Challenges
We are seeking a solution that enables the optimization of the company’s procurement decisions through market data analysis, scenario simulation, and management of price, contractual, and volume risks. The tool should include functionalities/modules such as gas price forecasting, development of hedging scenarios, contract portfolio management, price risk management, operational recommendations, and reporting.
We are looking for a solution that enables real-time prediction of the flash point of diesel fuel during the blending process in a tank fed by multiple component streams with varying quality parameters. The goal is to develop a predictive algorithm that uses process data from each stream to provide a continuous forecast of the flash point in the currently blended tank.
The solution should be based on a soft sensor approach, leveraging genetic algorithms or other AI techniques capable of processing both qualitative and quantitative variables from each incoming stream. The expected outcome is increased accuracy in flash point prediction, faster operational response, and improved quality control of diesel blending – all achieved without relying on delayed laboratory results.
