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Sessions
Dates Location Tuition Register
Apr 16 - Jul 13, 2018 Rueil 12,550 €
Online By email
Who should attend?

Audience

    • Recently hired professionals, preferably with an engineering background, about to take up a position in downstream petroleum activities.
    • Staff from other petroleum sectors (upstream, chemicals, etc.) taking up a downstream managerial position or from government agencies with responsibilities for petroleum matters will also benefit from this course.

Level

  • Proficiency
  • This course provides a better understanding of the downstream petroleum sector in its technical, economic, commercial and environmental dimensions (main refining units, key economic data and characteristics, management tools…).
Course Content

REFINING

6 days

  • Crude oils and finished products.
  • Refining processes.
  • Deep upgrading.
  • Environmental constraints.
  • Consequences of the reduction of heavy fuel oil outlets.
  • Short-term refinery management.
  • Unit margins.

DECISION SCIENCES

4 days

  • Linear programming: simplex, duality, economic interpretation, etc.
  • Refining supply and demand.
  • Refinery investments, costs and margins.
  • Dynamic programming, non-linear programming, MCP problems in their applications in Energy industries (Gas and Electricity).

DOWNSTREAM MANAGEMENT & SUSTAINABLE DEVELOPMENT (refining, gas & power)

22 days

  • Mid and downstream business: oil refining, petrochemicals and products.
  • Utility management: coal, gas and power.
  • Renewables and Environmental Management.

COMMODITIES MARKETS & TRADING

5 days

  • Introduction to commodities markets (energy, soft, tropical & non-ferrous).
  • Physical oil markets.
  • OTC products.
  • Future markets. Options.
  • Risk management and hedging.

STRATEGIC MARKETING & MANAGEMENT

8 days

  • Role of marketing in the firm and in the economy.
  • Marketing organization.
  • Measuring the firm's competitiveness.
  • Designing a development strategy.

ADVANCED ECONOMETRICS

5 days

  • Applied probability and statistics.
  • Applications of statistical and probabilistic concepts.

INDEPENDENT STUDY

10 days

  • Personal research work.