Abstract The objective of this work is to introduce a robust algorithmic tool for predicting the future performance of multi-sector oil reservoirs under formation-damage conditions using material balance principles. The proposed approach aims to improve the reliability of performance forecasting by estimating key reservoir parameters such as original oil in place (OOIP), aquifer strength, gas-cap size, and transmissibility between reservoir sectors while accounting for production variations caus