Browsing by Author "SAAD DJABALLAH Wiam, BRAHIMI Aicha Zina, ENC: Dr. BOUSSOUF Ibtissam, Dr. BENDIB Riad"

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    Neural Network Modeling and Development of an Application for Optimizing Flare Gas Recovery Module in Skikda Refinery RA1K
    (20th August 1955 University – SKIKDA Faculty of Technology Department of Petrochemistry, 2025-07-06) SAAD DJABALLAH Wiam, BRAHIMI Aicha Zina, ENC: Dr. BOUSSOUF Ibtissam, Dr. BENDIB Riad
    This memory presents the modeling and optimization of the Flare Gas Recovery (FGR) module, focusing on the GTK unit at Skikda Refinery RA1K, using artificial neural networks (ANNs) and process simulation. The goal is to develop a predictive model and a MATLAB application to make the unit smarter, helping engineers reduce gas flaring, improve energy efficiency, and make better operational decisions. The operational goal is to maximize LPG recovery in unstabilized naphtha, while minimizing energy losses and emissions related to flaring. The GTK module was simulated with ASPEN HYSYS to understand its behavior and generate reference data. Real operational data from the DCS were used to train and test the ANN model. The developed application integrates this model with a user-friendly interface for prediction and scenario analysis. Results confirm the accuracy of the approach (R² > 0.99) and its potential to minimize flaring losses. This work shows how combining simulation and AI tools can support more sustainable refinery operations