Asset Management

Figure 4: Wireless sensors were installed as part of a complete data-to-desk system, including powerful data visualization and analytics. Courtesy: Emerson
Asset Management December 3, 2019

Maximize production by monitoring erosion

Data from two complementary monitoring technologies enable maximized production rates, even with high entrained solids.

By Jake Davies, Ph.D.
Figure 2: Real-time dashboards provide the information required for each level of the plant’s organization. Courtesy: Yokogawa Electric Corp.
Process Manufacturing November 4, 2019

Profit-driven operations require IT/OT integration

Maximizing process plant profits requires close integration across all levels of an organization.

By Yasunori Kobayashi
Permitting, code compliance and safety are key measures that must be taken into account in a railcar propane terminal build. Terminals must meet expectations and regulations set by NFPA 58, the local authority having jurisdiction (AHJ), and various local and regional entities, including the fire department, city and zoning departments. Courtesy: Superior Energy
Oil and Gas September 30, 2019

Rail-supplied midstream propane terminal maximized for safety

Railcar-supplied terminals make the delivery process more cost-effective for local and regional propane providers.

By Crystelle Markley
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
Analytics 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
AI and 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
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
IIoT, Industrie 4.0 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
Process Manufacturing 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
Analytics 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
Oil and Gas January 8, 2019

The digital fuels the oil & gas industry toward profitable transformation

A panoply of solutions powered by artificial intelligence.

By Subrat Tripathy
Business of Engineering December 17, 2018

ABB to realign around digital industries

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

By Bob Vavra