AI & Machine Learning
Oceaneering announced it entered into a contract with Subsea 7 to supply an umbilical and flying leads for Shell's deepwater Vito development in the Mississippi Canyon area of the U.S. Gulf of Mexico.
When data scientists are hard to come by, companies can find themselves at a disadvantage with all the operational data at their fingertips. Four tips for getting started with machine learning are highlighted.
Implementing edge devices into a system is powerful, easy to use and install, cost-effective, and optimizes data collection and reliability. Find your way to the edge.
Despite the demand for standardized communication protocols among manufacturers, both the manufacturers and end users face challenges when it comes to agreeing on a path.
The KBC Co-Pilot Program from KBC Advanced Technologies (KBC) is designed to remotely support the plant and is connected to a cloud-based Industrial Internet of Things (IIoT) data-as-a-service solution to remotely monitor and help improve their customers' process operations.
Schneider Electric's SimSci SimCentral for Process Utilities is a platform designed to manage how processes are engineered across their entire lifecycle and users can streamline process utility design, collaborate for process improvement and simplify modeling complexity.
As the oil and gas industry embraces the idea of the "digital oilfield" discussed in October, it's important to note that there already is a lot of digital information floating around out there. We've had sensors and data screens for years; all of this is generated by the collection and organization of that information. The true digital oilfield is more than just data collection.
The benefits of tablet-based tools are being realized vs. using traditional methods.
Optimizing oil and gas operations will involve connectivity and the Industrial Internet of Things (IIoT).
Companies that allow their operators to act on all the data coming in will be able to save time and money.