Testwork - Revision history

Alex Doll: /* Planning a geometallurgy test program */

2015-05-19T16:47:52Z

Planning a geometallurgy test program

Alex Doll: /* Tests Used By Models */

2012-12-26T19:11:34Z

Tests Used By Models

Alex Doll: /* Testwork and Test Types */

2012-12-18T19:04:35Z

Testwork and Test Types

Alex Doll: /* Tests Used By Models */

2012-12-18T18:40:24Z

Tests Used By Models

Alex Doll: /* Testwork and Test Types */

2012-11-23T23:19:41Z

Testwork and Test Types

Alex Doll: /* Testwork and Test Types */

2012-11-14T19:58:49Z

Testwork and Test Types

Alex Doll: /* Planning a feasibility test program */

2012-11-14T19:57:21Z

Planning a feasibility test program

Alex Doll: /* Planning a feasibility test program */

2012-11-14T19:56:51Z

Planning a feasibility test program

Alex Doll: /* Planning a geometallurgy test program */

2012-11-14T19:55:54Z

Planning a geometallurgy test program

Alex Doll: Created page with "== Testwork and Test Types == All specific energy consumption models depend on laboratory or pilot/full-scale mill results. The exact mixture of tests required varies by met..."

2012-11-14T19:55:11Z

Created page with "== Testwork and Test Types == All specific energy consumption models depend on laboratory or pilot/full-scale mill results. The exact mixture of tests required varies by met..."

New page

== Testwork and Test Types ==

All specific energy consumption models depend on laboratory or pilot/full-scale mill results. The exact mixture of tests required varies by method, but these can be generalized into the follow categories based on the dimensions of the samples tested:
{| class="wikitable" border="1"
|-
! Model
! Fine size
! Medium size
! Coarse size
|-
| Bond/Barratt
| WiBM
| WiRM
| WiC
|-
| SMC
| Mib
| Mia
| Mic &dagger;
|-
| SAGDesign
| WiBM(modified)
| SAGDesign
| —
|-
| CEET 1
| WiBM
| SPI
| —
|-
| CEET 2 ‡
| WiBM
| SPI
| CI
|-
| JK SimMet ‡
| WiBM, ta
| A, b
| —
|}
&dagger; The Mic is not a true measurement of coarse hardness because the measurement is conducted at a medium size and extrapolated based on a database thought to consist of largely competent ores. It is unlikely to represent the hardness of heterogeneous ores where the breakage of coarse sizes is controlled by fractures rather than by the matrix of rock.

‡ CEET 2 and JK SimMet are actually population-balance models rather than regular power models. They tend to be more complicated and have more "tuning factors" that are appropriate to fitting mill surveys as opposed to initial design. Specialized software is needed to operate both models.

== Planning a pre-feasibility test program ==
Pick two of the methods outlined above and select the samples required to satisfy those methods. Identify the major lithology/alteration combinations in each distinct orebody and select 10-20 samples representative of that combination. Make sure each combination and orebody is represented spatially as it is necessary to sample the harder and softer zones that will be present.

Pick one method as the "main" and use the other as the "check". Perform the "main" testwork set on all samples and perform the "check" on half to a third of the samples. The choice of which method to use is largely personal preference on the part of the engineer in charge of the program, but the following guidelines are offered for consideration:
* Orebodies with coarse fractures should use methods that include coarse measurements (Bond/Barratt, CEET 2)
* The WiC measurement requires whole-diameter PQ or HQ diameter core.

The desired outcomes of this level of study are:
* the range of specific power consumption in the overall "likely to be mined" orebody;
* the range of specific power consumption in a likely arbitrary "payback pit" or "upper part" of the orebody;
* a relative ranking of the hardness of the major ore types;
* a milling circuit design that can achieve a desired throughput on a specified proportion (typically 75%) of the samples.

== Planning a feasibility test program ==
The first steps in the procedure are the same as outlined for the pre-feasibility program, except more samples are collected based on geostatistical targets. Perform the "main" and "check" methods on all samples. If the pre-feasibility stage demonstrated good agreement in predictions between the two modelling methods selected, then continue with two; otherwise, add a subset of 30%-50% of a third calculation method (the "tie-breaker").

Have the geostatisticians review grindability results from the pre-feasibility level and see they can establish the "area of influence" of a particular sample using variograms or other techniques. If so, use half that dimension to determine the number of samples required. If not, use the following rules-of-thumb:
* Large tonnage disseminated porphyry deposits: area of influence is 250 m; sample every 125 m in ore.
* Medium tonnage massive sulphide deposits: area of influence is 50 m; sample every 25 m in ore.
* Small tonnage vein-hosted gold deposits: grindability will be controlled by the vein host rock and not necessarily the veins themselves (unless the veins are of mineable width). Sample every 10-20 m down the vein trend where each sample is a mineable-width-long piece of drill core.

Perform duplicates 10%-15% of the "main" method tests in a second laboratory. The results should be within 10% of the original laboratory for that test to be considered "checked by external duplicate".

