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

摘要

Traditionally, the evaluation of CO2 flooding processes is performed using finite ifference compositional simulation models. However, compositional simulation is impractical for modeling large-scale CO2 floods due to computational run- time restrictions. In cases where reservoir heterogeneity and fluid mobility dominate the reservoir recovery mechanism, streamline simulation offers a viable alternative to compositional simulation. The “reduced” physics in streamline simulation allows field scale CO2 flood modeling to be feasible, as long as the streamline PVT model can be calibrated such that the streamline model will produce accurate results for CO2 injection processes. Using streamline simulation allows for the evaluation of multiple full field development scenarios that would otherwise not be possible using compositional simulation. The objective of the study was to provide CO2 flood performance forecasts under various full field development scenarios for the Midale field. This paper focuses on the methodology and results from the 1000 well, >400,000 grid blocks, and 45+ years of history streamline simulation of the Midale field. In particular, it discusses the construction and history match of the full field model, calibration of the streamline model with the compositional model and development of the full field CO2 forecasts.