Asset Management
Seeq, an advanced analytics application, was used to predict the end-of-run date for a heat exchanger, eliminating a refinery’s unplanned production rate reductions due to heat transfer constraints. Courtesy: Seeq
Asset Management May 30, 2019

Optimizing asset performance in refineries

Advanced analytics use machine learning to simplify user experience, generate process data insights.

By Michael Risse
Machine learning and other advanced technologies are embedded in advanced analytics software to empower engineers and other experts. Courtesy: Seeq
Asset Management 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
Sensing capabilities are retrofitted by attaching what are described as peripheral universal connection (PUC) modules to an engine. Four PUCs can monitor high-speed engine components and characteristics that include power cylinder, valve train, turbo health, main bearings and frame vibration. Courtesy: Apergy
Asset Management March 30, 2019

High-speed engine monitoring IIoT-enhanced

Analytics improve performance of remote assets.

By Kevin Parker
Figure: Rate-predictive control (RPC) uses a pre-set move rate, and tapers the move based on the PV’s predicted (apparent or already manifest) value. The U.S. Patent and Trademark Office (USPTO) has hundreds of patents for process control; as of this writing, RPC is the only one with the claim of being inherently adaptive. Courtesy: APC Performance LLC
Asset Management March 26, 2019

What is rate-predictive control?

Advanced control: A new non-PID control algorithm, rate-predictive control (RPC), is adaptive to changes in process gain, which is helpful given the industry’s difficult history of loop tuning, auto-tuning, and model maintenance. RPC also can serve as a model-less feedback multivariable control algorithm.

By Allan Kern
Figure 2. Providing subject-matter experts with visual representations of data allows them to interact directly to solve problems. Courtesy: Seeq
Asset Management January 29, 2019

Basic steps to take when applying analytics processing

Upstream oil & gas operations improved using data analytics.

By Michael Risse
Combine data science and computing power with sensor-captured data to derive better solutions for complex problems. Courtesy: L&T Technology Services
Asset Management January 8, 2019

The digital fuels the oil & gas industry toward profitable transformation

A panoply of solutions powered by artificial intelligence.

By Subrat Tripathy
Asset Management December 17, 2018

ABB to realign around digital industries

Four divisions focus on robotics, electrification, industrial automation, and motion.

By Bob Vavra
Asset Management December 11, 2018

Digital transformation is crucial for automation, mobility, industrial workforce education

Digital transformation is vital for companies, but a clear business path and plan is needed to make it viable.

By Gregory Hale
Asset Management December 11, 2018

Digital transformation is crucial for automation, mobility, industrial workforce education

Digital transformation is vital for companies, but a clear business path and plan is needed to make it viable.

By Gregory Hale
Image 1. Location information provides spatial context for areas along the pipeline, indicating how environmental factors support or degrade pipeline infrastructure integrity. Courtesy: DMTI Spatial, a Digital Map Products company
Asset Management November 30, 2018

Three ways location intelligence and IIoT make pipeline asset management easier

If the Industrial Internet of Things (IIoT) is integrated with location intelligence it can help midstream oil & gas operations to manage pipeline assets, mitigate potential risks, and optimize new pipeline routes.

By Robert Szyngiel