Method for generating secondary data in geostatistics using observed data

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.