AI & Machine Learning
Exploring data analysis techniques for easy, cost-effective solutions in the oil and gas industry.
Tony Edwards of StepChange Global discusses how oil and gas operators are managing the use of data in operations, and how field workers and the control room are learning to trust each other more in this new digital age.
New production methods, such as horizontal drilling, enabled the company extract more oil from its extensive reservoir of reserves in the Permian Basin of west Texas.
Enterprise Application Integration (EIA) offers data management to better manage costs, process challenges.
Researchers have developed an approach using an electronic voiceprint to improve network security for industrial control systems (ICSs) in oil and gas refineries, manufacturing facilities, wastewater treatment plants and other critical industrial systems.
The 300-ton and 500-ton capacity hydraulically powered Hydra-Slide heavy track skidding systems are for moving, loading or unloading all types of heavy loads.
Aerial imagery and data capture via manned and unmanned aerial vehicles with computer vision algorithms can efficiently and effectively analyze and interpret such images and data.
Yokogawa Electric's version R3.30 of its plant resource manager (PRM) software tool for the centralized management of large amounts of data and includes a management function for HART and enhancements to the navigation function.
Part 4: This series explains the automation pyramid: A framework for process intelligence and improvement. The fourth level: data analysis systems are explained. Links to Parts 1 through 3 can be found at the bottom of this story.
At a large floating production storage and offloading unit (FPSO), managers have found a way to protect workers and equipment from electrical arc flash and reduce the risk of downtime.