"offshore Accident Claims Process: Step-by-step Guidance From Maritime Law Attorneys"

"offshore Accident Claims Process: Step-by-step Guidance From Maritime Law Attorneys" - Workers' compensation claims can be an unfamiliar process with many parties and responsibilities involved. Here's an overview of what you can expect during the claims process.

If necessary, seek medical attention for your injuries, especially if they are severe. If you are unsure of the treatment you need, you can receive real-time medical guidance from our Travcare® nurse line as part of the claims reporting process with your employer.

"offshore Accident Claims Process: Step-by-step Guidance From Maritime Law Attorneys"

Your employer is responsible for reporting your incident. Notify them of an injury or illness at your workplace as soon as you are able. Once reported, we may contact you to gather details about your incident or injury.

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During the claims process, it is important that you keep your medical appointments and communicate with your employer and claims professional so that they are aware of your recovery status.

During the claim process, you will need to fill forms. Some will be provided by your claims professional and others are available in the section below.

Additionally, virtual visits can help you stay in touch with your claims team. This option adds flexibility to your workers compensation experience, which can help you return to work in a medically appropriate time by ensuring secure and timely communication between you, your provider and your claims team.

My® for Injured Workers provides a secure, web-based tool to help you navigate the workers' compensation claim process.

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(Speech) Speaker 1: Unfortunately, you got hurt at work. But luckily for you, you have a convenient digital tool to help you with your worker's compensation claim. My for Injured Workers is the only place to be actively involved with your entire claim.

It is easy to register and simple to use. With just a few clicks, you can sign up for electronic payments, send direct messages to the claims team, receive and share documents related to your claim, and view payment history. Everything you need is right here so you can spend more time on the business of getting better.

If your medical provider releases you back to work, it is important to tell your employer and your medical or claims professional when your first day of return will be.

If you have been cleared to return to modified duties, your employer may be able to make adjustments for any restrictions as a result of your injury/illness or provide you with an alternate duty assignment. Air-force flow in proton exchange membrane fuel cells: calculation of fan-induced friction in the open-cathode groove with virtual roughness.

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By Usama Muhammad Niazi Usama Muhammad Niazi Skillet Preprints.org Google Scholar 1, 2, Mohammad Shakir Nassif Muhammad Shakir Nassif Skillet Preprints.org Google Scholar 1, 2, *, Masadi Muhammad Masadi Muhammad Skillet Preprints.org Google Scholar 2 and Faisal Khan Faisal Khan Skillet Preprints.org Google Scholar 3

Center for Risk, Integrity and Safety Engineering (C-Rise), Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, NL A1B 3X5, Canada

Received: 7 May 2020 / Modified: 31 May 2020 / Accepted: 3 June 2020 / Published: 11 June 2020

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(This article is related to the Special Issue Selected Papers of ICPER-2020 (7th International Conference on Output, Energy and Reliability))

The reliability of petroleum offshore platform systems affects human safety and well-being; Therefore, it should be considered in plant design and operation to determine its effect on human mortality risk. Methane vapor cloud explosion (VCE) in offshore platforms is considered to be one of the potentially fatal accidents that can be attributed to failure in plant safety systems. Traditional quantitative risk analysis (QRA) lacks in providing microlevel risk assessment studies and are unable to update risk as time passes. This study proposes a grid-based dynamic risk analysis framework to analyze the effect of VCE on the risk of human fatality in an offshore platform. Flame Acceleration Simulator (FLACS), which is a computational fluid dynamics (CFD) software, is used to model VCEs taking into account various air and leakage conditions. To estimate dynamic risk, Bayesian inference (BI) is used using accident sequence precursor (ASP) data. The proposed framework provides the advantage of facilitating microlevel risk analysis by using a grid-based approach and providing grid-by-grid risk mapping. Increasing wind speed (from 3 to 7 m/s) led to a maximum increase of 21% in the exposure values. Furthermore, the integration of BI with FLACS in a grid-based framework effectively estimates risk as a function of time and location; Dynamic risk analysis revealed a 68% increase in human mortality risk from year one to year five.

Offshore oil and gas processing facilities have been widely constructed, and their reliable operation is essential to nations' economies and to the provision of a sustainable supply of fuel. The most important aspect of offshore platform operation is the safety of the workers. Offshore platforms are equipped with a number of instruments and control systems that have operating procedures and safeguards to ensure optimum reliability. Process equipment deviations from normal working conditions, faults in safety system operation, and equipment corrosion make offshore facilities vulnerable to failures that can lead to accidents [1, 2]. Failures in the processing areas of offshore facilities mainly release hydrocarbons, which can lead to fires and explosions [3, 4, 5]. The severity of damage from explosions is greater because congested pipe/equipment configurations at offshore facilities significantly increase the magnitude of overpressure conditions [6].

There have been many accidents in the past that have resulted in human deaths. The Piper Alpha disaster (1988) resulted in 165 deaths [7] due to explosions caused by the release of hydrocarbons. According to Atherton and Gill [8] , a series of explosions occurred on the Petrobas P-36 platform (2001), resulting in 11 deaths. The BP Deepwater Horizon accident (2010) was caused by an explosion that not only claimed the lives of 11 people, but also caused over $61 billion in damage [9]. Important lessons were drawn from each fire and explosion accident, and safety design (such as blast walls, gas leak detection systems, deluge and sprinkler systems) and regulations (such as conducting detailed Quantitative Risk Analysis (QRA) studies) for prevention. has been improved. future accidents [10]. However, despite improvements in safety measures and designs, past accidents indicate that offshore facilities remain vulnerable to fire and explosion accidents.

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Quantitative Risk Analysis (QRA) is a structured method that can be used for an overall risk assessment of an offshore facility due to a vapor cloud explosion. The traditional QRA estimates the probability of major hazard accidents, but has the primary limitation of being static; It cannot capture changes in the estimate of the probability of accidents over time [11]. Recently, QRA methodology has moved rapidly in a dynamic direction to address risk issues that are changing due to variations in operating conditions or process environments, such as variations in pressure, geometry, humidity, equipment degradation, Or because of the beliefs of experts. Accidents, near misses, and incidents. The methodology also allows for continuous integration with accurate information regarding near misses and events and updates to the risk profile [12, 13]. Therefore, dynamic risk analysis is necessary to ensure continuous improvement of security measures [14]. The four major steps of QRA are hazard identification and ranking, accident probability estimation, consequence analysis and risk assessment and representation [15].

Traditional QRA cannot update the probability of different accident scenarios [16, 17, 18]. This limitation was cited as one of the major causes of the Texas refinery disaster [19]. Early research on dynamic probability estimation of accidents adopted a Bayesian inference (BI) approach. In this approach, Accident Sequence Precursor (ASP) data is employed to update prior failure probabilities in the system using BI. Miles and Cedar [20] were the first to use the concept of ASP data with BI to update probability of accident scenario estimates for oil.

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