Multiscale Reservoir Modeling for CO2 Storage and Enhanced Oil Recovery Using Multiple Point Statistics
New applications are being developed in the field of reservoir modeling to answer questions about CO2 storage and CO2 enhanced oil recovery (EOR). The EERC and the PCOR Partnership Program, in collaboration with the U.S. Department of Energy, have been constructing 3D geocellular models for the purposes of studying CO2 storage and CO2 EOR. These efforts are gaining importance as we continue to investigate methods in climate change mitigation and greenhouse gas reduction. Several geostatistical approaches are available to assist in reducing uncertainty with various data sets. If the depositional environment is well understood, an optimized facies model can be constructed by using a unique method called multiple-point statistics (MPS). MPS is a tool incorporated within high-performance reservoir-modeling software capable of 3D geocellular model construction, such as Schlumbergers Petrel software, and is proving effective in estimating reservoir facies in unsampled locations. The MPS method allows the user to incorporate a preexisting knowledge of the spatial relations and proportions of geologic constituents in the creation of a more realistic facies model. Reservoir models constructed for the applications of CO2 storage and EOR at the EERC have used MPS to capture realistic geologic heterogeneity. Geologic heterogeneity controls porosity and permeability distributions, which, in turn, control preferential fluid flow, pressure response and, ultimately, CO2 storage efficiency and capacity.View/Download Document
Event/Meeting Information
EAGE Petroleum Geostatistics 2015 Conference
9/7/2015
Biarritz,