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This paper describes the development and field trials of a cloud-connected, wireless intelligent completion system that enables long-term monitoring and interval control to enhance production management by connecting the user wirelessly from the desktop to downhole inflow-control valves.

This paper details how artificial intelligence was used to capture analog field-gauge data with a dramatic reduction of cost and an increase in reliability.

Merging new knowledge and technological capabilities among the disciplines—and beyond—will be crucial to sustaining the industry for the long term.

Integrating sustainability in the core business is not a quick fix but a complex journey that touches all parts of the business and requires new ways of alignment and cooperation. Safety has gone through similar challenges, and we can learn a lot from that journey.

Major differences exist between engineering- and nonengineering-related problems. This fact results in major differences between engineering and nonengineering applications of artificial intelligence and machine learning.

The Arab world’s most populous country has awarded a string of concessions in a bid to become the region’s next major supplier of natural gas.

The largest natural gas field in the rising Eastern Mediterranean region is now flowing after being discovered a decade ago.

Digital twins are powerful combinations of models and data that “age” throughout the lifecycle of an asset as they gather and integrate data from the field. This technology is a quantum leap from earlier efforts at modeling complex systems.

The depth of the world’s offshore projects has steadily increased over the past 30 years—and so has its production base. The growth trend will continue thanks to new fields offshore Brazil, Guyana, and the US.

This article outlines 10 top trending technologies for 2019, a list that covers diverse topics such as security, the Internet of things, reinforcement learning, energy sustainability, and smart cities.

Joelle Pineau, a machine-learning scientist at McGill University, is leading an effort to encourage artificial-intelligence researchers to open up their code.

The most read stories reflect interest in the digital transformation, the energy transition, and shale operations.