The oil and gas industry remains one of the most capital-intensive and complex in the world. According to the International Energy Agency (IEA), global investments in upstream (exploration and production) exceeded $570 billion in 2025, and demand for oil and gas, despite the growth of renewables, remains at around 100 million barrels per day. At the same time, the industry faces a talent shortage: according to estimates by the Russian Union of Oil and Gas Producers, the deficit of qualified specialists in the segment is about 15–20% of total demand. This is where modern online courses come to the rescue, allowing you to systematize knowledge without interrupting work.
The course "Oil and Gas Engineering and Energy" on the asibiont.com platform is not a typical program with lectures and tests, but a personalized educational track built on lesson generation by a neural network. It covers the entire chain: from geological exploration and drilling to refining, sales, and the energy transition. Let's break down what you will learn, who this course is suitable for, and why the AI format is effective.
What You Will Study: From Well to Exchange Contract
The course is designed to provide a holistic understanding of all stages of the oil and gas business. Instead of fragmented knowledge, you get a systematic picture:
Upstream: Geophysics, Drilling, and Production
You will understand methods of seismic exploration (2D/3D/4D), well logging, and interpretation of GIS data. You will learn how reserves are calculated according to SPE-PRMS classifications and why the oil recovery factor (ORF) rarely exceeds 40% for conventional reservoirs. Through practical cases—for example, evaluating the effectiveness of hydraulic fracturing (fracking) at a field in Western Siberia—you will master Excel models for production forecasting.
Midstream: Pipelines, LNG, and Storage
Transportation of hydrocarbons is a separate engineering and economic challenge. You will study the logistics of liquefied natural gas (LNG): from liquefaction to regasification, including calculating the breakeven point for a plant with a capacity of 10 million tons per year. The course examines the real case of the Arctic LNG 2 project and the factors that influenced its implementation.
Downstream: Oil Refining and Petrochemistry
The depth of oil refining at modern refineries in Russia is about 85%, but the best global plants achieve 95% (for example, the complex in Jamnagar, India). You will learn to model material balances for atmospheric-vacuum distillation units, catalytic cracking, and reforming, as well as evaluate the economics of polymer production at petrochemical plants.
Project Economics and Risk Management
The course pays special attention to financial modeling—a skill without which a career in project finance or investment analysis is impossible. You will learn to:
- calculate NPV and IRR for an oil and gas project considering CAPEX/OPEX;
- understand production sharing agreements (PSA) and tax regimes (MET, mineral extraction tax);
- assess HSE (Health, Safety, Environment) and process safety risks based on real accidents—for example, the explosion on the Deepwater Horizon platform in 2010.
According to the US Occupational Safety and Health Administration (OSHA), implementing process safety systems reduces the frequency of incidents by 70–80%. In the course, these topics are analyzed using specific cases with calculations.
Energy Transition: Hydrogen, CCUS, and Renewables
Oil and gas companies are actively diversifying their portfolios. TotalEnergies and Shell are already investing in green hydrogen and carbon capture (CCUS). According to the Global CCS Institute, as of early 2026, there are 55 industrial CCUS facilities operating worldwide with a total capacity of 120 million tons of CO₂ per year. In the course, you will understand how to evaluate the economics of a carbon capture project and what risks are associated with hydrogen infrastructure.
How Learning Works on asibiont.com
The asibiont.com platform uses an AI tutor to generate personalized lessons. Unlike traditional courses with fixed schedules, the neural network analyzes your current level and goals—and creates text materials specifically for you. You don't watch videos (there are none here), but read structured lessons with examples, formulas, and assignments. This saves time: a Stanford University study showed that text-based learning with an adaptive trajectory is 30% more effective than standard lectures for memorizing complex terms.
The AI tutor explains complex concepts in simple language: if you are a beginner, it will start with the basics of geology and terminology, and if you have an engineering background, it will immediately move to advanced NPV and PSA models. Access to lessons is 24/7, allowing you to study at any time without being tied to webinars.
Who This Course Is For
The target audience includes several groups:
- Young professionals (geologists, petroleum engineers, economists) who want to systematize knowledge and gain practical Excel modeling skills.
- Middle managers from related industries (energy, chemicals, logistics) who want to understand the oil and gas business to transition into this field.
- Senior students from oil and gas universities (Gubkin Russian State University of Oil and Gas, Tomsk Polytechnic University, Ufa State Petroleum Technological University) who lack practice with real cases and calculations.
- Investors and analysts who want to understand how to evaluate oil and gas assets and the risks of the energy transition.
Why AI Learning Is Modern
Traditional courses often become outdated before you finish them. The AI tutor on asibiont.com updates materials based on the latest data: for example, if mineral extraction tax rates change or new technologies in CCUS emerge, the neural network adjusts the lessons. This is especially important in the oil and gas sector, where regulatory frameworks and market conditions change quarterly.
Additionally, personalization allows you to learn faster: you don't waste time on topics you already know, but focus on gaps. According to the platform, the average time to complete the "Oil and Gas Engineering and Energy" course is 6–8 weeks with a workload of 5–7 hours per week.
Conclusion
The oil and gas industry requires not only intuition but also precise calculations. The course "Oil and Gas Engineering and Energy" on asibiont.com gives you the tools to work confidently at all stages—from geological exploration to the energy transition. You will master Excel models, analyze real cases, and learn to make investment decisions based on numbers.
Ready to start? Go to the course page: Oil and Gas Engineering and Energy. Personalized learning awaits you.
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