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Process Control

Alarm rationalization at Kuwait National Petroleum Company (KNPC) refineries

The national oil refining company of Kuwait has two state-of-the-art refineries: Mina Abdullah (MAB) and Mina Al-Ahmadi (MAA).

Sponsored: Maximize production with next-gen adaptive process control

In today’s industrial landscape, characterized by economic volatility, evolving regulations, and the need to advance sustainability goals, optimizing process operations and maximizing asset profitability are more critical than ever.

Valmet announces upgrade to D3 distributed control system

Using Valmet’s D3 distributed control system (DCS) automation platform, industrial processors can now integrate numerous reliability and performance enhancements in the first significant update following its acquisition from NovaTech Automation last year.

IATA launches FueIIS: Advanced fuel efficiency analytics solution

The International Air Transport Association (IATA) announced the launch of IATA FuellS, an advanced analytics solution to optimize airline fuel consumption, using aggregated and anonymized flight and fuel data.

Turning turnarounds into a competitive advantage through a digital ecosystem

This article, written by ExxonMobil, details how the company uses a digital reality ecosystem to optimize maintenance and turnarounds.

Lummus, Ferroman partner to digitalize and decarbonize petrochemical furnace operations

Lummus Technology and Ferroman announced an agreement for digitalization and decarbonization of petrochemical furnace operations and delivery of high-performance static process equipment.

Aspentech announces new and expanded capabilities in latest version of aspenONE

Aspen Technology, Inc. introduced new and expanded capabilities now available in aspenONE®, helping customers achieve new levels of operational excellence with expanded Industrial AI throughout the portfolio, additional integration of industrial data management across solutions, and advancements in planning and scheduling capabilities.

What's next? The future of predictive asset performance management

Asset performance management (APM) consists of two key elements: predictive analytics and maintenance strategies. Setting a strategic path for APM depends on understanding the current state of equipment health, and then being able to plan improvement based on predicting what will be needed to maintain and bring assets to an even more efficient state.

Artificial intelligence for engineering a better tomorrow—Part 2

TATA Consulting Engineers Ltd.: Sakthivel, S.

Part 1 of this article—published in the April issue —explored the importance and application of artificial intelligence (AI) techniques in the domain of advanced process design and engineering. Part 2 focuses on the use of AI for autocorrecting engineering drawings.

Digital transformation shapes the oil and gas industry: Achieving unparalleled growth and operational efficiency

KBC, a Yokogawa Company: Gardner, J.  |  Fitzsimmons, S.

The oil and gas industry is facing numerous challenges that are impacting its profitability and future growth.