New Workflows Reduce Forecast Cycle Time,Refine Uncertainty

摘要

The application of global optimization methods to reservoir simulation through assisted history matching(AHM)and dynamic uncertainty quantification workflows has been heralded as a"game changer"and is significantly reducing the cycle time for history matching and production forecasting of reservoir models,as well as helping to quantify dynamic uncertainty.Reliable reservoir-simulation models are the foundation of the decision-making process when it comes to field development planning.Subsurface-asset teams constantly strive to improve their understanding of the reservoir on the assumption that the more accurately their model matches past reservoir behavior,the more value it will have in making future development decisions.But with dozens of parameters influencing flow in the reservoir,and most of them changing in three dimensions throughout the field,there are many possible solutions that can match past production profiles.