Data & Analytics
Schneider Electric says the deal advances its vision of creating intelligent industrial ecosystems that connect physical assets with digital insights across the asset life cycle.
With the latest addition, the Italian major’s computational capacity passes the exaflop threshold, making the firm the world’s leading company by computing power in the new TOP500 global ranking.
This case study describes how edge computing and industrial internet of things platforms were deployed to automate and optimize production operations across four distinct basins.
-
Tiny soil samples may contain as many as 300,000 species of microbial life, but a Netherlands-based startup has figured out that between 50 and 200 of them can tell an operator if a drilling location will hold oil and gas reserves. -
To reduce the risk of wells getting “frac hits,” Permian Basin operators around Midland created an information exchange to give them notice of nearby fracturing.
-
Supervisory control and data acquisition systems no longer simply monitor operations and produce large volumes of data in static displays, but now collect production data from all operation data sources and contextualize and present them to workers in real time as meaningful, actionable information.
-
Public clouds are one of the emerging technologies that are minimizing the cost of processing the big data of the oil and gas industry. Among the hurdles to the wide-scale adoption of the cloud are security and access cost.
-
Researchers have developed a drilling-data-aggregation and -distribution system that seamlessly integrates all forms of data, file types, and communication protocols and incorporates human-factors engineering in the design.
-
As companies begin examining facilities in the wake of Hurricane Harvey, commercial drones have become a valuable asset in reaching flooded areas too dangerous for people to reach.
-
No longer considered a buzz phrase, cloud computing has made converts of the largest oil companies, and now the smaller ones are next.
-
Southwest Research Institute is working to improve the accuracy of pipeline leak detection using sensors, artificial intelligence, and deep learning.
-
Sensor systems for pipeline inspections from Ingu and Rheidiant are among the initial selections to receive funding under Chevron’s CTV Catalyst Program.
-
Rockwell Automation’s Luis Gamboa explains his company’s new solution designed to allow operators to collect, sort, and reconcile the quality and quantity of data from multiple sources to optimize field data.
