Bangkok Post - Petrochemicals to see growth
As domestic and global economies heal, the petrochemicals industry will enjoy healthy demand growth for the next two years, but greater emphasis on productivity
technologies is needed to seize this growth. Read this article to learn how refineries, looking to improve their productivity, must bring scheduling activities under a single platform in order to streamline their workflow and achieve a greater view of the entire petroleum supply chain.
Case Study - Optimization of Refinery Middle Distillate System
This article appeared in the 2018 American Fuel & Petrochemical Manufacturers (AFPM) Conference Daily (Oct 2018) that highlighted the Operational Planning, Control and Automation Technologies session during which Chevron talked about the closed-loop, real-time coordination of a refinery middle distillate system, the benefits and key takeaways.
Industrial Data is a Goldmine Building a Sustainable System of Success
To achieve operational excellence, process manufacturers must quickly and systematically address the root causes of asset reliability problems, which include inadequate operating procedures, poor design, and improper scheduling of production.
Strategies to Manage Asset Performance
When Lightning Strikes Twice
After an electrical storm stopped gas production at one of its plants, SABIC executives and reliability engineers turned to Aspen Fidelis Reliability to calculate the probability of it—or a similarly debilitating event—happening again. Read this article from Plant Services to learn more.
Modelling for ULSD Optimisation
This article (published in the Q2 2011 issue of PTQ Magazine) describes how the on-line coordination and optimisation of refinery process units led to a 10% increase in middle distillate production without investing in process units or equipment.
HP Executive Viewpoint: A Vision for the Refinery of 2030
In this article, AspenTech's Ron Beck provides a vision for the refinery of 2030 and how it will play a key role in the sustainable, highly-diversified, and integrated energy enterprise of the future.
Processing Magazine: Why Time's Up on Preventive Maintenance
In this article, Robert Golightly explains the limitations of traditional maintenance practices and how new advancements in predictive maintenance are pushing assets and equipment to the limits of performance. Learn how today's industry leaders are using low-touch machine learning to extract value from design and operations data to predict when and where failures will occur.