Zobrazeno 1 - 4
of 4
pro vyhledávání: '"David F. Machuca-Mory"'
Publikováno v:
Natural Resources Research. 28:291-307
Incorporating locally varying anisotropy (LVA) in geostatistical modeling improves estimates for structurally complex domains where a single set of anisotropic parameters modeled globally do not account for all geological features. In this work, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b381047d218e2487ba5920caa9c324a
https://doi.org/10.1007/s11053-018-9384-5
https://doi.org/10.1007/s11053-018-9384-5
Publikováno v:
Mathematical Geosciences. 45:31-48
A common assumption in geostatistics is that the underlying joint distribution of possible values of a geological attribute at different locations is stationary within a homogeneous domain. This joint distribution is commonly modeled as multi-Gaussia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c968779a71f35154b6bbc85d0bdf5be
https://doi.org/10.1007/s11004-012-9428-z
https://doi.org/10.1007/s11004-012-9428-z
On the challenge of using sequential indicator simulation for the estimation of recoverable reserves
Publikováno v:
International Journal of Mining, Reclamation and Environment. 22:285-299
Despite its flexibility when compared with parametric methods, there are significant problems with sequential indicator simulation (SIS) for continuous variables. These come from the successive construction of the local conditional distributions by i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a743b952a3a8dc658d7a32e19d90b15a
https://doi.org/10.1080/17480930802012584
https://doi.org/10.1080/17480930802012584
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfc3118391b5e68bc9421a747641dfbd
