Streamline Technology for the Evaluation of Full Field Compositional Processes Midale, A Case Study

摘要

Traditionally, the evaluation of CO_2 flooding processes isperformed using finite difference compositional simulationmodels. However, compositional simulation is impractical formodeling large-scale CO_2 floods due to computational runtimerestrictions. In cases where reservoir heterogeneity andfluid mobility dominate the reservoir recovery mechanism,streamline simulation offers a viable alternative tocompositional simulation. The “reduced” physics instreamline simulation allows field scale CO_2 flood modelingto be feasible, as long as the streamline PVT model can becalibrated such that the streamline model will produceaccurate results for CO_2 injection processes. Using streamlinesimulation allows for the evaluation of multiple full fielddevelopment scenarios that would otherwise not be possibleusing compositional simulation.The objective of the study was to provide CO_2 floodperformance forecasts under various full field developmentscenarios for the Midale field. This paper focuses on themethodology and results from the 1000 well, >400,000 gridblocks, and 45+ years of history streamline simulation of theMidale field. In particular, it discusses the construction andhistory match of the full field model, calibration of thestreamline model with the compositional model anddevelopment of the full field CO_2 forecasts.