Abstract: A method of generating secondary data in geostatistics using observed data that: receiving prepared spatial correlation data, primary data, and observed data; generating initial models by performing a geostatistical technique using the spatial correlation data and the primary data; extracting a best representative model using the observed data from the initial models; and creating final models by converging candidate models. The initial models are created using geostatistics from the spatial correlation data and primary data, the representative models are determined using a distance-based clustering method, the best representative model is selected using the observed data, the candidate models near the best representative model are selected as final models depending on a convergence determination criterion, and uncertainty quantification and prediction of future performances may be conducted using the final models.

Abstract: Disclosed herein is a method generating secondary data in geostatistics using observed data. The method for generating secondary data in geostatistics using observed data includes receiving prepared spatial correlation data, primary data, and observed data; generating initial models by performing a geostatistical technique using the spatial correlation data and the primary data; extracting a best representative model using the observed data from the initial models; and creating final models by converging candidate models.