Digital transformation
In the final part of this three-part series, we extend our learning of Part 2 to the multivariate model and train a single model to predict three outcomes: oil, gas, and water.
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.
-
"Digital gives you superpower...volunteering makes you a superstar," says Josh Etkind while sharing his insights on digital transformation and his vision as SPE Gaia chair.
-
The enthusiasm for AI practice is growing rapidly across all industries. This article gives a brief overview of AI's key elements.
Page 1 of 14