TM0407 : Managing an Oil and Gas Production Business

 This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops. 

 This course is designed to provide participants with a detailed and up-to-date overview of managing oil and gas production business. It covers the fundamentals of organic chemistry, petroleum and the oil and gas industry; the basic petroleum geology and origins of hydrocarbon deposits; the exploration methods, drilling proposal and types of well; the oil and gas field development, production, well fluids and surface production operations and transportation; and the operating companies and service companies, local, national and multi-national oil and gas companies. 
Further, the course will also discuss the major international oil companies and national oil and gas companies including integrated and non-integrated companies; the organization of petroleum exporting companies (OPEC) and other international and multi-national organizations; the international energy agency (IEA); the production sharing agreements, oil refining operations and distillation; and the product improvement processes, product conversion processes and other operations including gas processing operations and inlet separation. 
During this interactive course, participants will learn the sulfur removal, sulfur recovery and dehydration, dewpoint control and byproduct recovery; the gas compression and basic economics of the oil and gas industries; the cost of oil and gas facilities and using historical costs, cost curves and adjusting for different sizes and time periods; the cash flow models and financial modeling; the cash flow models to evaluate projects, internal rate of return, net present value and benchmark indicators; the certainty, risk and crisis problem as well as uncertainty and the role of probability in decisions; the mathematical modeling of business processes and make management decisions under conditions of certainty; and the model and interpretation of results and make management decisions under conditions of uncertainty.