HEALTH, SAFETY AND ENVIRONMENT (HSE) MANAGEMENT FOR FIELD DEVELOPMENT PROJECTS Course Length:   5 Days Course Dates:   June 8 – 12, 2020        go to link Course Venue:  Calgary, Alberta, Canada

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Soma 350 Mg Narcotic Course Description: This course deals with the fundamental HSE concepts and ways of putting in place effective HSE management systems.  Practical examples will be presented to assist participants in developing pertinent skill sets.


7cd08cfdd77ca0770ee240ae34aa12ed Who Should Attend?

follow site This course is designed for professional reservoir engineers, production engineers, facility engineers, asset managers

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see url enter What You Will Learn:

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  • Understand national/local HSE legislation and the roles of standards
  • Understand the different HSE management systems available
  • Design of an effective HSE management systems
  • Fundamentals of risk assessment and the role of safety regulations
  • The Principles and applications of safety life cycle for petroleum project management
  • How to use fault tree analysis to predict accident rates and failure rates
  • The meaning and implications of safety integrity levels (SILs)
  • The knowledge and skills to plan, implement and evaluate stages of a range of HSE management systems
  • How to apply latest knowledge of HSE management systems and best practices into organizational business decisions and operations
  • Assess the role of HSE management systems in the success of a maintenance plan

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  • Overview of the oil and gas exploration and production process
  • Overview of HSE programs and management systems
  • Overview of HSE regulations and issues
  • Safety life cycle models
  • Risk assessment and management processes
  • Hazard identification and risk management techniques
  • Application software for risk and safety management
  • Fundamentals of alarm management and their implementation
  • Properties and effects of wastes
  • Waste treatment and disposal methods
  • HSE management systems and their implementation
  • Fundamentals of reliability analysis
  • Best practices