Some successful approaches to quantitative mineral analysis as revealed by the 3rd Reynolds Cup contest
By O. Omotoso, D. Mccarty, Stephen Hillier, R. Kleeberg. 2006
220 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Biomaterials, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/12558154dcea584f45b0f172c2fca67f9a2c4b7b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomaterials
In Mechanics of Materials
Citations in the corpus
- Nano-scale texture and porosity of organic matter and clay minerals in organic-rich mudrocks (2014, unknown): “131 132 133 134 135 136 137 138 139 140 141 2 U. Kuila et al. / Fuel xxx (2014) xxx–xxx JFUE 8220 No.”
- Total porosity measurement in gas shales by the water immersion porosimetry (WIP) method (2014, methodology): “Comparison of RockEval II (a) S2 and (b) S3 parameters measured before and the proprietary Chevron computer program Quanta [46,47].”
- Quantitative phase analysis of bentonites by the rietveld method (2008, methodology): “The application of this new approach in a ‘round-robin’ test for QPA proved that it is capable of determining smectite contents accurately (Omotoso et al., 2006).”
- Mineralogy and sealing properties of various bentonites and smectite-rich clay materials (2007, background): “67 6 Conclusions Determination of the mineral composition of a clay material is not a straight forward analysis, which is illustrated by the fact that there are scientific contests in clay mineral analysis /Omotoso et al. 2006/.”