Decision Making and Risk Analysis in Oil and Gas Fields

  • Oil and Gas Engineering |

Description

Introduction to risk analysis in oil and gas industry - Creating values by making decisions - Optimal returns on the allocation of human and financial resources - Decision analysis process and the respective roles of management and the analysis team - risks and uncertainties as probability distributions and popular statistics - discrete risk events in Venn diagrams, probability trees, and joint probability tables - Craft and solve decision models - Evaluating the impacts of uncertainty, managing its resultant risks and planning to exploit its up-side potential - Decision-making process, multi-objective decision making, decision-tree analysis, decision criteria - Monte Carlo Simulation and Value of Information & Flexibility - Utility Theory (as a means of rationally accounting for risk attitudes) - psychological and judgmental aspects - Case studies. references Risk Analysis and Control for Industrial Processes - Gas, Oil and Chemicals

Program

Bachelor Degree in Oil and Gas Engineering (160)

Objectives

  • Explain the fundamentals of risk analysis in the oil and gas industry. Represent risks and uncertainties using probability distributions, Venn diagrams, probability trees, and joint probability tables. Build and solve decision models, including decision trees and multi-objective decision analysis. Apply Monte Carlo simulation, value of information, and utility theory to evaluate uncertainty and manage risk. Analyze decision problems in oil and gas fields through case studies.

Textbook

Hans J Pasman, Risk Analysis and Control for Industrial Processes - Gas, Oil and Chemicals, ELSEVIER, 2015

Course Content

content serial Description
1Introduction to risk analysis in oil and gas industry
2Creating values by making decisions
3Optimal returns on the allocation of human and financial resources
4Decision analysis process and the respective roles of management and the analysis team
5Risks and uncertainties as probability distributions and popular statistics
6Discrete risk events in Venn diagrams, probability trees, and joint probability tables
77th Week Exam
8Craft and solve decision models
9Evaluating the impacts of uncertainty, managing its resultant risks and planning to exploit its up-side potential
10Decision-making process, multi-objective decision making, decision-tree analysis, decision criteria
11Monte Carlo Simulation and Value of Information & Flexibility
1212th Week Exam
13Utility Theory (as a means of rationally accounting for risk attitudes)
14Psychological and judgmental aspects
15Revision

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.

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