Testing page for app

2019’s class of offshore projects show a wide range of potential sanctioning outcomes.

When you think of “data science” and “machine learning,” do the two terms blur together? This article will clarify some important and often-overlooked distinctions between the two to help better focus learning and hiring.

In need of an exploration boost, Norway doled out a record 83 production licenses in mature areas of the Norwegian Continental Shelf to 33 firms.

Skybox Datacenters has signed a 15-MW lease with a client that will host a supercomputer in its Houston facility. The client expects the system to beat Summit, the US Department of Energy supercomputer that is currently considered the world’s fastest.

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?

Batch data processing is extremely challenging. It’s time-consuming, brittle, and often unrewarding. This story explores how applying the functional programming paradigm to data engineering can bring clarity to the process.

Upstream oil and gas is well behind other industries when it comes to being digitally enabled. That said, there is an enormous amount of interest in and expectation around the benefits of digital solutions.

An increasingly buzzy term tossed around at industry events, “digital twin” is leveraging data analytics, machine learning, and artificial intelligence to improve efficiencies from design to decommissioning.

This new publication intends to cover the hype, the hope, and the reality of data science and digital engineering. We want to educate about new emerging digital technologies, but we also want to talk about the other hard issues that are preventing us from moving faster.

By racking up exploration agreements in the United Arab Emirates, Oman, and Bahrain, Eni took a big step forward in its pledge to tap into the Middle East’s vast swaths of highly prospective oil and gas acreage.