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

Information Systems

EnerMech partners with KENT for FAST project at ExxonMobil's Fawley petrochemical complex

EnerMech has become the integrated service contract supplier of choice to KENT Energies Ltd. for ExxonMobil’s new low-sulfur diesel facility at its Fawley Petrochemical Complex, located in Hampshire, UK.

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.  

Gulf Energy Information and Hydrocarbon Processing announce strategic partnership with Chempute Software

Gulf Energy Information, a leading B2B media and market intelligence provider in the international energy industry, and its flagship publication, Hydrocarbon Processing, are pleased to announce a strategic partnership with Chempute, a renowned provider of engineering software solutions.

Deliver sustainable benefits through site-wide process digital twins

Saudi Aramco: Bazuher, E. A.
KBC, a Yokogawa Company: Chellani, J.

Refiners have used offline process models for decades. The next generation of solutions is anticipated to operate automatically, integrate with legacy systems and provide transparency site-wide.  

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.  

KBC launches Visual MESA Energy Management System 7.2 for energy and emissions management

KBC (A Yokogawa Company) has launched its Visual MESA® Energy Management System 7.2 (VM-EMS), a comprehensive energy digital twin suite designed to meet the developing needs of modern energy management in processing plants across the hydrocarbon supply chain and other industrial verticals.

Control Station launches System Health Monitoring offering, delivers industry-spanning operational insights

Control Station has launched System Health Monitoring (SHM), a tiered service offering that leverages intelligence captured by the company’s PlantESP Loop Performance Monitoring solution.

Imubit launches closed-loop AI optimization solution powered by reinforcement learning

Imubit, a global leader in closed-loop artificial intelligence (AI) optimization, has launched its Optimizing Brain™ Solution and Industrial AI Platform.

Cybersecurity: A discussion on the EU's NIS2 Directive with ABB's Global Cybersecurity Lead Tobias Nitzsche

Hydrocarbon Processing sat down with Tobias Nitzsche, Global Cyber Security Practice Lead, ABB, to discuss the European Union’s (EU’s) NIS2 Directive—the EU-wide legislation on cybersecurity—and how it will affect the hydrocarbon processing industry.