Abstract
This chapter presents statistical methods and their applications to geoscience data analysis. These include descriptive statistics and change of scale problem in characterizing rock and petrophysical properties, and mitigations of sampling bias in exploration and production.
Some geoscientists consider statistical applications to geosciences as part of geostatistics. For a historic reason, geostatistics is more focused on spatial aspects of statistics, while classical statistics are mainly applications and extensions of probability theory. However, geostatistics still follows the rules of probability and statistics. Hence, this and the next three chapters have two purposes: applications of statistical analytics to geoscience data and providing basic mathematical foundations for geostatistics.
Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write
H. G. Wells
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Ma, Y.Z. (2019). Statistical Analysis of Geoscience Data. In: Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling. Springer, Cham. https://doi.org/10.1007/978-3-030-17860-4_3
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