This course will extend to the identification, assessment, and control of qualitative risks in the project-based enterprise. Uncertainty will be inherent in all projects and particularly in the aspects of technical, financial, schedule, legal, and quality (the latter includes safety, health, environment, and facility integrity) of performance. In addition, this course will explore quantitative risk analysis using the basics of probability.
Course Objectives of Project Management for Oil & Gas
Contribute to the preparation of a Project Execution Plan (Project Management Plan) based on an understanding of the Capital Value Process.
Understand Decision Support Packages and their contribution to Project Management performance.
Understand the technical and non-technical (e.g. financial) issues relating to gaining project approval and funding.
Recognise basic methods for defining and estimating activities.
Understand the basics of qualitative and quantitative risk assessment.
Appreciate risk mitigation, preliminary contingency levels, and critical variables.
Effectively integrate risk and earned value.
Project Management Terminology
Pros and Cons of various Delivery Systems
Success Factors, what to look for?
Build - Operate - Transfer (BOT), Functional Specifications, Issues and Concerns
Economic Evaluation
Project Finance
Project Phases and issues pertinent to each phase
Financial Evaluation Methods
Owner and Contractor cash Flow
Project Scope Development
The Work Breakdown Structure
Technologies for computer Project Estimating
Conceptual & Parametric Estimating
Lead/Lag Scheduling
Resource Allocation for construction projects
Time-Cost Tradeoff
Linear Scheduling Method
Technologies for computer Project Scheduling
Project Control Systems
Project Updating Methods
Earned Value Management
Team Development and Effective Teamwork
Developing effective negotiation strategies and tactics
Understanding your BATNA (Best Alternative To a Negotiated Agreement)
What to do when negotiations break down and how to respond to tricks
Building Information Modeling
Material Management
Lean Project Management
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