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AI & Machine Learning November 29, 2022

Operationalize machine learning at the edge

Overcome the obstacles facing the oil & gas industry with the Internet of Things (IoT), which has had a major impact.

By Jason McCampbell
AI & Machine Learning October 13, 2021

AI, controls and the future of maintenance

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.

By Mark T. Hoske
AI & Machine Learning May 17, 2021

AI/ML goes mainstream

Artificial intelligence (AI) and machine learning (ML) are moving into operations, in the oil & gas industry and beyond.

By Kevin Parker
AI & Machine Learning September 28, 2020

Artificial intelligence identifies process abnormality causes

When other methods fail, AI is a critical finding and solving tool

By Dr. Hiroaki Kanokogi
AI & Machine Learning July 22, 2020

Drive train with AI, machine learning delivered to refinery

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.

By Siemens Industry, Inc.
AI & Machine Learning March 15, 2020

Doing machine learning the right way

MIT Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable and robust.

By Rob Matheson
AI & Machine Learning March 3, 2020

Machine learning speeds up biofuel production process development

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.

By Jason Daley
AI & Machine Learning July 8, 2019

Three reasons why implementing AI in the oil & gas industry is essential

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.

By Travis Parigi
AI & Machine Learning May 30, 2019

Tackling marine AI applications

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.

By CFE Media
AI & Machine Learning May 30, 2019

Refineries need machine learning to improve operations

Machine learning and other advanced technologies are embedded in advanced analytics software to empower engineers and other experts.

By Michael Risse
AI & Machine Learning February 4, 2019

With AI, zero failure is more than a pipe dream

Improve confidence with a complete view of data.

By Tim Edward and Rob Salkowitz
AI & Machine Learning November 27, 2018

Machine learning streamlines tubular connection analysis

Questions are answered through an application example that applies machine learning to tubular connection analysis

By Brennan Domec, Ph.D., P.E.
AI & Machine Learning September 18, 2018

Contract entered for deepwater Gulf of Mexico project

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.

By Oceaneering
AI & Machine Learning May 21, 2018

Machine learning for engineers from time-series data

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.

By Sanket Amberkar
AI & Machine Learning March 5, 2018

How to get started with edge computing

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.

By Travis Cox, Inductive Automation
AI & Machine Learning November 21, 2017

Customers need process control building blocks and standardization

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.

By Chris Sullivan, Valin Corp.
AI & Machine Learning February 7, 2017

Simulation program for processing, hazardous applications

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.

By KBC Advanced Technologies
AI & Machine Learning January 11, 2017

Simulator for process utility applications

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.

By Schneider Electric
AI & Machine Learning December 15, 2016

What comes after digitization?

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.

By Bob Vavra, CFE Media
AI & Machine Learning December 11, 2016

Tablet technologies in traditional engineering projects

The benefits of tablet-based tools are being realized vs. using traditional methods.

By Timothy Lemoine, P.E. and Scott Byrne, P.E. Matrix Technologies Inc.
AI & Machine Learning December 8, 2016

The new age of data management and analysis in the oil and gas industry

Optimizing oil and gas operations will involve connectivity and the Industrial Internet of Things (IIoT).

By Oil & Gas Engineering
AI & Machine Learning October 11, 2016

Unleash the operators

Companies that allow their operators to act on all the data coming in will be able to save time and money.

By Bob Vavra
AI & Machine Learning October 9, 2016

Data mining and analytics for performance optimization

Exploring data analysis techniques for easy, cost-effective solutions in the oil and gas industry.

By Bert Baeck, TrendMiner
AI & Machine Learning October 8, 2016

Moving at the speed of data

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.

By Oil & Gas Engineering
AI & Machine Learning August 6, 2016

Integrated software package mends a ‘broken’ data system

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.

By Sidney Hill, Jr.
AI & Machine Learning August 3, 2016

Integrating a new strategy

Enterprise Application Integration (EIA) offers data management to better manage costs, process challenges.

By Sidney Hill, Jr.
AI & Machine Learning April 29, 2016

Electronic voiceprint technology designed to improve network security

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.

By Gregory Hale, ISSSource
AI & Machine Learning April 11, 2016

Hydraulically-powered skidding system for heavy loads

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.

By Lifting Gera Higher
AI & Machine Learning April 10, 2016

Drone imagery for oil and gas applications

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.

By Panton Inc.
AI & Machine Learning March 2, 2016

Plant resource manager for data monitoring

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.

By Yokogawa
AI & Machine Learning January 29, 2016

Intelligent automation series part 4: Data analysis systems

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.

By Alex Marcy
AI & Machine Learning January 21, 2016

Protecting FPSOs from arc flash

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.

By Dr. Jay Prigmore
AI & Machine Learning January 15, 2016

Petroleum engineering program receives accreditation

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.

By University of Houston
AI & Machine Learning December 24, 2015

Tunable diode laser spectrometer

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.

By Yokogawa
AI & Machine Learning December 23, 2015

Software development company acquired

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.

By CFE Media
AI & Machine Learning November 30, 2015

Virtual servers maintain uptime, save on Capex

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.

By Eric R. Eissler
AI & Machine Learning November 13, 2015

Using data historians to predict energy trends

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.

By Chris Vavra
AI & Machine Learning October 22, 2015

Research underway to protect energy projects from cyber attack

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.

By University of Houston
AI & Machine Learning August 20, 2015

Extracting full value from operational data

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.

By Sidney Hill
AI & Machine Learning July 1, 2015

Voices of the industry: Well aware of well sites

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.

By Rick Ellis
AI & Machine Learning June 3, 2015

Predictive analytics hit the midstream

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.

By Roberto Michel
AI & Machine Learning May 16, 2015

Kinetic mesh: Wireless networks groomed in the most rugged environments

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.

By Robert Schena
AI & Machine Learning May 1, 2015

Maintaining power in remote locations

UPS systems ensure reliable power for oil and gas applications.

By Michael A. Stout
AI & Machine Learning April 30, 2015

Control virtualization in an era of software-defined machines

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.

By Rich Carpenter
AI & Machine Learning March 2, 2015

Software upgrade for remote communications

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.

By Kepware
AI & Machine Learning October 20, 2014

EC: Tofino Xenon security appliance

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.

By Control Engineering
AI & Machine Learning August 28, 2014

Integrated software for oil and gas industry

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.