Presentation Profile
Automated Cold Flow Characterization of Petroleum Products: Enhancing Reliability in Cloud and Pour Point Analysis
Currently Scheduled: 10/14/2025 - 2:20 PM - 2:40 PM
Room: South Lobby
Main Author
Dr. Raj Shah - Koehler Instrument Company
- Angelina Precilla - Koehler Instrument Company
- Joseph Rombaldi - Koehler Instrument Company
- William Streiber - Koehler Instrument Company
- Stefan Lim - Koehler Instrument Company
- Mojan Jafaripour - Koehler Instrument Company
Abstract:
The cold flow behavior of petroleum products, characterized by cloud point and pour point, is a key determinant of operational performance in fuel systems, lubricants, and pipeline transport. Traditional manual testing methods for these properties are prone to variability and inefficiency, potentially compromising quality control and leading to cold-weather operational failures such as fuel filter plugging or mechanical seizure. To address these challenges, automated instrumentation offers a robust solution for standardized and precise cold flow evaluation. This study demonstrates the application of an Automatic Cloud and Pour Point Analyzer, which employs optical detection for cloud points and an automated tilt method for pour point determination. The system’s integrated cooling, wireless test heads, and touch-screen interface minimize human error while improving repeatability and throughput. By comparing automated results with conventional methods, this work highlights the technology’s advantages for both conventional and biodiesel formulations, where accurate cold flow data are essential for preventing equipment failure and ensuring winter-grade fuel compliance. The adoption of such systems can enhance testing efficiency, support regulatory adherence, and optimize product formulation for diverse climatic conditions—ultimately reducing downtime and maintenance costs across the petroleum supply chain.
