View All AI & Machine Learning
Overcome the obstacles facing the oil & gas industry with the Internet of Things (IoT), which has had a major impact.
Artificial intelligence (AI) techniques are helping control and maintenance effectiveness, and an application demonstration shows how process simulation and machine teaching builds AI-based controllers to resolve industry problems, as shown in an Oct. 21 Virtual Training Week course.
Artificial intelligence (AI) and machine learning (ML) are moving into operations, in the oil & gas industry and beyond.
When other methods fail, AI is a critical finding and solving tool
Siemens Large Drive Applications delivered a drive train, which includes artificial intelligence and machine learning to Deer Park Refinery located in Houston, Tex., one of the nation's largest refineries.
MIT Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable and robust.
Researchers at UW-Madison have found a way to speed up the process of finding suitable reaction conditions using machine learning, which may help the era of biofuels come a little bit sooner.
Artificial intelligence (AI) might not seem critical for the oil & gas industry, but it can improve safety and efficiency for companies on a critical and even basic level.
Topaz Energy and Marine signed a long-term agreement and placed an order with Baker Hughes to collaborate on deploying BHGE’s lubricant condition monitoring system.
Machine learning and other advanced technologies are embedded in advanced analytics software to empower engineers and other experts.
Improve confidence with a complete view of data.
Questions are answered through an application example that applies machine learning to tubular connection analysis
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.
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.
The University of Houston's petroleum engineering program—started in 2009—has been elevated to a full department within the UH Cullen College of Engineering.
Yokogawa's TDLS8000 tunable diode laser spectrometer is designed to make in-situ measurements of gas concentrations for the the oil and gas, petrochemical, electric power, and steel industries.
PTC has signed an agreement to acquire Kepware for $100 million as the company looks to enhance their Internet of Things (IoT) portfolio and accelerate the company's entry into the factory setting.
As the connected enterprise takes hold in the manufacturing world, it is also moving into the oil and gas industry. Virtualization ensures uptime remains constant in the event of a crash.
James Kelloway from National Grid (U.K.) explained how data historians are being used to predict energy trends in the United Kingdom and protect energy grids from potential malfunctions and damage. Kelloway spoke at the 2015 Schneider Electric Software User Conference in Chicago.
Research from the University of Houston as part of the Cyber Resilient Energy Deliver Consortium aims to keep energy flowing despite cyber security and other threats to shut down critical infrastructure.
Technologies, such as big data and the Industrial Internet of Things (IIoT), offer oil and gas companies great opportunities as tools for real-time data analysis and performance improvement—if the industry can conquer the accompanying data-integration challenges.
Bill Littleton, managing director, client services and field operations at WellAware Holdings, spoke about days gone by, pioneering chemical injection processes, recruiting talent, and living life.
Model-based, predictive analytics lends itself to crunching multiple data sources to pinpoint risks for pipeline integrity management, while analytics for process monitoring and measurement evolve to better discover crucial variances.
Traditional ways of network routing work just fine in a stable environment. But in rugged, dynamic environments, kinetic mesh is increasingly effective where infrastructure devices are constantly on the move. Also see an explanation of how kinetic mesh can be used in oil and gas applications.
UPS systems ensure reliable power for oil and gas applications.
The promise of the industrial Internet is to bring the strength of monitoring and analytics in the cloud to day-to-day decision-making via machines powered by embedded control systems—software-defined machines. Internet of Things (IoT) connects machines to machines, machines to people, and machines/people to the cloud with an expectation of a continuously improving experience.
Kepware Technologies' KEPServerEX version 5.17 features a scheduler plug-in as well as updates to the local historian plug-in and EFM suite and are designed for the oil & gas, water & wastewater, and power industries.
Control Security: The Tofino Xenon is a versatile, extremely ruggedized security device that ensures maximum network and data protection in the harshest industrial conditions. This is a Control Engineering 2015 Engineers’ Choice honorable mention.
Honeywell Process Solutions' Digital Suites for Oil and Gas is a software package designed to deliver data-driven solutions that are ready for new operations or integrated into existing production environments.