Practical Incorporation of Multivariate Parameter Uncertainty in Geostatistical Resource Modeling

摘要: There is a need to bridge theory and practice for incorporating parameter uncertainty in geostatistical simulation modeling workflows. Simulation workflows are standard natural resource recovery modeling, but the incorporation of multivariate into those challenging. However, objectives can be met without considerable extra effort programming. The sampling distributions statistics comprise core theoretical notion with addition spatial degrees freedom account redundancy spatially correlated data. Prior estimated from resampling. Simulation-based transfer prior results posterior which updated by data conditioning model domain extents configuration. theoretically tractable practical achieve, providing realistic assessments accounting large-scale uncertainty, often most important component impacting project. A simulation-based workflow demonstrates joint intrinsic shale properties ultimate gas accounts given current well locations estimates on global all modeled properties. This achieved transferring through conditional simulations.