Geostatistics and Data Analytics

Catalog description

Credits 3. 3 Lecture Hours. Introductory and advanced concepts in geostatistics and data analytics for petroleum reservoir characterization by integrating static (cores, logs, seismic traces) and dynamic (flow, transport) data; specific topics include: data partitioning (classification), data correlation (parametric, non-parametric regression), variograms and spatial data analysis, kriging and cokriging, conditional simulation, non-Gaussian approaches (indicator methods, simulated annealing, genetic algorithms) and data driven methods (RF, SVM and GBM). Prerequisite: Introductory course in statistics or approval of instructor.