DSDE: Features

As the oil and gas industry moves more into the machine learning space, Python-conversant petroleum domain specialists will prove to be increasingly valuable to organizations.

A growing number of oil industry leaders are saying that data sharing across the industry is needed, but change is coming slowly.

Representatives from ConocoPhillips, Shell, Chevron, and BP came together onstage at the 2019 Professional Petroleum Data Expo in Houston to present the Open Subsurface Data Universe, “an open-source, data-driven, reference architecture for subsurface and well data in a cloud solution.”

Application programming interfaces (APIs) are only valuable when they are being used. Harmonizing APIs in the industry would allow for rapid development and rapid scaling of applications or services across companies.

Cyberattacks on energy infrastructure have become a headline affair in recent years, and the costs of not addressing the threats they pose can be catastrophic. What are the responses, and how does the convergence of IT and OT help close the security gaps?

We have been the stranded sailor in the sea (of data) for too long. Access to cheaper computing resources and algorithms presents an opportunity to rethink our work flows that were optimized for a different time and age.

In the expanding landscape of oilfield data analytics, analysts must trust their data. Some experts say that trust in the data is as important, if not more important, than the data’s accuracy.

With new digital platforms and technologies driving the industry in the near future, organizations are examining the ways in which their established work flows may help or hinder their ability to adopt and adapt.

Like a fast-declining oil well, the value of propriety software is short-lived. Technological advances drive down the value of programs, many of which were never unique.

Robots have been a part of industrial production for decades, but the interface between humans and robots has changed as automation technologies increased in complexity, scope, and scale. Once a novelty, collaborative robots are projected to become a significant element of the automation landscape.