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[V8N2] – Part IV – Hybrid Model to Integrate FPBM and AI/Machine Learning for Fuel Blending
[V20N2] – Refinery Profitability: Where You Are And Where You Can Be. The Disclosure Starts With A Survey…
Press Release-Collaboration with Ecopetrol, Columbia
[V8N1] – Is AI/Machine Learning Model for the Fuel Blending System A Viable Alternative? – Part III
[V3N2] Introducing “Free eLearn” – Your Path to Learning Excellence!
Introduction: The High Cost of Data Inefficiency in Refining Blends The refining sector is on the brink of significant changes, with the accelerating pace of...
🟧 Introduction Introducing the Robust Excel-Based Non-Linear Blend Optimizer by OMS eLearning Academy—a state-of-the-art solution designed for downstream refining professionals. This optimizer combines Linear Programming...
Laboratory analyses are critical for ensuring product quality and regulatory compliance in refineries. However, traditional lab-based quality control methods can be expensive, time-consuming, and labor-intensive....
🟧 Introduction The ability to accurately measure and monitor tank quality in real time has become a game-changer for refineries and chemical plants worldwide. While...
🟧 Introduction Welcome to the latest edition of the OMS Newsletter! As we enter February 2025, we continue to explore the evolving landscape of the...
1. New Additions to the OMS Family: This year, we had the privilege of welcoming four incredibly talented individuals to the OMS family. Their expertise...