Desenvolvimento de software de estimação geoestatística a partir do algoritmo de krigagem ordinária: uma análise comparativa

Abstract

Seeking to assist the problems of difficulty in presenting undergraduate students in mineral reserve estimation sciences using geostatistics tools effectively, this work presents the process of developing a geostatistical software, called Geostabc, which uses the Python programming language to develop experimental variograms, model theoretical variograms and ordinary krige a region. Tests, whose objective is to analyze the execution capacity of the final software, were made through the qualitative evaluation and comparison of the block models and estimated variation generated by software with those generated by the traditional geoestatistical software, SgeMS. The algorithm presents a reasonable adherence to the SgeMS results, with limited configurations, such as lack of disaggregation algorithm, data transformation, anisotropic configuration of the demand ellipsoid and three-dimensional kriging.