Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Oy Leuangthong"'
Publikováno v:
Mining, Metallurgy & Exploration. 38:2055-2073
Mineral resource classification relies on the expert assessment of a qualified person (QP) to determine which blocks of a 3D mineral resource model are classified as measured, indicated, or inferred. The decision is often based on a combination of qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e075340de38330f44887b448c4ca8578
https://doi.org/10.1007/s42461-021-00478-9
https://doi.org/10.1007/s42461-021-00478-9
Publikováno v:
Mining, Metallurgy & Exploration. 37:375-386
Optimizing final pit limits for stochastic models provides access to geologic and economic uncertainty in the pit optimization stages of a mining project. This paper presents an approach for optimizing final pit limits for a highly variable and geolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::028474f26bcd083233862c3b081d7ca8
https://doi.org/10.1007/s42461-019-00165-w
https://doi.org/10.1007/s42461-019-00165-w
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
Autor:
Oy Leuangthong, Marek Nowak
Publikováno v:
Mining Goes Digital ISBN: 9780429320774
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36d11a962086c48e5d5f62696637ac4a
https://doi.org/10.1201/9780429320774-14
https://doi.org/10.1201/9780429320774-14
Publikováno v:
Mathematical Geosciences. 48:559-579
Moving average simulation can be summarized as a convolution between a spatial kernel and a white noise random field. The kernel can be calculated once the variogram model is known. An inverse approach to moving average simulation is proposed, where
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::058515c1913433232caf60cac3de246c
https://doi.org/10.1007/s11004-015-9606-x
https://doi.org/10.1007/s11004-015-9606-x
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 26:247-260
Conventional geostatistics often relies on the assumption of second order stationarity of the random function (RF). Generally, local means and local variances of the random variables (RVs) are assumed to be constant throughout the domain. Large scale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30d61f7116d2c1a43149139645dd9cb8
https://doi.org/10.1007/s00477-011-0501-9
https://doi.org/10.1007/s00477-011-0501-9
Publikováno v:
Journal of Canadian Petroleum Technology. 49:65-74
Summary Geostatistical models of reservoir properties are high resolution with many grid cells; it is impractical to use them directly in flow simulation because of computational costs. Upscaling techniques are applied to average small-scale permeabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba114f363b24e0c653613b06395aa604
https://doi.org/10.2118/141305-pa
https://doi.org/10.2118/141305-pa
Publikováno v:
Lithos. 112:73-82
Understanding uncertainty in resource models is a significant requirement of mineral resource evaluation. Geostatistical simulation is one method that can be used to quantify uncertainty and Sequential Gaussian Simulation (SGS) is one of the easiest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f797321413126ae87d56ac00b9e5e9c
https://doi.org/10.1016/j.lithos.2009.04.047
https://doi.org/10.1016/j.lithos.2009.04.047
Publikováno v:
Mathematical Geosciences. 41:799-816
Many regionalized variables encountered in geostatistical application show a proportional effect, that is, greater variability in high valued areas. The proportional effect is a consequence of the univariate distribution of the variable being conside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78fdc9327d0fff461553b9a649ca688d
https://doi.org/10.1007/s11004-008-9195-z
https://doi.org/10.1007/s11004-008-9195-z
Publikováno v:
Computers & Geosciences. 34:491-502
Fracture models of vein formation can produce realistic training images (TIs) for use in multiple-point geostatistics. Vein formation is modeled by applying flow simulation to a fracture model to mimic the flow of an ore-bearing fluid through fractur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d29686734ac7a7085e4bb4b1d80d5a6c
https://doi.org/10.1016/j.cageo.2007.04.007
https://doi.org/10.1016/j.cageo.2007.04.007