Economics of Oil and Gas Production
| Start Date | End Date | Venue | Fees (US $) | ||
|---|---|---|---|---|---|
| Economics of Oil and Gas Production | 24 May 2026 | 28 May 2026 | Dubai, UAE | $ 3,900 | Register |
| Economics of Oil and Gas Production | 30 Aug 2026 | 03 Sept 2026 | Riyadh, KSA | $ 3,900 | Register |
| Economics of Oil and Gas Production | 13 Dec 2026 | 17 Dec 2026 | Abha, KSA | $ 4,500 | Register |
Economics of Oil and Gas Production
| Start Date | End Date | Venue | Fees (US $) | |
|---|---|---|---|---|
| Economics of Oil and Gas Production | 24 May 2026 | 28 May 2026 | Dubai, UAE | $ 3,900 |
| Economics of Oil and Gas Production | 30 Aug 2026 | 03 Sept 2026 | Riyadh, KSA | $ 3,900 |
| Economics of Oil and Gas Production | 13 Dec 2026 | 17 Dec 2026 | Abha, KSA | $ 4,500 |
Introduction
Can you predict the oil price today, tomorrow, or next year? Uncertainty and risk are inherent in the hydrocarbon industry, thus evaluating and quantifying uncertainties and risks associated with a course of action is a vital step in the petroleum business. This is especially critical as oil and gas production is capital-intensive with high operating costs, and the decisions made today last for decades with long-lived assets. This Economics of Oil and Gas Production training course highlights economic and uncertainty analysis applied to oil and gas projects to facilitate informed decision-making and foster long-term business resilience for complex systems and projects. Applications for screening and evaluation are studied in detail.
This Economics of Oil and Gas Production training course will highlight:
- Decision & Risk Analysis for Oil & Gas
- Economic Concepts in the Petroleum Industry
- Modeling Uncertainty for Hydrocarbon Projects
- Bayesian Thinking and Decision Tree Framework
- Economic Evaluation of Unconventional Resources
Objectives
- Facilitate high-quality decisions under uncertainty
- Recognize the sources of uncertainty in the hydrocarbon business
- Apply effective modeling frameworks for quantitative analysis
- Develop data to knowledge to action resiliency
- Compare alternatives from operational performance and economical perspectives
At the end of this Economics of Oil and Gas Production training course, you will learn to:
Training Methodology
This is a high-level Economics of Oil and Gas Production training course with engineering and project economics principles interwoven in. The training course provides an overview of economic concepts and petroleum resources management to leverage complex, sequential decision-making. Delegates attending this Economics of Oil and Gas Production training course will learn and apply techniques and workflows to solve economic exercises using software-based and manual methods. Also, the delegates will have exposure to real-world case studies from multiple fields the world over. Some of the case studies will be presented and handed to delegates as a class activity to evaluate the case, identify risks and propose optimization measures. Furthermore, the delegates will complete projects with the objective of evaluating hydrocarbon resources performance and economic value under uncertainty.
Who Should Attend?
This Economics of Oil and Gas Production training course is highly recommended for a wide range of professionals in management, planning, operations, and engineering disciplines. It is specially of great value to:
- Business and Government Leaders
- Energy Professionals
- Professionals working in the field of Economy, Finance, Business Administration, and Investment
- Petroleum Engineering Disciplines
- Geo scientists
- Regulatory, Security and Political Authorities
- Merger & Acquisition
- Project Management
Course Outline
Day 1: Economic Principles
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Motivation
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Economic Concepts
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Economic Definitions
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Cash Flow Analysis
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Time Value of Money
Day 2: Hydrocarbon Resources Economic Evaluation
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Petroleum Resources Management System
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Petroleum Reserves
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Return on Investment
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Net Present Value
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Screening and Evaluation of Oil & Gas Projects
Day 3: Modeling and Forecasting
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Building Models from Data
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Reservoir Performance
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Well Production Forecast
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Sensitivity Analysis
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Monte Carlo Simulation
Day 4: Unconventional Resources
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Unconventional Reservoirs
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Rate Forecast
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Economic Value Estimation
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Investment Evaluation Methods
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Bayesian Inference
Day 5: Decision and Uncertainty Analysis
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Sources of Uncertainty
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Risks from Uncertainty
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Decision Tree Construction and Evaluation
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Decision Analysis and Framework

