Electrical Engineering Fundamentals for Facilities Engineers
Course
In San Francisco (USA)
Description
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Type
Course
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Location
San francisco (USA)
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Start date
Different dates available
Decision Modeling: application of DA process for modeling; influence diagrams; free cash flow concept; sensitivity analysis; documentation and good modeling practices; real options overview; Monte Carlo Simulation: prospect risking (similar to play analysis); calculating probabilities and distributions with simulation; modeling and optimizing investment portfolios; valuing added control and flexibility; stopping rules; ways to model correlation; Decision Tree Analysis: value of information review; sensitivity analysis; solving with utility for risk aversion; Decision Policy: overview of finance theory related to PV discount rate and risk (CAPM and modern portfolio theory); shareholder value model; portfolio optimization to maximize economic value; efficient frontiers; multi-criteria decisions; risk policy as a utility function; calculating expected utility and certain equivalent; insurance and hedging; optimizing working interests; Implementation: presentation formats; model-centric enterprise model and balanced scorecard (dashboard) element focusing on shareholder value creation forecast
Facilities
Location
Start date
Start date
Reviews
Subjects
- IT risk
- Risk
- Simulation
- Cash Flow
- Options
- Play
- Finance
- Investment
- Insurance
- Presentation
- Engineering
- Electrical
Course programme
Decision Modeling: application of DA process for modeling; influence diagrams; free cash flow concept; sensitivity analysis; documentation and good modeling practices; real options overview; Monte Carlo Simulation: prospect risking (similar to play analysis); calculating probabilities and distributions with simulation; modeling and optimizing investment portfolios; valuing added control and flexibility; stopping rules; ways to model correlation; Decision Tree Analysis: value of information review; sensitivity analysis; solving with utility for risk aversion; Decision Policy: overview of finance theory related to PV discount rate and risk (CAPM and modern portfolio theory); shareholder value model; portfolio optimization to maximize economic value; efficient frontiers; multi-criteria decisions; risk policy as a utility function; calculating expected utility and certain equivalent; insurance and hedging; optimizing working interests; Implementation: presentation formats; model-centric enterprise model and balanced scorecard (dashboard) element focusing on shareholder value creation forecast
Reservoir containment evaluation; Caprock integrity assessment; SAGD and CSS in heavy oil reservoirs; Fundamentals of petroleum-related rock mechanics; Processes of data collection; Geomechanical characterization; Mechanical Earth Models (MEMs)
Decision Modeling: application of DA process for modeling; influence diagrams; free cash flow concept; sensitivity analysis; documentation and good modeling practices; real options overview; Monte Carlo Simulation: prospect risking (similar to play analysis); calculating probabilities and distributions with simulation; modeling and optimizing investment portfolios; valuing added control and flexibility; stopping rules; ways to model correlation; Decision Tree Analysis: value of information review; sensitivity analysis; solving with utility for risk aversion; Decision Policy: overview of finance theory related to PV discount rate and risk (CAPM and modern portfolio theory); shareholder value model; portfolio optimization to maximize economic value; efficient frontiers; multi-criteria decisions; risk policy as a utility function; calculating expected utility and certain equivalent; insurance and hedging; optimizing working interests; Implementation: presentation formats; model-centric enterprise model and balanced scorecard (dashboard) element focusing on shareholder value creation forecast
Reservoir containment evaluation; Caprock integrity assessment; SAGD and CSS in heavy oil reservoirs; Fundamentals of petroleum-related rock mechanics; Processes of data collection; Geomechanical characterization; Mechanical Earth Models (MEMs)
Additional information
Expenses
The course price depends on the selected location or venue.
In-house training
This course can also be delivered as in-house training for your team at your offices or at any convenient location. PetroSkills can provide you with a flexible and cost-effective solution for your staff training.
Electrical Engineering Fundamentals for Facilities Engineers
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