APPLIED MINING GEOSTATISTICS

APPLIED MINING GEOSTATISTICS

Since geo-statistics developed by Prof George Matheron in 1960, it has been applied greatly in mining industry for mineral resources evaluation and reserves modeling. Geo-statistical method considers the spatial structure which is represented by variogram model in estimation methods such as polygonal, triangular grouping, inverse distance square, nearest point, etc. Moreover, parameters of variogram model can be drawn on to optimize the drilling pattern or the influence area of sampling points.

Kriging is the most famous geo-statistical method used for reserves estimation, and it has been known as BLUE (Best Linear Unbiased Estimator). Krigging variance can be applied to assess the uncertainly (error) of estimation result.

Beside kriging, there are any other geo-statistical methods employed for spatial characterization and modeling of natural resource such as conditional simulation. Geo-statistics can also be utilizing to evaluate mineral reserves classification.

Objectives

To give knowledge about the concept of regionalized variable that is the principle of geo-statistics method, analysis and interpretation of variogram.
To give understanding about the principle of kriging method and its application for resources modeling and reserves estimation.
To give introduction about the principle of geo-statistical simulation, uncertainly analysis, and their application in natural resources evaluation.
Course Content

Day 1

Review of statistics
Conventional reserves estimation methods
Concept of regionalized variable and calculation of experimental variogram
Day 2

Analysis and interpretation of variogram
Exercise and practice of variogram calculation and fitting model
Concept of variance dispersion
Concept of variance of estimation.
Day 3

Principle of kriging method and its application for reserve estimation
Exercise and practice of kriging method
Introduction and deterministic method for mineral deposit evaluation
Day 4

Uncertainty analysis based on kriging variance and conditional simulation
Optimization of drilling pattern and reserves classification based on geo-statistical method

Peserta

Miners (Engineer, Business Development Manager)
Geo-scientist (Geologist, Geophysicist, Exploration)
New Venture & Field Business Development
Hydrologist
Everybody or professional who want better understanding and to broaden the knowledge from the course subject

Metode

Presentasi
Diskusi
Simulasi
Study Kasus
Evaluasi

Instruktur

Mohamad Nur Heriawan, ST, MT, Ph.D

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