Fractal/multifractal modeling is a widely used geomathematical approach to capturing different
populations in geochemical mapping. The rationale of this methodology is based on
empirical frequency density functions ...
Mineral resource classification plays an important role in the downstream activities of a
mining project. Spatial modeling of the grade variability in a deposit directly impacts the
evaluation of recovery functions, such ...
Identification of geochemical anomalies is of particular importance for tracing the footprints
of anomalies. This can be implemented by advanced techniques of exploratory data analysis,
such as fractal/multi-fractal ...
Mine planning is a crucial part of all mining industry projects, and nowadays, geometallurgical mapping through advanced computer technologies provides an opportunity to involve metallurgical responses of a deposit into ...
Abildin, Yerniyaz; Madani, Nasser; Topal, Erkan(25th World Mining Congress 2018. Proceedings. Geological Exploration., 2018)
Geometallurgical variables have a significant impact in downstream activities of mining projects. Reliable 3D spatial modelling of these variables play an important role in mine planning and mineral processing, in which ...
Geostatistical modeling of Gold grade (Au) is challenging since the presence of outliers makes the distribution long-tailed and impacts significantly the process of mineral resource evaluation, the mine design and financial ...
This work addresses the problem of the cosimulation of cross-correlated variables with inequality constraints. A hierarchical sequential Gaussian cosimulation algorithm is proposed to address this problem, based on ...
Geometallurgical variables have a significant impact on downstream activities of mining
projects. Reliable 3D spatial modelling of these variables plays an important role in mine
planning and mineral processing, in which ...
3D modelling of geological domains is an essential part of orebody modelling and
resource classification. Conventionally, one applies a wireframing technique, which, in
practice, is quite laborious. An automatic approach ...
Hierarchical or cascade resource estimation is a very common practice when building a
geological block model in metalliferous deposits. One option for this is to model the geological
domains by indicator kriging and then ...
Madani, Nasser; Naderi, Asghar; Biranvand, Bijan; Keshavarz, Nasser(Journal of Petroleum Exploration and Production Technology, 2018-08-14)
Deterministic modeling lonely provides a unique boundary layout, depending on the geological interpretation or interpolation
from the hard available data. Changing the interpreter’s attitude or interpolation parameters ...
Geostatistical simulation has been widely used in mineral resource classification of metalliferous deposits based on international standards such as JORC code. However, the modeling process becomes challenging whenever the ...
In multivariate geostatistics, it is common to have different types of complexities between
variables of interest. In this context, an inequality constraint is an example of complex
bivariate relationships. Unfortunately, ...
Battalgazy, Nurassyl; Madani, Nasser(25th World Mining Congress 2018. Proceedings. Geological Exploration., 2018)
Geostatistical modeling of Iron grade (Fe) in metalliferous deposits is a rationale stage in further analysis of mine design such as mine planning and mineral processing plant optimization. This procedure is becoming ...
The rock quality designation is an important input for the analysis and design of rock structures as reliable spatial modeling of the rock quality designation (RQD) can assist in designing and planning mines more efficiently. ...
Modeling multivariate variables with complexity in a cross-correlation structure is always applicable to mineral resource evaluation and exploration in multi-element deposits. However, the geostatistical algorithm for such ...
Madani, Nasser; Yagiz, S.; Adoko, A.C.; Battalgazy, Nurassyl(Geometallurgy Conference 2018, Back to the Future Cape Town, (6-8 August 2018). The Southern African Institute of M ining and Metallurgy, 2018-08-06)
Several geomechanical variables reflect the characteristics of rock masses and in recent years have been considered as the geometallurgical responses in the mining industry. These variables have a great effect on the ...