Effective monitoring of a debutanizer column is essential for maximizing the LPG content in the top ...
Resources Listing AI
Use Cases
Jun 1, 2025 7:17:15 PM
Debutanizer Column (Distillation Column) monitoring AI
Effective monitoring of a debutanizer column is essential for maximizing the LPG content in the top product and optimizing overall distillation performance. Continuous monitoring of the C4 fraction in the bottom products ensures process efficiency and quality control. Implementing a predictive model to estimate the butane fraction in the bottoms enhances performance by allowing for real-time adjus...
Use Cases
Jun 1, 2025 7:16:18 PM
%O2 Prediction in the Flue Gas in Furnace Operations AI
In the domain of fired heater operations, accurate monitoring and prediction of oxygen levels in flue gases play a critical role in ensuring operational efficiency and safety. This project focuses on conducting correlation and trend analysis to identify key process parameters (KPIs) that influence oxygen concentrations in flue gases. By examining factors such as fuel composition, combustion temper...
Use Cases
Jun 1, 2025 7:10:45 PM
Order fill projection AI
Predicting the end-of-cycle (EOC) for a heat exchanger due to fouling is a persistent challenge for refineries. By proactively forecasting when a heat exchanger requires cleaning, refineries can implement risk-based maintenance planning, optimizing processing rates, and reducing operating and maintenance costs. Historically, engineers had to manually combine data entries in spreadsheets, spending ...
Use Cases
Jun 1, 2025 6:58:44 PM
Batch Tracking and Cycle Time Analysis AI
Reducing cycle time in batch manufacturing is challenging due to the complexity of defining and analyzing process phases to identify variations and idle times between batches. Additionally, pinpointing areas for process and capital improvements requires detailed understanding and analysis. Effective batch tracking and cycle time analysis are essential to uncover inefficiencies, minimize idle times...
Use Cases
Jun 1, 2025 6:54:39 PM
Filter Membrane Predictive Maintenance AI
Ineffective Clean-In-Place (CIP) procedures or fouling of filter membranes can lead to various operational challenges, including increased cycle times, lost yield, or poor product quality. Additionally, detecting and modeling long-term deterioration in filter membrane performance poses significant challengess. This use case focuses on developing predictive maintenance strategies for filter membran...
Use Cases
Jun 1, 2025 6:17:54 PM
Asset Utilization (OEE) Monitoring AI
Asset Utilization (OEE) Monitoring aims to analyze the performance of batch processes by identifying time spent in various phases. This analysis helps reduce unproductive process time, such as during cleaning and maintenance, and highlights differences in manual re-cleaning events between shifts. By quantifying opportunities to reduce waiting times, OEE monitoring supports improved efficiency and ...
Use Cases
Jun 1, 2025 6:16:43 PM
Identification, Categorization, & Reporting of Performance Losses AI
Manufacturing companies must systematically track, categorize, and report performance losses to identify inefficiencies and justify improvement projects. This process enables the identification of underperforming elements within the production line and provides a basis for targeted enhancements. By doing so, companies can streamline operations, enhance productivity, and allocate resources more eff...
Use Cases
Jun 1, 2025 6:12:23 PM
Accelerate Biopharmaceutical Scale-Up AI
Accelerating the scale-up of biopharmaceutical production is essential for bringing new therapies to market more quickly and cost-effectively. Predicting cell growth accurately at scale, based on data from laboratory and pilot studies, is a complex task. This complexity is compounded by the need to integrate data from various sources. Streamlining this scale-up process can significantly reduce dev...
Use Cases
Jun 1, 2025 6:08:52 PM
Heat Exchangers Performance Monitoring AI
Predicting the end-of-cycle (EOC) for a heat exchanger due to fouling is a persistent challenge for refineries. By proactively forecasting when a heat exchanger requires cleaning, refineries can implement risk-based maintenance planning, optimizing processing rates, and reducing operating and maintenance costs. Historically, engineers had to manually combine data entries in spreadsheets, spending ...
Use Cases
Jun 1, 2025 6:05:00 PM
Pump Health Monitoring AI
Inability to detect and anticipate pump performance issues can result in prolonged shutdowns, revenue loss, and potential environmental or safety hazards.
In the domain of fired heater operations, accurate monitoring and prediction of oxygen levels in flu...
Predicting the end-of-cycle (EOC) for a heat exchanger due to fouling is a persistent challenge for ...
Reducing cycle time in batch manufacturing is challenging due to the complexity of defining and anal...
Ineffective Clean-In-Place (CIP) procedures or fouling of filter membranes can lead to various opera...
Asset Utilization (OEE) Monitoring aims to analyze the performance of batch processes by identifying...
Manufacturing companies must systematically track, categorize, and report performance losses to iden...
Accelerating the scale-up of biopharmaceutical production is essential for bringing new therapies to...
Predicting the end-of-cycle (EOC) for a heat exchanger due to fouling is a persistent challenge for ...
Inability to detect and anticipate pump performance issues can result in prolonged shutdowns, revenu...