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[V8N2] – Part IV – Hybrid Model to Integrate FPBM and AI/Machine Learning for Fuel Blending
[V15N2] – The Economics of Fuel Blending: Balancing Cost and Quality
[V19N2] – Estimating Lab Analysis Costs and Maximizing Savings in Refineries: Understanding the True Cost of Laboratory Analysis in Refining Operations
PRESS RELEASE Offsite Management Systems LLC Announces Strategic Collaboration with Ecopetrol S.A., Colombia, to Develop Cutting-edge Hybrid AI / Machine Learning Model Technology for...
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 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...