Report Buzwagi
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Transcript of Report Buzwagi
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ACKNOWLEDGEMENT
I sincerely give my special thanks to our almighty God for being so good and keeping me
healthy.
Special thanks should also go to my project supervisor Eng. Paul Gongo for his wonderful
assistance to the completion of this project.
I also give extraordinary thanks to the management of the Buzwagi Gold mine for the provision
of this wonderful opportunity of providing me a placement of conducting my final year project. I
explicitly acknowledge the unlimited support and enthusiastic cooperation which I received from
the Mining Manager Mr. Neil Colobourne, the senior Engineer Mr. Godfrey Ayisi, Engineer
Onesphory Gebra and Engineer Sebastian Joseph.
Lastly I would like to be grateful to my family and friends for their support.
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DEFINITION OF TERMS
Cycle time is a Time used by a machine to complete a single unit of operation.
Density is the ratio of the mass of a substance to its volume, and it can be calculated by dividing
the mass by the volume.
Digital imaging is a method of making images without the use of conventional photographic
film. Instead, a machine called scanner records visual information and converts it into a code of
ones and zeroes that a computer can read.
Fleet is a number of loading and hauling equipment working and managed as single unit
Mine dispatch is a center of information between the machines and equipment operation,
performance and mine production.
Payload is the quantity of load that a truck, or other vehicle that can carry, often expressed in
terms of weight or volume.
Software is a computer program; instructions that cause the hardware or the machines to do
work.
Stockpile is a collection and storage of large amounts of material.
Surveying is amathematical science used to determine and delineate the form, extent, and
position of features on or beneath the surface of the earth for control purposes.
Swell factor is the percentage increase of material volume when are removed from in situ.
Terrain is a ground or a piece of land seen in terms of its surface features or general physical
character, especially for crossing it.
Truck factor is percentage of the rated capacity that a truck is assigned to carry at a particular
time and particular conditions.
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ABBREVIATIONS
3DThree Dimension
BCMBank Cubic Meter
DEMDigital Elevation Model
DGMDigital Ground ModelDGPSDifferential Global Positioning System
DHMDigital Height Model
DTEMDigital Terrain Elevation Model
DTMDigital Terrain Model
EDMElectronic Digital Measurement
GCPGround Control Point
GNSSGlobal navigation satellite system
GPSGlobal Positioning System
HEXHydraulic excavator
ILRIS- Intelligent Laser Ranging & Imaging System
JDSJigsaw Dispatching SystemKPIKey Performance Indicator
LCDLiquid Crystal Display
LCMLoose Cubic Meter
MHzMegahertz
OHTOff- Highway Truck
SAESociety of Automotive Engineers
TINTriangulated Irregular Network
UHFUltra High Frequency
VHFVery high Frequency
WLWheel Loader
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1.0 INTRODUCTION
1.1 LOCATION AND ACCESSIBILITY:
The Buzwagi Project is located in Kahama District, Shinyanga region, in northwest Tanzania.
The mine lies on the divide defined by boundaries of the Hindagi river watershed, which drains
toward Lake Victoria, and the Kagozi river watershed, which drains toward Lake Tanganyika.
The mine is located approximately 6 km east of Kahama town along the tarmac road, and
approximately 100 km west of the town of Shinyanga.
Figure 1 : A map showing the location of Buzwagi mine.The Buzwagi open pit is located on land for which Pangea Mineral Limited (PML) acquired a
prospecting license in 1992. Between 1995 and 2000, this land was optioned to and explored by
Anmercosa Service (East Africa) Limited. In 2003, Pangea initiated its own exploration
program. Because of this exploration program, a design was made in 2004 to move the project
into development phase and in 2008 started the mining operations.
1.2 GEOLOGY AND RESERVES.
Buzwagi is hosted in the Nzega Belt, which consists of the lower portion of the Nyanzian
system. This belt is composed of basalts and intermediate volcanic intruded by granitoid masses.
The regional structure elements are dominated by a deep seated structural trend referred to as the
Nzega shear.
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This shear comprises numerous second and third order structures in which the Buzwagi deposit
is likely hosted in one of these supplementary shears. Buzwagi mine operates a single open pit
mine; the size of the pit is approximately 0.9 km wide and 1.2 km length. Production began in
may 2009, expecting to generate 250 thousand to 260 thousand oz of gold per year in its first full
five years of operation. Proven and probable reserves at Buzwagi are 3.3 million oz of gold and
79 million kg (175 million lb) of copper. The expected mine life based upon proven and probable
reserves is about 15 years. With continued exploration indicating additional reserves, it is
anticipated that the life of mine may be extended.
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PROJECT TITLE:
A COMPARISON OF TONS MINED ON A MONTHLY BASIS MEASURED AGAINST
THE TONS REPORTED FROM SURVEY VOLUMES AT BUZWAGI GOLD MINE
2.0 PROBLEM STATEMENT
In mining industry, it is vital to get correct production figures as they are presented before
stakeholders and different shareholders. At Buzwagi mine, production figures are tracked and
recorded on daily basis by using a jigsaw dispatching system and at the end of the month are
compared to the monthly surveyed volumes.
A big difference has been noticed to exist between the production reports and the survey reports
whereas figures reported by dispatcher are higher than those reported by the surveyors.
2.1 MAIN OBJECTIVE
To investigate the causes of the variation and the best way to ensure the two reports are
presenting the same figures.
2.2 SPECIFIC OBJECTIVES
To determine the effectiveness of the jigsaw dispatching system
To review the material density and the swell factor
To compare the tons from production against surveyed volumes
2.3 SCOPE OF THE STUDY
The project will deal with blasted and mined material from the pit for the purpose of mine
production at Buzwagi mine.
