Abstract
This chapter deals with the fundamentals concepts which are the basis for the geostatistical inference algorithms described in Chap. 3. It presents the concepts related with Random Fields and Random Variables and how a bi-point statistics framework (i.e. the variogram model) can be used to characterize the spatial continuity pattern of a given property of interest. After which the different linear estimation models based on Kriging are presented. This chapter includes the necessary and basic theoretical background on geostatistics used in the following chapters. The methodologies described in this part of the book are illustrated with real application examples and best-practices.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Azevedo, L., Soares, A. (2017). Fundamental Geostatistical Tools for Data Integration. In: Geostatistical Methods for Reservoir Geophysics. Advances in Oil and Gas Exploration & Production. Springer, Cham. https://doi.org/10.1007/978-3-319-53201-1_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-53201-1_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-53200-4
Online ISBN: 978-3-319-53201-1
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)