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A comeback in offshore and international exploration and production is making up for the North American slowdown, but it is a difficult transition.

“The Ohio Health Registry is really an attempt to collect the contacts of people who live close enough to any aspect of shale development that they might be affected,” said Deborah Cowden, a family physician who started the effort.

Recently, AI researchers from Microsoft open-sourced the Decentralized & Collaborative AI on Blockchain project that enables the implementation of decentralized machine-learning models based on blockchain technologies.

Researchers mapped 251 faults in the North Texas home of the Barnett Shale, the birthplace of the shale revolution, finding that wastewater injection there “significantly increases the likelihood for faults to slip.”

The Bakken and Niobrara operator will eliminate 254 jobs in an effort “to better align [its] business with the current operating environment.”

Lundin reports that the hookup and commissioning of installed facilities at the large North Sea field is progressing as planned. Phase 1 startup is still scheduled for November.

A joint-venture agreement gives Solaris control of Concho’s produced-water infrastructure in New Mexico, and Lagoon Water Solutions closed on a deal with Continental in Oklahoma.

Cybersecurity firm Dragos has identified a new threat to the oil and gas industry, HEXANE. The company has also released a report assessing the cybersecurity environment in oil and gas.

Using direct air capture in the near-term is critical if the technology is going to be affordable at a truly large scale in the coming decades. Enhanced oil recovery is the most-economic way to do that.

Often, I receive questions from colleagues asking for tips on data science and machine learning as applied to petroleum engineering. This column address some of those questions I have collected. Here is my advice on becoming a petroleum engineer and a data science wizard.