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Paper Information

Title: 

DEPOSIT ESTIMATION AND RISK ESTIMATIONBY SEQUENTIAL GAUSSIAN GEOSTATISTICAL SIMULATION METHOD

Type: SPEECH
Author(s): SAEID S.*
 
 *4TH WEST, NO. 9, 5TH SHARESTAN ST., PESIAN ST., VALIE ASR ST., TEHRAN, IRAN, POSTAL CODE: 19868-85919
 
Name of Seminar: PROCEEDING OF IRANIAN MINING ENGINEERING CONFERENCE
Type of Seminar:  CONFERENCE
Sponsor:  IRANIAN SOCIETY OF MINING ENGINEERING
Date:  2005Volume 1
 
 
Abstract: 

Geostatistical Simulation method was said in 1970 by A. Journel and then was developed and vastly used in several industries like mining, environment, oil and gas. The most important properties of Geostatistical Simulation are, producing a group of images which shows a rang of possible events, calculating probable percentage of happening and also determining the risk in each step of process.
Fifty six holes have been drilled in this deposit. 2738 data from 56 drilled holes were gathered for grade estimation and reserve evaluation. Statistical studies have shown a high skewness for grade.
Geostatistical studies have shown that lowest variance is in N135E>45o direction and the highest variance appears in the N45E>0o direction. For simulating via SGS method, data were transferred to standard normal and then simulated 100 times (in this way 100 realization were created).All of the realizations were honor to histogram and variogram of samples, so all realizations are valid.
E-type and probability maps are drawn in 10 meters intervals and grade-tonnage curves were drown for each realization. E-type maps evaluate average 10.7 million tones for whole deposit. grade-tonnage curves were showed the rang of tonnage variance. That is between 10.37 and 12.06 million tones for whole deposit.

 
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