The objective of this study is to demonstrate the power of integrating rock physics theory, measurement and simulation to improve facies prediction in an unconventional limestone and shale reservoir. Reliable facies prediction is a challenge in unconventional reservoir characterization because of complex geological heterogeneities. Both deterministic and probabilistic approaches are commonly us...

Spatial disagregation is needed when environmental models of climate, air quality, hydrology, etc. require input data at a finer scale than available or when models produce outputs at a coarser scale than required by users. Area-to-Point Kriging is a common geostatistical framework to address the problem of spatial disaggregation from block to point support. Spatial disaggregation using Area-to...

Enterprise data mining applications such as mining government service data often involve multiple large heterogeneous data sources, user preferences and business impact. Business people expect data mining deliverables to inform direct business decision-making actions. In such situations, a single method or one-step mining is often limited in discovering informative knowledge. It would also be v...