(Click Category to List Courses)

2 - OGE - Oil & Gas - General/Miscellaneous


OGE 110 - International Oil and Gas Business Management (10 Days)

Code Start Date Duration Venue Fees
OGE 110 05 July 2021 10 Days Istanbul $ 9900 Registration Form Link
OGE 110 02 August 2021 10 Days Istanbul $ 9900 Registration Form Link
OGE 110 30 August 2021 10 Days Istanbul $ 9900 Registration Form Link
OGE 110 27 September 2021 10 Days Istanbul $ 9900 Registration Form Link
OGE 110 25 October 2021 10 Days Istanbul $ 9900 Registration Form Link
OGE 110 22 November 2021 10 Days Istanbul $ 9900 Registration Form Link
OGE 110 20 December 2021 10 Days Istanbul $ 9900 Registration Form Link
DOWNLOAD PDF

 

Course Description

This courses nnderstands the multiple and complex challenges facing the energy industry, such as decarbonisation, wide scale digitisation, and decentralisation. You will learn the practical and professional skills you need to manage complex commercial and financial transactions in the international workplace. You'll become competent in the design and implementation of alternative courses of action in the oil and gas industry.

Course Objectives

  • Understand all of the value-added steps from the well to the consumer
  • Gain an understanding of the ways the oil and gas industries have organized to operate effectively and efficiently
  • Learn the details of gas processing
  • Learn how crude oil is processed into transportation fuels
  • Understand the fundamental economic calculus of both the upstream and downstream oil and gas industries
  • Develop the skills necessary to evaluate opportunities and make effective decisions related to oil and gas operations

Who Should Attend?

  • Engineers
  • Managers
  • Employees working in the areas of Planning, Marketing or Finance
  • Anyone requiring a broad understanding of the structure, operations and economics of the Oil and Gas industries

Course Details/Schedule

Day 1

  • Sources, Origin and Nature of Petroleum
  • Fundamentals of organic chemistry
  • Definition of Petroleum
  • The Oil and Gas Industry
  • Basic petroleum geology
  • Origins of Hydrocarbon Deposits
  • Exploration activities
  • Exploration Methods
  • Drilling Proposal
  • Types of Well

Day 2

  • Oil and gas field development
  • Production
  • Well fluids and surface production operations
  • Transportation

Day 3

  • Oil Companies, Corporate Relationships and Structures
  • Operating companies and service companies
  • Local, national and multi-national oil and gas companies
  • Major International Oil Companies
  • National Oil and Gas Companies
  • Integrated and non-integrated companies
  • Integrated Companies
  • Non-integrated Companies

Day 4

  • Organization of Petroleum Exporting Companies (OPEC)
  • Other international and multi-national organizations
  • International Energy Agency (IEA)
  • Production sharing agreements

Day 5

  • Processing Operations and Economics
  • Oil refining operations
  • Distillation
  • Product improvement processes
  • Product conversion processes
  • Other operations

Day 6

  • Gas processing operations
  • Inlet separation
  • Sulfur removal and sulfur recovery
  • Dehydration
  • Dewpoint control and byproduct recovery
  • Gas compression
  • Basic economics of the oil and gas industries

Day 7

  • Evaluation of Oil and Gas Opportunities
  • Estimating the cost of oil and gas facilities
  • Using historical costs
  • Cost curves
  • Adjusting for different sizes
  • Adjusting for different time periods

Day 8

  • Building cash flow models
  • What is financial modeling?
  • Who does Financial Modeling?
  • What are the steps in building a financial model?
  • Using cash flow models to evaluate projects
  • Internal rate of return
  • Net present value
  • Benchmark indicators

Day 9

  • Making Decisions under Conditions of Certainty and Uncertainty
  • Certainty
  • Risk
  • Crisis problem
  • Uncertainty
  • The role of probability in decisions
  • Mathematical modeling of business processes

Day 10

  • Making management decisions under conditions of certainty
  • Optimization of the model and interpretation of results
  • Making management decisions under conditions of uncertainty