Starting a career in the oil industry is the first step in a professional development process that can lead to roles in advanced engineering, consulting, or technical leadership.

From junior engineer to simulation specialist

One of the possible paths involves specializing in reservoir simulation, an area that combines Petroleum Engineering, mathematics, geology, and computational technology.

This growth does not depend solely on years of experience: it also requires learning to interpret complex information, using specialized tools and taking on progressively greater technical responsibilities.

First steps in the oil industry

The newly graduated engineers can begin by performing technical support tasks, data organization, production analysis, and report preparation.

For example, a junior engineer can study the historical records of several wells, analyze their oil, gas, and water flow rates, detect inconsistencies, and prepare charts for reservoir engineers.

In Latin America, different companies have developed initiatives to facilitate this first work experience. For example, in Brazil, Petrobras held calls for professional internships in 2024 and 2026, with training opportunities and tutor support. In Colombia, Ecopetrol announced in September 2026 more than 300 internship opportunities for technical, technological, and university students.

Specialization in reservoir engineering and simulation

Development of technical knowledge

After gaining initial experience, an engineer can deepen their knowledge of fluids, pressure analysis, reservoir engineering and hydrocarbon recovery methods. For example, they can go from preparing production data to participating in history matching of a model, comparing simulated results with the actual reservoir records.

In Argentina, the IAPG offers a corporate training program in reservoir engineering, aimed at professionals interested in understanding the physical and technical fundamentals of this specialty.  In Mexico, as background from previous years, the Instituto Mexicano del Petróleo organized in April 2021 a course on numerical reservoir simulation, which taught how to build models using ECLIPSE 100.

Specialized software tools

Knowledge of simulators such as tNavigator, IMEX, GEM and STARS from CMG or ECLIPSE can be relevant for moving into simulation roles. However, learning several programs does not guarantee becoming a specialist. It is also necessary to understand the physical processes represented, identify errors and assess the uncertainty of the results.

As a resource for researching training opportunities, Computer Modelling Group publishes information about its technical training. It is also advisable to complement your knowledge with programming. For example, Python makes it possible to automate data processing and compare simulation results. Data Science and Computer Engineering offer complementary knowledge for this profile.

Career growth opportunities

A possible path starts as a junior engineer, continues toward reservoir engineering positions and can evolve into senior simulation specialist roles.

While a junior engineer can prepare data and run supervised calculations, an experienced professional usually takes on responsibilities such as defining simulation scenarios, assessing risks and recommending oil field development strategies.

In Brazil, the National Petroleum Agency runs the PRH-ANP program, aimed at supporting specialized training and energy research. In July 2026 it organized the PRH-ANP 2026 Entrepreneurial Journey, with training, mentoring and innovation projects. With greater experience, opportunities in consulting, research, scientific software development and technical advisory can also arise. Not all professionals need to orient themselves toward team management.

How to build a professional development plan

To move from a junior position toward a specialization in reservoir simulation, it is not enough to take courses or accumulate years of experience. It is necessary to identify what knowledge the desired position requires, what is currently mastered, and what abilities still need to be developed.

1. Identify the necessary competencies

A first step is to compare your own skills with the requirements of the specialty.

For example, an engineer interested in simulation should ask himself whether he can interpret properties such as porosity and permeability, analyze production curves, understand fluid flow in porous media, and explain how a numerical model works. Training in Petroleum Engineering provides a basis for developing these competencies. However, some require additional training and practical experience.

2. Acquire technical knowledge through concrete problems

A learning strategy is to select an industrial problem and study the knowledge needed to solve it. For example, if a reservoir shows a production decline, the engineer should investigate possible pressure changes, fluid behavior, and well operating conditions.

In Argentina, the Instituto Argentino del Petróleo y del Gas (IAPG) offers a training program in reservoir engineering that covers concepts such as permeability, saturation, productivity, and fluid movement in rocks.

3. Develop projects with real oil industry data

One of the best ways to demonstrate competencies is to carry out studies using industry information. It is not always necessary to work at a company to get started: there are organizations that publish data for research and analysis purposes.

In Colombia, the Agencia Nacional de Hidrocarburos publishes open datasets on oil and gas production. With these records you can develop a project that analyzes how production from different fields has evolved, identifies trends, and compares periods of growth or decline. To move toward more complete simulations, the Norwegian company Equinor offers information from the Volve field, which includes well records, production data, and subsurface models. It is important to distinguish between analyzing production statistics and simulating a reservoir. For a physical simulation you also need rock properties, information about fluids, and reservoir conditions.

4. Learn simulation and evaluate different scenarios

Once you have mastered the fundamentals, the next step is to build simple models and progressively increase their complexity.

An exercise can begin with a hypothetical reservoir and a producing well. Afterwards, scenarios with different extraction rates, permeabilities or water injection strategies can be compared. For practice, there are tools such as OPM Flow, an open-source simulator, as well as commercial programs such as tNavigator and the CMG simulators. The Canadian company Computer Modelling Group also offers specialized training to develop skills in these tools.

The important thing is not only getting the simulator to work, but checking whether the results are physically reasonable, identifying the assumptions used and explaining the uncertainties of the model.

5. Incorporate programming, English and technical communication

Programming can make simulation work easier. For example, Python makes it possible to automate file reading, compare results from different scenarios and generate graphs for technical reports. Degrees such as Data Science and Computer Engineering offer complementary knowledge in these areas. Technical English is also useful for interpreting documentation, participating in international training courses and presenting results to specialists from other countries.

6. Build a portfolio and demonstrate professional autonomy

To aspire to positions of greater responsibility, it is advisable to gather projects that demonstrate how the knowledge acquired is used.

For example, a portfolio may include a production analysis of a Colombian field, a simulation of a hypothetical reservoir and a comparison of recovery strategies. Each project should present the data used, the procedure, the results and the limitations identified. An effective professional development plan must produce verifiable results: applied knowledge, built models, documented analyses and solved problems.

These experiences allow for gradual progress toward simulation, advanced engineering and specialized consulting roles, although the specific requirements depend on each company.