FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2142162407> ?p ?o ?g. }

• W2142162407 endingPage "44" @default.
• W2142162407 startingPage "23" @default.
• W2142162407 abstract "Abstract. Existing sampling techniques applied within known orebodies, such as sampling along mining drifts, yield element concentration values for larger blocks of ore if they are extended into their surroundings. The resulting average concentration values have relatively small extension variance. These techniques can be used for multifractal modeling as well as ore reserve estimation approaches. Geometric probability theory can aid in local spatial covariance modeling. It provides information about increase of variability of element concentration over short distances exceeding microscopic scale. In general, the local clustering of ore crystals results in small-scale variability known as the nugget effect. Parameters to characterize spatial covariance estimated from ore samples subjected to chemical analysis for ore reserve estimation may not be valid at local scale because of the nugget effect. The novel method of local singularity mapping applied within orebodies provides new insights into the nature of the nugget effect. Within the Pulacayo orebody, Bolivia, local singularity for zinc is linearly related with logarithmically transformed concentration value. If there is a nugget effect, moving averages resulting from covariance models or estimated by other methods that have a smoothing effect, such as kriging, can be improved by incorporating local singularities indicating local element enrichment or depletion. Although there have been many successful applications of the multifractal binomial/p model, its application within the Pulacayo orebody results in inconsistencies, indicating some shortcomings of this relatively simple approach. Local singularity analysis and universal multifractal modeling are two promising new approaches to improve upon results obtained by commonly used geostatistical techniques and use of the binomial/p model. All methods in this paper are illustrated using a single example (118 Pulacayo zinc values), and several techniques are applied to other orebody datasets (Whalesback copper deposit, Witwatersrand goldfields and Black Cargo titanium deposit). Additionally, it is discussed that nugget effects exist in a binary series of alternating mostly gneiss and metabasite previously derived from KTB borehole velocity and lithology logs, and within a series of 2796 copper concentration values from this same drill-hole." @default.
• W2142162407 created "2016-06-24" @default.
• W2142162407 creator A5083547574 @default.
• W2142162407 date "2012-01-05" @default.
• W2142162407 modified "2023-10-01" @default.
• W2142162407 title "Sampling and analysis of chemical element concentration distribution in rock units and orebodies" @default.
• W2142162407 cites W1007439676 @default.
• W2142162407 cites W101480646 @default.
• W2142162407 cites W1041393715 @default.
• W2142162407 cites W12102280 @default.
• W2142162407 cites W1530150123 @default.
• W2142162407 cites W167423917 @default.
• W2142162407 cites W190565870 @default.
• W2142162407 cites W1923156204 @default.
• W2142162407 cites W1991571072 @default.
• W2142162407 cites W1992067580 @default.
• W2142162407 cites W2001512491 @default.
• W2142162407 cites W2004276240 @default.
• W2142162407 cites W2006482983 @default.
• W2142162407 cites W2017628301 @default.
• W2142162407 cites W2036083639 @default.
• W2142162407 cites W2036808363 @default.
• W2142162407 cites W2039182842 @default.
• W2142162407 cites W2044538663 @default.
• W2142162407 cites W2044586796 @default.
• W2142162407 cites W2045302850 @default.
• W2142162407 cites W2045981991 @default.
• W2142162407 cites W2050831540 @default.
• W2142162407 cites W2054367970 @default.
• W2142162407 cites W2060605975 @default.
• W2142162407 cites W2060709477 @default.
• W2142162407 cites W2062854128 @default.
• W2142162407 cites W2068759234 @default.
• W2142162407 cites W2073621729 @default.
• W2142162407 cites W2078206416 @default.
• W2142162407 cites W2086893123 @default.
• W2142162407 cites W2089443104 @default.
• W2142162407 cites W2094547995 @default.
• W2142162407 cites W2096330065 @default.
• W2142162407 cites W2107176593 @default.
• W2142162407 cites W2110429782 @default.
• W2142162407 cites W2115927347 @default.
• W2142162407 cites W2120364963 @default.
• W2142162407 cites W2133732711 @default.
• W2142162407 cites W2140435518 @default.
• W2142162407 cites W2143022286 @default.
• W2142162407 cites W2150576685 @default.
• W2142162407 cites W2157371210 @default.
• W2142162407 cites W2158049117 @default.
• W2142162407 cites W2168670366 @default.
• W2142162407 cites W2334869595 @default.
• W2142162407 cites W2339378878 @default.
• W2142162407 cites W2485902441 @default.
• W2142162407 cites W2909327826 @default.
• W2142162407 cites W605972072 @default.
• W2142162407 cites W67079722 @default.
• W2142162407 doi "https://doi.org/10.5194/npg-19-23-2012" @default.
• W2142162407 hasPublicationYear "2012" @default.
• W2142162407 type Work @default.
• W2142162407 sameAs 2142162407 @default.
• W2142162407 citedByCount "31" @default.
• W2142162407 countsByYear W21421624072012 @default.
• W2142162407 countsByYear W21421624072013 @default.
• W2142162407 countsByYear W21421624072014 @default.
• W2142162407 countsByYear W21421624072015 @default.
• W2142162407 countsByYear W21421624072016 @default.
• W2142162407 countsByYear W21421624072017 @default.
• W2142162407 countsByYear W21421624072018 @default.
• W2142162407 countsByYear W21421624072021 @default.
• W2142162407 countsByYear W21421624072022 @default.
• W2142162407 countsByYear W21421624072023 @default.
• W2142162407 crossrefType "journal-article" @default.
• W2142162407 hasAuthorship W2142162407A5083547574 @default.
• W2142162407 hasBestOaLocation W21421624071 @default.
• W2142162407 hasConcept C105795698 @default.
• W2142162407 hasConcept C106131492 @default.
• W2142162407 hasConcept C121332964 @default.
• W2142162407 hasConcept C125572338 @default.
• W2142162407 hasConcept C127313418 @default.
• W2142162407 hasConcept C133905733 @default.
• W2142162407 hasConcept C134306372 @default.
• W2142162407 hasConcept C140779682 @default.
• W2142162407 hasConcept C159390177 @default.
• W2142162407 hasConcept C16171025 @default.
• W2142162407 hasConcept C178650346 @default.
• W2142162407 hasConcept C2524010 @default.
• W2142162407 hasConcept C2778755073 @default.
• W2142162407 hasConcept C31972630 @default.
• W2142162407 hasConcept C33923547 @default.
• W2142162407 hasConcept C3770464 @default.
• W2142162407 hasConcept C40636538 @default.
• W2142162407 hasConcept C41008148 @default.
• W2142162407 hasConcept C62520636 @default.
• W2142162407 hasConcept C73555534 @default.
• W2142162407 hasConcept C81692654 @default.
• W2142162407 hasConcept C94747663 @default.
• W2142162407 hasConceptScore W2142162407C105795698 @default.
• W2142162407 hasConceptScore W2142162407C106131492 @default.

• next