Environment & Safety Gas Processing/LNG Maintenance & Reliability Petrochemicals Process Control Process Optimization Project Management Refining

Process Control

Sponsored Content: Demystifying industrial AI agents: What we can learn from Iron Man

An industrial agent is an agile and robust software entity that intelligently represents and manages the functionalities and capabilities of an industrial unit. This Digital Feature dives deep into industrial agents, and how they can be used to optimize plant operations.

BGEN signs five-year contract with INEOS O&P UK

BGEN has announced that it has signed a five-year contract with the petrochemical manufacturer INEOS O&P UK. BGEN will provide a range of services to help INEOS optimize plant efficiency at its site in Grangemouth, Stirlingshire.

Digital Feature: WASCO’s Energy Efficiency Roadmap: Leveraging software and AI for operational excellence

WASCO: M. Khaleel
Aspen Technology: E. Gebesy  |  S. Sheikh

This case study details how WASCO introduced an innovative Energy Efficiency Roadmap that uses proprietary simulation software and artificial intelligence to address the critical challenges of operational costs and carbon emissions in an liquified petroleum gas plant.

Seeq, AVEVA partner to provide best-in-class enterprise data management services, analytics and AI

Seeq announced a strategic partnership with AVEVA. Core to the partnership is the native integration between the two companies’ platforms that will simplify access to operational data in context, enabling chemical, energy, metals, mining, and utility organizations to improve their operations and production outcomes.

Digital Feature: Delivering the next-generation workforce by harnessing AI to propel chemical engineering into the future

This article details the strategy behind a proprietary AI platform that empowers chemical industry SMEs like process operations, controls, engineering, and economics – a workforce that may not have traditional programming skills – to work with cutting edge AI algorithms.

Widely used engineering symbols and drawings Standard ISA-5.1 updated by ISA

The International Society of Automation (ISA) — the leading professional society for automation — has published a new update of its most widely used standard, the internationally recognized ANSI/ISA-5.1, “Instrumentation and Control Symbols and Identification.”

Digital Feature: Refiner improves operational technology risk measurement and management: A Case Study on addressing the cyber risks in the oil and gas industry

This case study details how a U.S.-based Fortune 50 petroleum refiner used proprietary technology to improve operational technology (OT) cybersecurity. By automating asset inventory and vulnerability assessments, the company reduced manual processes, enhanced visibility into cyber risks and improved safety, ultimately saving millions of dollars in program costs.

Truly effective reliability requires predictive maintenance

Emerson: Kleinubing, R.

To navigate this new digital world, organizations must find ways to bring in new technologies to support the limited personnel they have, but without increasing the complexity of those people’s jobs or overwhelming them with raw data they are not trained to use. The solution is to implement a predictive maintenance technology plan founded on a boundless automation vision of seamlessly moving contextualized data wherever it is needed.

Alarm management and operator training: Case studies for a sulfur recovery unit

Fluor Daniel India Pvt. Ltd.: Singh, P. V.  |  Chaudhuri, D.

This article will provide an in-depth insight of an operator training simulator, as well as the basic features of creating a virtual plant in which the operators are allowed to train and test various operating scenarios. It will also highlight the inbuilt scenarios inside the model—most importantly, the startup, shutdown and specific upset scenarios.  

Prompt engineering: Extracting operational excellence knowledge from AI—Part 1

CEPSA: Larraz, R.

Prompt engineering is an emerging discipline at the intersection of AI and process engineering and will undoubtedly contribute to the hydrocarbon and green molecules processing industries. Parts 1 and 2 (October 2024) of this article explore and provide a glimpse of how this technique can help process engineers and operators to manage the power of advanced AI models to optimize processes, contribute to solve complex problems, and improve operational efficiency in refineries and petrochemical plants.