technological, etc.…”

Section: Introductionmentioning

confidence: 99%

Methodology for Assessing the Risks of Emergencies on the East Siberia - Pacific Ocean Oil and Gas Main Pipeline

V¹,

Tjprc²

2020

IJMPERD

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The object of the study was the main pipeline in East Siberia -Pacific Ocean. The main pipeline works in difficult conditions, therefore the assessment of the risks of accidents is absolutely necessary. The combined risk assessment method consisting of the Checklist expert evaluation and the Fault Tree was used in the article. The Fault Tree samplewas suggested for described case study. The standard Checklist questionnaire was revised and expanded from 10 to 50 questions, to get more accurate accidents' risk assessment. The scenario of pipeline depressurization frequencies was also considered. The actual emergencies and incidents registration form was proposed. The ranking of main pipeline sections by accident rate was carried out. The software for systematization risk assessment data and accurate accident predictions is planned to be created during further research.

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Section: Introductionmentioning

confidence: 99%