Data & Analytics

ExxonMobil developed an automated system to identify nonproductive and underperforming Permian Basin wells and prioritize high-volume wells to return to production.

This paper highlights a new online system for monitoring drilling fluids, enabling intelligent control of drilling-fluid performance.

This paper investigates the use of machine-learning techniques to forecast drilling-fluid gel strength.

This paper describes the suite of cloud-based digital twin tools that the operator has developed and is integrating into its operations, providing online, real-time calculation of scale risk and deployed barrier health to manage risk on a well-by-well basis.

There is no shortage of quantum technology applications in the upstream industry, from supply chain to well placement, making now the time to take it seriously.

Technology uptake aimed at optimizing resources, delivering consistency, and augmenting what humans can do.

The companies have finished a seismic survey of an underexplored area of the Bonaparte Basin offshore northwest Australia.

Kongsberg Digital and other industry leaders see the arrival of artificial intelligence (AI) as a catalyst for major change in the office and in the field.

Analytics company GlobalData has released a report, “Robotics in Oil and Gas,” that aims to provide an overview of robotics technology and its applications in the oil and gas industry, highlighting the role of major oil and gas companies in the development and adoption of robotics to enhance safety and productivity.

Machine learning and a decade of gas composition records helped the operator identify wells that were most likely to produce paraffins.