Numerical study of optimal oil recovery conditions from black oil reservoirs using the MRST reservoir simulator Numerical study of optimal oil recovery conditions from black oil reservoirs using the MRST reservoir simulator Διπλωματική Εργασία Diploma Work 2025-06-022025enThis thesis explores the field of hydrocarbon reservoir mechanics, focusing on oil recovery techniques through reservoir simulation. The main objective is to investigate the capabilities of the MATLAB Reservoir Simulation Toolbox (MRST) in modeling and analyzing oil production scenarios. The study begins with an examination of the SPE1 benchmark problem, which serves as a standard reference for validating reservoir simulation models. In this context, different production parameters were modified to observe their influence on production performance. Subsequently, new simulation codes were developed specifically for the numerical investigation of the Water Alternating Gas (WAG) method, enabling a more customized study of multiphase flow behavior, pressure and saturation dynamics. Furthermore, the thesis compares the efficiency of various secondary oil recovery methods, including water injection, gas injection and the WAG technique. Simulation results indicated that the WAG method offers the highest oil recovery rates, combining the benefits of water and gas injection while reducing inefficiencies such as trapped oil, early gas or water breakthrough and uneven displacement of oil. In conclusion, our study demonstrates the versatility and efficiency of MRST in reservoir modeling and simulation. It highlights the WAG method as a particularly promising strategy for maximizing hydrocarbon recovery, provided it is carefully calibrated based on reservoir-specific geological conditions. http://creativecommons.org/licenses/by/4.0/Πολυτεχνείο Κρήτης::Σχολή Μηχανικών Ορυκτών ΠόρωνKolipetsa-Tzoumakaris_Dip_2025.pdfChania [Greece]Library of TUC2025-05-30application/pdf7.5 MBfree Kolipetsa Konstantina Κολιπετσα Κωνσταντινα Tzoumakaris Lirois-Leonidas Τζουμακαρης Λιροϊς-Λεωνιδας Giotis Andreas Γιωτης Ανδρεας Varouchakis Emmanouil Βαρουχακης Εμμανουηλ Karatzas Georgios Καρατζας Γεωργιος Πολυτεχνείο Κρήτης Technical University of Crete Numerical study of optimal oil recovery conditions from black oil reservoirs using the MRST reservoir simulator