Use Case : Predicting Fouling Factor In Heat Exchanger
Heat Exchanger: - A heat exchanger is a device used to transfer heat between a solid object and a fluid, or between two or more fluids. The fluids may be separated by a solid wall to prevent mixing or they may be in direct contact.
Typical Operational Issues in Heat Exchangers
- Exchanger Fouling: Fouling occurs when any type of particles both organic or inorganic deposits on heat transfer surfaces creating a resistance to energy exchange between hot and cold fluid
- Corrosion: Corrosion due to the salt and acidic nature affects the tubes & may lead to tube leakage affecting the integrity of the exchanger.
- Vibration: Vibration of the tubes may get caused because of flow disturbances.
- In these exchangers, the overall heat transfer coefficient reduces significantly during operation due to fouling.
- The rate of fouling is highly dependent on the properties of the crude blends being processed as well as the operating temperature and flow conditions.
- Thus, leading to decreased energy efficiency of the crude train and the need for maintenance intervention by cleaning, affecting the availability of the crude train
Defour’s Predictive Model
By developing a predictive model using advanced analytics methods which can predict the rate of Fouling and forecast the cleaning cycles required. A solution that can manage & ensure availability of Heat exchanger in case of fouling
- Predictive modeling of fouling factor by using advance analytics
- Proactive planning of maintenance to reduce its impact on availability.
- Maintain a proper heat duty for efficient operations.
- The cleaning cases have been pre-programmed in advance supposing the heat exchangers can be one by one individually cleaned
- Analytics can intelligently tell the maintenance dates which will not only avoid unplanned shut down but will give maximum utilization of parts before maintenance.