PulseTrendingJournal ClubResearchersJournalsExplore
Instagram
HomeTrendingJournal ClubExplore
Synapse
⌘+K
Synapse
June 4, 2026Applied Computing and GeosciencesOpen Access

Data Transformation for Geostatistical Simulation of Grades of Correlated Metals in a Complex Deposit

View Full Paper
Ask AI
Bookmark
Share

Authors

TNTshimangadzo NDOUECEmmanuel John M. Carranza

Discussion

Loading...

Member takes

Overview

Randomized trial evaluates the performance of data transformations for simulating metal grades, indicating persistent challenges.

Key Points

  • The study aims to evaluate how multivariate transformations affect geostatistical simulations of correlated metals' grades.
  • Evaluated PPMT and MAF within the turning bands simulation method (TBSIM) on Fe and Al2O3 data from Carajás deposits
  • Assessed statistical characteristics and inter-variable dependencies after back-transformation
  • Used summary statistics, histogram reproduction, global inter-variable correlation, and spatial cross-correlation for performance evaluation.
  • MAF consistently reproduced statistical characteristics of Fe, notably its mean
  • PPMT effectively reproduced Al2O3 but showed unreliable performance for Fe
  • Global inter-variable correlations and spatial cross-correlation were not preserved after simulation and back-transformation.

Cite This Study

NDOU et al. (2026) studied this question.

synapsesocial.com/papers/6a2115bdd499ed480b16ebd4https://doi.org/10.1016/j.acags.2026.100359
View Full Paper
Ask AI
Bookmark
Share