The desired outcomes of this level of study are:
* entry of specific power consumption values into the mining block model;
* a mill design that can achieve desired throughput (or higher) on the pay-back pit;
* a mine design that uses variable throughput by mining year to "keep the mill full"
* quality control checks on laboratories;
* comparison of throughput estimate distributions by two (or three) methods as another quality control check.

== Planning a geometallurgy test program ==

Where an operating mill exists, establish an orebody-specific relationship between one or two of the methods with the actual operation of the mill. This will involve mill surveys and SAG feed sample collection.

After a relationship to a method is established, conduct a drilling program to target future ore production. The quantity of samples to take generally varies with more samples being taken in nearer-term production and fewer samples in longer-term production. An example program of 158 samples for a CEET 1 model (and the mill benchmarking) is described in [[Bibliography: Specific energy consumption models|Custer et al, 2001]].

The desired outcomes of this program are:
* fitting of specific power consumption models and mill power draw models to the operating plant;
* identification of plant bottlenecks and, optionally, a plant optimization program;
* entry of specific power consumption values into the mining block model;
* an optimized mine plant using variable throughput to "keep the mill full".

@@ Line 1: / Line 1: @@
 [[Category:Testwork]]
 == Testwork and Test Types ==
-The SAGMILLING.COM database is configured to handle the following types of tests (showing the database table name for each):
+The SAGMILLING.COM database is configured to handle the following types of tests and related geological information:
 {{Template:Testwork-listing}}

@@ Line 46: / Line 46: @@
 <sup>&dagger;</sup> The Mi<sub>c</sub> is not a true measurement of coarse hardness because the measurement is conducted at a medium size and extrapolated based on a database thought to consist of largely competent ores.  It is unlikely to represent the hardness of heterogeneous ores where the breakage of coarse sizes is controlled by fractures rather than by the matrix of rock.
-<sup>‡</sup> CEET 2 and JK SimMet are actually population-balance models rather than regular power models.  They tend to be more complicated and have more "tuning factors" that are appropriate to fitting mill surveys as opposed to initial design.  Specialized software is needed to operate both models.
+<sup>‡</sup> JK SimMet is actually a population-balance model rather than regular power model.  CEET 2 is a hybrid having properties of a population-balance model and a power model.  Both tend to be more complicated and have more "tuning factors" that are appropriate to fitting mill surveys as opposed to initial design.  Specialized software is needed to operate both models.
 == Planning a pre-feasibility test program ==

← Older revision		Revision as of 19:58, 14 November 2012
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		+	[[Category:Testwork]]
	== Testwork and Test Types ==		== Testwork and Test Types ==

@@ Line 44: / Line 44: @@
 Where an operating mill exists, establish an orebody-specific relationship between one or two of the methods with the actual operation of the mill.  This will involve mill surveys and SAG feed sample collection.
-After a relationship to a method is established, conduct a drilling program to target future ore production.  The quantity of samples to take generally varies with more samples being taken in nearer-term production and fewer samples in longer-term production.  An example program of 158 samples for a CEET 1 model (and the mill benchmarking) is described in [[Bibliography: Specific energy consumption models|Custer et al, 2001]].
+After a relationship to a method is established, conduct a drilling program to target future ore production.  The quantity of samples to take generally varies with more samples being taken in nearer-term production and fewer samples in longer-term production.  An example program of 158 samples at Goldstrike for a CEET 1 model (and the mill benchmarking) is described in [[Bibliography: Specific energy consumption models|Custer et al, 2001]].
 The desired outcomes of this program are:

@@ Line 8: / Line 8: @@
 ===Tests Used By Models===
 All specific energy consumption models depend on laboratory or pilot/full-scale mill results.  The exact mixture of tests required varies by method, but these can be generalized into the follow categories based on the dimensions of the samples tested:
 == Planning a pre-feasibility test program ==

@@ Line 69: / Line 69: @@
 * entry of specific power consumption values into the mining block model;
 * a mill design that can achieve desired throughput (or higher) on the pay-back pit;
-* a mine design that uses variable throughput by mining year to "keep the mill full"
+* a mine design that uses variable throughput by mining year to "keep the mill full";
 * quality control checks on laboratories;
 * comparison of throughput estimate distributions by two (or three) methods as another quality control check.

@@ Line 64: / Line 64: @@
 * Small tonnage vein-hosted gold deposits: grindability will be controlled by the vein host rock and not necessarily the veins themselves (unless the veins are of mineable width).  Sample every 10-20 m down the vein trend where each sample is a mineable-width-long piece of drill core.
-Perform duplicates 10%-15% of the "main" method tests in a second laboratory.  The results should be within 10% of the original laboratory for that test to be considered "checked by external duplicate".
+Perform duplicates on 10%-15% of the "main" method tests in a second laboratory.  The results should be within 10% of the original laboratory for that test to be considered "checked by external duplicate".
 The desired outcomes of this level of study are:

@@ Line 83: / Line 83: @@
 * identification of plant bottlenecks and, optionally, a plant optimization program;
 * entry of specific power consumption values into the mining block model;
-* an optimized mine plant using variable throughput to "keep the mill full".
+* an optimized mine plan using variable throughput to "keep the mill full".