The freely accessible online platform is the latest in a series of maps designed to reveal the continent’s untapped geothermal potential.

The companies say they plan to use AI to unlock value from terabytes of data upstream and across FPSO operations.

This paper proposes how the strengths of cloud computing can become key enablers for oil and gas organizations in helping them enhance their overall security posture and manage risks within operational-technology environments.

In today’s era of asset management, digital twins are changing risk management, optimizing operations, and benefitting the bottom line.

Digitalization and advanced analytics have enabled drilling automation that is changing the way wells are executed to deliver more production earlier.

This paper presents a case study highlighting the demonstration, refinement, and implementation of a machine-learning algorithm to optimize multiple electrical-submersible-pump wells in the Permian Basin.

This paper presents a closed-loop iterative well-by-well gas lift optimization workflow deployed to more than 1,300 operator wells in the Permian Basin.

This paper explores the use of machine learning in predicting pump statuses, offering probabilistic assessments for each dynacard, automating real-time analysis, and facilitating early detection of pump damage.

This paper focuses on developing a model that can be used in an automated, end-to-end flare-smoke detection, alert, and distribution-control solution that leverages existing flare closed-circuit television cameras at manufacturing facilities.

This paper describes an experimentation trial deploying and operating a computer-vision system on a deepwater rig to measure drilled cuttings in real time using a remotely monitored camera system.