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Monday, August 3, 2020 | History

3 edition of Oil-spill risk analysis found in the catalog.

Oil-spill risk analysis

Walter Robertson Johnson

Oil-spill risk analysis

Beaufort Sea planning area, sales 186, 195, and 202

by Walter Robertson Johnson

  • 346 Want to read
  • 14 Currently reading

Published by U.S. Dept. of the Interior, Minerals Management Service, Environmental Division in [Herndon, Va.?] .
Written in English

    Subjects:
  • Oil pollution of water -- Beaufort Sea,
  • Oil spills -- Beaufort Sea

  • Edition Notes

    Other titlesBeaufort Sea planning area sales 186, 195, and 202., Beaufort Sea planning area.
    Statementby Walter R. Johnson, Cheryl M. Anderson, Charles F. Marshall ; Eileen M. Lear, editor.
    SeriesOCS report
    ContributionsAnderson, Cheryl M., Marshall, Charles F., Lear, Eileen M., United States. Minerals Management Service. Environmental Division.
    The Physical Object
    Paginationx, 128 p. :
    Number of Pages128
    ID Numbers
    Open LibraryOL17620414M
    OCLC/WorldCa53457825

    The fault tree analysis is applied to analyze the risk factors associated with oil spill, while the event tree analysis is used to analyze the consequences that might happen. The oil spill likelihood of oil tanker berthing and handling operation is obtained by combining the fuzzy set theory with expert evaluation. Updated with new chapters on risk analysis and communication, contingency planning, restoration, and case studies. Supported with technological advances evolved from the Deepwater Horizon/BP oil.

    Oil Spill Risk Analysis Model and Its Application to the Deepwater Horizon Oil Spill Using Historical Current and Wind Data Zhen‐Gang Z.‐G. Ji Bureau Of Ocean Energy Management, Regulation And Enforcement, U.S. Department Of The Interior, Herndon, Virginia, UsaCited by: 8. DOI: /ICSRS Corpus ID: Oil spill risk analysis of tanker berthing and handling operation based on fuzzy bow-tie model @article{WengangOilSR, title={Oil spill risk analysis of tanker berthing and handling operation based on fuzzy bow-tie model}, author={Cui Wengang and Fan Hou-ming and Yao Xi and Yang Yu and Ma Mengzhi}, .

    Six fundamental papers were chosen as examples of risk mapping methodologies. The report drafted by the Queensland Transport in association with the Great Barrier Reef Marine Park Authority (QT&GBRMA, ), hereafter A, was the first to implement a standard for an oil spill risk Risk of Vessel Accidents and Spills in the Aleutian Islands Cited by: This book bridges the gap between the many different disciplines used in applications of risk analysis to real world problems. Contributed by some of the world's leading experts, it creates a common information base and language for all risk analysis practitioners, risk managers, and decision le as both a reference for practitioners and a comprehensive textbook .


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Oil-spill risk analysis by Walter Robertson Johnson Download PDF EPUB FB2

Provides a scientific basis for the cleanup and for the assessment of oil spills Enables Non-scientific officers to understand the science they use on a daily basis Multi-disciplinary approach covering fields as diverse as biology, microbiology, chemistry, physics, oceanography and toxicology Covers the science of oil spills from Oil-spill risk analysis book analysis to cleanup and through the effects.

Provides a scientific basis for the cleanup and for the assessment of oil spills Enables Non-scientific officers to understand the science they use on a daily basis Multi-disciplinary approach covering fields as diverse as biology, microbiology, chemistry, physics, oceanography and toxicology Covers the science of oil spills from risk analysis to cleanup and through the effects on the environment Includes case studies examining and analyzing spills, such as Tasman Spirit oil Author: Merv Fingas.

The oil spill risk analysis model of the U. Geological Survey,Geological Survey Professional Paper, P Paperback – by Smith. et al. (Author) See all formats and editions Hide other formats and editions. Price New from Author: Smith.

et al. Risk is the probability that an event will occur multiplied by consequences of the event. Oil spill risk is a combination of the probability that a spill will occur and the consequences or impacts of that spill. Oil spills can have such different environmental and socioeconomic impacts based on the specific circumstances of each by: 3.

The oil spill in the Gulf of Mexico that followed the explosion of the exploration platform Deepwater Horizon on 20 April was the Oil-spill risk analysis book accidental oil spill so far. In this paper we evaluate the risk of such very severe oil spills based on global historical data from our Energy-Related Severe Accident Database (ENSAD) and investigate if an accident of this size Cited by: The identification and evaluation of oil spill risk is important for contingency planning, as well as for the decision-making processes inherent in spill risk management.

