BENCHMARKING AN ADVANCED RESERVOIR SIMULATOR

Abstract

Reservoir simulation proved its significance in the petroleum industry to solve reservoir engineering problems and predict future reservoir performance. This work aims to verify and validate a new academic reservoir simulator called QASR by comparing its results with a legacy reservoir simulator results to ensure its reliability using different reservoir model cases. The method is to use a verification and validation approach and run five model cases, including dead oil model case, black oil model case no.1, no.2, and no.3 with capillarity and without capillarity, and MPFA & MFD unstructured black oil model for both simulators for four oil producers and one injector. The results show a match in the performance of the oil reservoir properties behavior of the four oil producers and one injector for both simulators models. The conclusion of this work suggests that the QASR simulator generates the same results as obtained from the legacy reservoir simulator. Hence, the QASR simulator is reliable and provides representative results. The limitation of this work was verifying and validating the simulator on an oil reservoir field only. It is recommended for future studies to verify and validate the QASR simulator with the legacy reservoir simulator considering a gas reservoir field.

Date of Award	2022
Original language	American English
Awarding Institution	HBKU College of Science and Engineering