Testing page for app

Artificial intelligence has come to the oil patch, accelerating a technical change that is transforming the conditions for the oil and gas industry’s 150,000 US workers.

Testing will be performed at DNV’s labs in Columbus, Ohio, and Norway and overseen by experts in fatigue of subsea equipment, bolting connections, cathodic protection, and instrumented tests.

A new report predicts that US output will rise to a new record high of 12.1 million B/D in 2020.

Unconventional development has made it clear to Erdal Ozkan that conventional theory overlooks a lot of potentially productive rock. He talks about looking for ways to do better as part of JPT’s tech director report.

Expectations from data analytics in the upstream sector continue to evolve. Although the number and diversity of applications continue to increase, the adoption at the assetwide level faces well-known barriers and challenges.

The backing of one of the world’s largest oil and gas companies aims to put this emerging digital technology on the path to widespread adoption.

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

Oil companies are talking big about using data and analytics, but the experts in the field are not sure what their role will be. Birol Dindoruk, SPE's technical director for management and information, talks about ensuring that they have a say.

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?

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.