It needs to encompass both the probability of oil spills occurring under a number of types of circumstances, along with the potential consequences or impacts of the oil spillage. Enables Non-scientific officers to understand the science they use on a daily basis. Multi-disciplinary approach covering fields as diverse as biology, microbiology, chemistry, physics, oceanography and toxicology.

Covers the science of oil spills from risk analysis to cleanup and through the effects on the environment. Oil Spill Risk Analysis Model (OSRAM) Information to Be Used In Oil Spill Response Plans A Notice to Lessees, Operators, and Pipeline Right-Of-Way Holders (NTL) was effective on Aug (BSEE NTL N06) that provides additional guidance on the review and update of Oil Spill Response Plans (OSRP).

Per-gallon oil spill costs are inversely related to spill size. Regression formula used to estimate per-gallon cost. Oil type impacts all cost categories. Oil behavior varies by medium type. Potential impact depends on toxicity, mechanical injury potential, and persistence.

Oil type character and behavior integrated into oil type cost Size: KB. The Bureau assesses oil-spill risks associated with offshore energy activities off the U.S. continental coast and Alaska by calculating spill trajectories and contact probabilities.

These analyses address the likelihood of spill occurrences, the transport and fate of any spilled oil, and the environmental impacts that might occur as a result of the spill.

Risk Analysis: A Quantitative Guide is a comprehensive guide for eh risk analyst and decision maker. based on the author's extensive experience in solving real-world risk problems, this book is an invaluable aid to the risk analysis practitioner.

by providing the building blocks of risk-based thinking the author guides the reader through the steps necessary to produce a realistic risk Reviews: Preventing Oil Spills and Other Disasters by Risk Analysis of the Consequences and Probability of Failure: A Look at the BP Oil Spill in the Gulf Coast TASA ID: Risk assessment in the oil industry is a potentially useful tool to minimize failures, both equipment and human, and combines methods to quantify the costs of those failures with the probability of the failures.

Risk Analysis presents an accessible and concise guide to performing risk analysis, in a wide variety of field, with minimal prior knowledge required.

Forming an ideal companion volume to Aven's previous Wiley text Foundations of Risk Analysis, it provides clear recommendations and guidance in the planning, execution anduse of risk analysis.

While oil is a necessary risk in a complex society, recent and avoidable major oil releases have demonstrated that serious improvements in oil spill response.

Risk Analysis Calculator. The Alaska Oil Spill Risk Analysis Calculator is a tool to enable strategic planning for geographic locations based on environmental vulnerability, theoretical spill sizes, and spill probabilities. It is the first step in narrowing the focus on certain regions for certain spill types.

The Bureau of Ocean Energy Management produces oil-spill risk analyses (OSRAs) for proposed Outer Continental Shelf (OCS) oil and gas lease sales and developmental activities. These analyses estimate the potential oil-spill risks that may be associated with offshore activities that occur once leases are awarded.

In the context of oil spill risk assessment, it can be expressed as the combination of the probability that a particular spill event will occur and the.

Book Description Oil Spill Science and Technology, Second Edition, delivers a multi-contributed view on the entire chain of oil-spill related topics from oil properties and behaviors, to remote sensing through the management side of contingency planning and communicating oil spill risk perceptions.

the local level is an essential form of oil spill communications, in addition to traditional crisis communications, assuming an important goal going forward is to improve spill response by more quickly and effectively addressing people’s questions, perceptions, fears, and knowledge gaps about oil spill risks.

As with any kind of risk, oil spill risk assessment is inherently judgmental and no analytic method can eliminate the need for judgment. This paper compares representative examples of oil spill risk assessments with regard to decisions about data, variables, functional relations, and uncertainty.

The BP Gulf Oil Spill: A Risk Management Debacle. The BP Gulf oil spill is the worst risk management story, and the best risk management story. It is the best risk management case study: it illustrates vividly how a working risk management program could have (would have) prevented the debacle — not in a “hindsight” manner, but rather in a factual and clearly .We perform quantitative oil spill risk assessments using state-of-the art 3D oil spill modeling tools combined with up-to-date species and habitat distribution and sensitivity data.

Spill modelling can be preceded by blowout and kill studies, and well-specific assessments based on reservoir conditions, benchmarking analysis, statistical models.Request PDF | Risk of Large Oil Spills: A Statistical Analysis in the Aftermath of Deepwater Horizon | The oil spill in the Gulf of Mexico that followed the .