AI & Machine Learning

AI and 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 and 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 and 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 and 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 and 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 and 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 and 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 and 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 and 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 and 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