This field case study focuses on the enhancement of acidizing efficiency in the Alamein-Dolomite reservoir (Western Desert, Egypt) using plain (regular) HCl. The impact of various design parameters and conditions on stimulation efficiency is analyzed using a commercial design simulator (StimCADE), focusing on factors such as acid concentration, injection rate, and dosage. Additionally, an artificial neural network (ANN) is developed from the simulation results and successfully forecasts the productivity index (PI) with a high accuracy. Key findings indicate that optimal acidizing occurs within the temperature range of 200°F to 220°F, with minimal impact above 220°F. A 20% acid concentration is effective across a wide temperature range (200°F–300°F). For maximum skin factor reduction, a 15% concentration with maximum acid dosage is recommended, though cost-effectiveness must be considered. The optimal acid injection rates are 0.5 bpm for concentrations up to 15%, 1.0 bpm for 20%, and 1.5 bpm for 28%. For acid dosages above 200 gal/ft, a rate exceeding 0.5 bpm is beneficial. These findings provide guidelines for the design and implementation of acidizing treatments in oil fields, improving their efficiency and maximizing well productivity for dolomite reservoirs.