Loading...
Loading...

Go to the content (press return)

The impact of the compositional nature of data on coal reserve evaluation, a case study in Parvadeh IV coal deposit, Central Iran

Author
Molayemat, H.; Torab, F. M.; Pawlowsky, V.; Morshedy, A. H.; Egozcue, J. J.
Type of activity
Journal article
Journal
International journal of coal geology
Date of publication
2018-03
Volume
188
First page
94
Last page
111
DOI
https://doi.org/10.1016/j.coal.2018.02.003 Open in new window
Repository
https://www.researchgate.net/publication/322956335_The_impact_of_the_compositional_nature_of_data_on_coal_reserve_evaluation_a_case_study_in_Parvadeh_IV_coal_deposit_Central_Iran Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S0166516217310273 Open in new window
Abstract
Coal proximate analysis is a form of typical compositional data, commonly represented with constant sum. Although the direct geostatistical modeling of compositional data provides apparently reasonable outputs, the results are always exposed to inconsistency and non-optimality. In this paper, we compare the compositional and noncompositional approaches to assess the problems caused by neglecting the compositional nature of data. The ultimate goal is to attain an accurate approach for coal reserv...
Keywords
Coal quality estimation, Compositional modeling, Ilr coordinates, Tabas coalfield, Tonnage - grade curves
Group of research
COSDA-UPC - COmpositional and Spatial Data Analysis

Participants

  • Molayemat, Hossein  (author)
  • Torab, Farhad Mohammad  (author)
  • Pawlowsky Glahn, Vera  (author)
  • Morshedy, Amin Hossein  (author)
  • Egozcue Rubi, Juan José  (author)