Multi-scale Reservoir Modeling for CO2 Storage and Enhanced Oil Recovery Using Multiple Point Statistics

esearch Center (EERC) and Plains CO₂ Reduction Partnership Program, in collaboration with the U.S. Department of Energy, have constructed 3-D geocellular models for the purpose of studying CO₂ storage and CO₂ enhanced oil recovery (EOR). These efforts are gaining importance as we continue to investigate methods in climate change mitigation and greenhouse gas reduction. The models created in these efforts range in size from small-scale pinnacle reefs up to formation- and basin-scale, spanning various reservoir types and lithologies, and many have utilized the multiple point statistical (MPS) method in the facies modeling process. This method allows the incorporation of geologic understanding, in the form of a training image, to better capture reservoir heterogeneity. Some complex reservoirs may be divided into multiple ‘geobody’ regions for the MPS process, with each region having a unique training image and facies distribution. The various facies models constructed in these CO₂ storage and CO₂ EOR investigations are used to constrain petrophysical property distributions, which are then used to analyze total and effective pore volumes and viability for CO₂ injection. Dynamic simulations are run to assess CO₂ storage capacity, efficiency, utilization, and consideration of potential as a CO₂ storage resource.