Introduction to Risk Analysis Tools and Techniques (CS043A)


Introduction to Risk Analysis Tool and Techniques


Th
is e-learn course provides you with an awareness of the role of risk assessment, integrity management and the tools and techniques commonly used to conduct pipeline risk assessment (e.g. HAZOPS, FMEA and checklists)


This technical course has been authored by our industry expert and is designed to offer you with just-in-time knowledge related to pipeline integrity management. The courses can be studied as part of your learning journey, or used as a reference library.


Your course at a glance

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Course Availability

Available to access online 24/7

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Duration

Estimated 45 minutes

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Delivery

Study on-demand at your own pace

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Level

Awareness level

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Competency Standards

Satisfies the learning requirement for
Risk Analysis Tools and Techniques CS043A

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What you will get

Completion E-badge, plus informal
Continued Professional Development hours




What you will learn


This technical course has been split into two parts: Risk Analysis: an Introduction,  and Risk Assessment Methods.

During these sessions, you will gain insight into:

- Concepts of pipeline risk, including probability, hazards, failure scenarios and consequences
- Qualitative and quantitative methods for pipeline risk analysis
- Additional ways of presenting risk; e.g., individual and societal risk, risk matrix score, etc.
- Role of risk analysis results in pipeline risk management


Meet your Subject Matter Expert


Simon Slater

Ian Diggory

Ian Diggory is the Principal Consultant at ROSEN(UK). Over 40 years in the oil and gas industry, mainly working on risk models. Joined the industry as an acoustics consultant at British Gas’ Engineering Research Station, following 5 years research into environmental noise. Studied physics and mathematics at university, followed by postgraduate studies in nuclear structure and cosmic ray physics. Published papers on a range of topics from antiprotons in cosmic rays, to traffic noise through to machine learning.

  



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