Using lower-fidelity models to accelerate production strategy optimization of a pre-salt carbonate reservoir

Abstract Reservoir simulators are essential for forecasting and production optimization, but their use in complex fractured reservoirs is often limited by high computational cost. This work proposes a streamlined method for building lower-fidelity, fit-for-purpose models (LFMs/FPMs) that preserve key reservoir behaviors while significantly reducing runtime. In this work, we found that, while a typical lower-fidelity model is faster and has lower reliability, a chosen FPM keeps close reliability