Testing page for app

This paper highlights the results of a test campaign for a tool designed to predict the short-term trends of energy-efficiency indices and optimal management of a production plant.

The author argues that the advent of cloud technology should not be regarded as a further challenge to security but an opportunity to revitalize and improve a company’s defenses dramatically.

The value of hidden-danger data stored in text can be revealed through an approach that can help sort and interpret information in an ordered way not used previously in safety management.

This paper presents the recent expansion of UNFC guidance to cover social and environmental effects and the further transformation of the system to make it a valuable tool in resource management for governments and businesses.

Five years since the start of the precipitous oil price drop that led to the industry’s worst recession since the 1980s, the oil market is still struggling with supply/demand balances and price stability.

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.”

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.