predictive analytics

This paper outlines how one company uses digital technologies to manage HSE risks in project delivery, developing an artificial intelligence (AI) predictive model to predict HSE risks and incidents based on historical incident data.

For organizations that do it well, data management provides a competitive edge in an increasingly digital oil field. But teams all too often are so busy managing all the moving parts of data management that they take their eye off of “the prize”—the payoff after you have put everything into place to sustain successful data management.

Geolog and Petro.ai announced a strategic partnership to deliver data science products and services to the global energy industry.

The Offshore Technology Conference was cancelled for the first time ever due to the COVID-19 pandemic. But the flow of ideas continues. As proof, this curated summary of technical papers highlights unique concepts that might someday reduce the offshore sector’s heavy cost burdens.

Aberdeen’s Opex Group and an industrial behavioral psychologist are designing a tool that will combine data from diagnostic surveys with historical data on oil and gas accidents and spills.

The ability to predict the future to optimize operations has been the aim of oil and gas companies for some time. Could that time finally be here?