Digital Transformation
Mark your calendars for the first SPE Live featuring the 2025 TWA Energy Influencers.
The energy sector is rapidly transforming toward a data-driven, decentralized future where combining human expertise with AI and machine learning unlocks new efficiencies, solves complex challenges, and creates a decisive competitive advantage.
AI is transforming oil and gas, but the real change will come from young professionals (YPs) who bridge technology and field expertise. By leading pilots, building networks, and challenging old assumptions, YPs can drive the industry’s digital transformation from within.
-
Explore the challenges associated with fiber-optics data analysis and how recent advances in technology can be leveraged to maximize the value of the data. -
These seven open-source simulators are available for free use and are among the best available in the industry.
-
Dan Jeavons, Shell’s VP of computational science and digital innovation, discussed the findings in MIT’s recent report on digital technology’s impact on a net-zero emissions future with Aman Srivastava, TWA deputy editor in chief.
-
Join us for the final installment in our four-part series focused on addressing the implementation of AI in the petroleum industry using a real case study.
-
Continue our journey with Part 3 of this four-part series focused on addressing the implementation of AI in the petroleum industry using a real case study.
-
Join us for Part 2 of a four-part series focused on addressing the implementation of AI in the petroleum industry using a real case study.
-
Grab a pen and paper and settle in for Part 1 of a four-part series focused on addressing the implementation of AI in the petroleum industry using a real case study.
-
The future of oil and gas technologies seems promising and full of opportunities from a young professional’s perspective. The floor is wide open for disruptive inventions that can significantly optimize operations.
-
-
Data validation is not a direct out-of-the-box process and requires planning and even budgeting, but high-quality data can save your time, money, and effort.
