training

Data and AI will change our industry for the better. At the root of this change will be the empowerment of engineers to make better decisions.

The expanded scope of our evolving industry means that members of the petroleum engineering profession will enjoy a long, rewarding career. At the same time, we will need to continue developing our competencies to enable expected contributions in producing new forms of energy resources.

The industry continues its move toward energy transition, demonstrating different stages among companies. These industry changes are affecting our current and future members, and SPE is working to provide guidance and education to our members through many avenues.

Equinor is adopting a mobile-game-based “safety simulator” training program from learning and development company Attensi, and a user survey suggests it’s working.

Spending plans announced by oil and gas companies indicate that about 80% of their budgets are directed toward traditional E&P, efforts to reduce emissions and carbon footprints, and sustainable investment in new energy. It is reasonable to expect that with these budget increases, there will be an uptick in the employment of petroleum professionals.

As the world continues to grapple with the post-pandemic new normal and unfamiliar global uncertainty, the case to begin and commit to a career in the upstream subsurface industry may be harder to see, but it’s still rewarding and with longevity.

The model of “learn at school and do at work” is outdated and must keep up with the changing environment of the Industrial Revolution 4.0. Petroleum engineering curricula, therefore, must also change accordingly. It is time to examine the core curricula being taught at petroleum schools so that long-term sustainability can be established.

The pandemic shrank technical teams across the upstream industry, raising new and important questions about how training and knowledge sharing must evolve.

SPE has established three new technical sections—the Management Technical Section, the Methane Emissions Management Technical Section, and the Data Science & Engineering Analytics Technical Section.

This paper explains how machine learning and physiology can be used to improve rig technical training by monitoring the operator’s stress, leading to targeted training to manage such situations better.