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[V21N2] – The 20-Issue Power Series You Didn’t Know You Needed!
[V15N1] – From Manual to Automation: Technology’s Role in Fuel Blending
[V12N2] – Part V – AI/ML System Architecture for an Analyzer-Less Fuel Blending
OMS Conducts 3 Days course for Ecopetrol
Press Release-Collaboration with Ecopetrol, Columbia
In the last article, we discussed the evolution of fuel blending from manual to evolving analyzer-less systems. The story will not be complete if we...
Fuel blending (gasoline, diesel, and fuel oil) is a critical process in the petroleum industry, where various components are mixed to achieve the desired fuel...
In the last two articles, we discussed the First Principles Blending Model (FPBM) and AI / Machine Learning if they can deliver the best blend in the most profitable...
In the last article, we discussed the Gold Standard First Principle Blending Model (FPBM), its pros and cons, and the reason for its failure in...
First Principles Models aim to describe the behavior of a system from fundamental physical laws or principles, often using mathematical equations and computational methods. These...
The refining industry faces significant challenges in sustaining profitability due to the unpredictable fluctuations in the global crude oil market, which are influenced by supply...