White paper

Connect’In®

Refinery Data Management & Advanced Analytics and Monitoring Platform

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Connect’In® by Axens is a smart digital platform that simplifies and strengthens refinery data management.

By combining advanced machine learning with deep process engineering expertise, Connect’In® automates the collection, validation, and analysis of complex operational data. This enables refineries to detect anomalies early, identify meaningful trends, and make informed decisions with greater speed and accuracy.

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Whitepaper
Content

Chapter 1 - Comparing apples to apples: Data validation techniques

› Normalization ensures the comparability of data
› Demonstrating normalization in pilot testing
› What is principal component analysis and how does it work?
› Principal component analysis detects drops in catalyst performance
› Principal component analysis validates feed and reformate data

Chapter 2 - Accurate data prevents errors: Two industrial case studies

› Mature pre- and post-combustion technologies
› The reconciliation method improves data quality
› Industrial case study 1: Identifying and correcting flow meter calibration errors
› Industrial case study 2: Avoiding misguided operational adjustments

Chapter 3 - Advanced data analytics to identify catalyst performance issues

› Preprocessing the data
› Three data science methods for catalyst monitoring

What You Can Expect
From This Whitepaper


Through detailed case studies and practical examples, this white paper provides an
in-depth exploration of the process expertise and data science techniques behind
DataVize by Connect’in®.
The core techniques are Axens’ catalyst normalization, principal component analysis (Chapter 1), mass balance reconciliation (Chapter 2) and
advanced analytical methods (Chapter 3).

 

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