Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ilnur Minniakhmetov"'
Autor:
Karlson, Lance, Jessell, Mark, Keep, Myra, Pirot, Guillaume, Lindsay, Mark, Ilnur Minniakhmetov
Dykes in the Pilbara region of Western Australia were identified using blast hole measure while drill (MWD) data. This allowed researchers to accurately model the thickness and orientation of dykes in active mining pits, which would otherwise require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b676c6dc46b077f195b3b125aa5f179
Publikováno v:
Mathematical Geosciences. 54:23-45
Modern approaches for the spatial simulation of categorical variables are largely based on multi-point statistical methods, where a training image is used to derive complex spatial relationships using relevant patterns. In these approaches, simulated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47a099694a60e6f973ac9e0113869c67
https://doi.org/10.1007/s11004-021-09943-z
https://doi.org/10.1007/s11004-021-09943-z
Autor:
Geoff W. Capes, Russell Seib, Liam V. Alford, Martyn L. Bloss, Ilnur Minniakhmetov, Chris Nielsen, Jack L. Light
Publikováno v:
Mining Technology. 129:187-205
Mining occurs in highly variable, spatially dynamic environments. Existing methods of planning and operations management are insufficient to adequately account for variability. Managing variability...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29e5a1c1d3e2f839ff4893b81e2972ee
https://doi.org/10.1080/25726668.2020.1818029
https://doi.org/10.1080/25726668.2020.1818029
Publikováno v:
Mathematical Geosciences. 51:793-810
High-order sequential simulation methods have been developed as an alternative to existing frameworks to facilitate the modeling of the spatial complexity of non-Gaussian spatially distributed variables of interest. These high-order simulation approa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06d6fb6973eda912200a62d8497785a7
https://doi.org/10.1007/s11004-019-09784-x
https://doi.org/10.1007/s11004-019-09784-x
Publikováno v:
Mathematical Geosciences
High-order sequential simulation techniques for complex non-Gaussian spatially distributed variables have been developed over the last few years. The high-order simulation approach does not require any transformation of initial data and makes no assu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26cd0fdb792e78de8c3967fdabdfadde
https://doi.org/10.1007/s11004-018-9741-2
https://doi.org/10.1007/s11004-018-9741-2
Publikováno v:
Mathematical Geosciences. 49:39-66
Joint geostatistical simulation techniques are used to quantify uncertainty for spatially correlated attributes, including mineral deposits, petroleum reservoirs, hydrogeological horizons, environmental contaminants. Existing joint simulation methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::935738822b332c155664bf3cd77bc71d
https://doi.org/10.1007/s11004-016-9662-x
https://doi.org/10.1007/s11004-016-9662-x
Publikováno v:
Geostatistics Valencia 2016 ISBN: 9783319468181
Relatively recent techniques for categorical simulations are based on multipoint statistical approaches where a training image (TI) is used to derive complex spatial relationships using patterns. In these cases, simulated realizations are driven by t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a2a3983fe71418561c54cb2fd3a49a0
https://doi.org/10.1007/978-3-319-46819-8_19
https://doi.org/10.1007/978-3-319-46819-8_19
Autor:
A. Kh. Pergament, Ilnur Minniakhmetov
Publikováno v:
Mathematical Models and Computer Simulations. 5:294-303
In problems of geological modeling, methods are often employed for generating the implementations of stationary Gaussian fields under preset values in the wells. Basic simulation algorithms for Gaussian processes are the correction of unconditional G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::104832d03ecac355d4f29703181dc013
https://doi.org/10.1134/s2070048213030083
https://doi.org/10.1134/s2070048213030083