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5.0 DATA COLLECTION
Data were collected at buzwagi mine site from the pit and technical service office. Data collected
were the following;
5.1 Survey volumesSurveyed volumes of material mined from the pit for the period of nine months from May
2010 to March 2011 were collected from the survey section of the technical service
department at buzwagi mine. The data were extracted from the spreadsheet saved in the
computer.
5.2 Dispatch volumesTwo types of data were collected for the volumes of material mined and recorded at
dispatch office. The first data was the data captured into the computer system directly by
the jigsaw dispatching software and the second data was the one recorded in spreadsheet
by the dispatcher, this is the data obtained through a two way radio communication
between the dispatcher and the truck operators. The data collected was for nine months
from May 2010 to March 2011
5.3 Truck factorsEstablished truck factors for the nine months from May 2010 to March 2011 were
collected from the Dispatch Engineer office
5.4 Material densityInsitu and loose density of material was done in the Geology laboratory at Buzwagi mine
site and on the pit respectively. The insitu density was found by application of
Archimedes principle in the laboratory whereas the loose density was done using
standard measuring of volumes and masses of the samples of loose materials collected on
the pit. Sampling was done from different parts of the pit to have a good representative of
the entire pit.
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5.4.1 Insitu density experiment
Equipments;
Digital weighing balance
Bucket of water
A rope
Procedures
i. A digital weighing balance was calibrated to zero reading
ii. A sample of insitu rock was measured on the digital weighing balance and its
weight was recorded as weight in air
iii. A sample was immersed full in water and its weight is measured on the digital
weigh balance, the weight was recorded as weight in wateriv. Density of a sample rock was calculated from the formula;
v. Procedures ( i-iv ) were repeated for all samples collected from different parts
of the pit.
5.4.2 Loose density
Equipments;
Mass balance
A 20cm x 20cm x 20cm can
Plastic bags
spade
Procedures
i. sample of blasted material was filled into the can using a spade
ii. the plastic bags were measured for their masses
iii. sample materials were taken from the can and filled into the plastic bag and
measured for their mass
iv. density was calculated using the formula;
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v. Procedures (iiv) was repeated for different samples collected from different
parts of the pit.
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6.0 DATA ANALYSIS
6.1 Effectiveness of Jigsaw dispatching systemAn analysis of the jigsaw dispatching system was done by comparing the total BCM captured by
the system with the dispatching information obtained through a two way radio communication.
The capturing of production data of the jigsaw dispatching system is not consistency with the
capturing of data using a two way communication between the dispatcher and the truck
operators. In most of the times it was found that the dispatch spreadsheet data were higher than
the jigsaw captured data, this was found to be caused by ineffectiveness of the signals
transmission from the transmission tower to the trucks. The problem is facilitated by the shape of
the pit where the deepest parts of the pit are obstacles to the signals transmission.
300,000.00
400,000.00
500,000.00
600,000.00
700,000.00
800,000.00
900,000.00
1,000,000.00
BCM'S
Months
DISPATCH SPREADSHEET BCM Vs JIGSAW BCM
DISPATCH BCM
JIGSAW CAPTURE
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6.2 Comparison of production BCM against surveyed BCMThe total reported monthly production BCM were compared with the monthly reported survey
BCM and the chart () was obtained.
Of the eleven months of data collected, it shows that eight months presented higher production
BCM than surveyed BCM whereas three months presented higher survey BCM than production
BCM.
300,000.00
400,000.00
500,000.00
600,000.00
700,000.00
800,000.00
900,000.00
1,000,000.00
BCM
MONTHS
DISPATCH BCM Vs SURVEY BCM
DISPATCH BCM
SURVEY BCM
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6.3 Material densities and percentage swellsInsitu densities and loose densities of materials from different locations of the pit were analyzed
to obtain chart and chart below.
Insitu densities of material vary from one location of the pit to another as indicated in the chartabove where the densities are 2.51t/m
3, 2.73t/m
3and 2.48t/m
3for stage1, stage2 and stage3
respectively. Average loose densities were found to vary in the same sense too. This is caused by
different rock types and layers found in Buzwagi pit.
Calculation of percentage swell
( )
2.51
2.73
2.48
1.60 1.621.49
0.00
0.50
1.00
1.50
2.00
2.50
3.00
1 2 3
DEN
SITIES
STAGES
INSITU AND LOOSE DENSITIES
INSITU
DENSITYLOOSE
DENSITY
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Considering found densities of fresh rocks from experiment
insitudensity
loosedensity %swell
stg2 2.73 1.62 69
stg1 2.51 1.60 57
stg3 2.55 1.53 67
AVERAGE 2.595934972 1.584618056 64
Assumptions made
Mined blocks with known dimensions to produce insitu volumes (BCM) of 200, 300, 400, 500,
600, 700, 800 and 900.
Sample calculation;
Loose volume = insitu volume x % swell
= 200 x 1.64
= 328
Survey tons = insitu volume x insitu density
Production tons = loose volume x density
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Applying average insitu density for survey and production tons;
AVERAGE
INSITU
DENSITY
SURVEY
BLOCK
VOLUME
LOOSE
VOLUME
SURVEY
TONS
PRODUCTION
TONS
%
INCREASE
2.59 200 328 519.19 851.47 642.59 300 492 778.78 1277.20 64
2.59 400 656 1038.37 1702.93 64
2.59 500 820 1297.97 2128.67 64
2.59 600 984 1557.56 2554.40 64
2.59 700 1148 1817.15 2980.13 64
2.59 800 1312 2076.75 3405.87 64
2.59 900 1476 2336.34 3831.60 64
Percentage increase from production to survey tons is equivalent to the average percentage swell
of material indicating that material swell has direct impact on tons comparisons. The approach is
not recommended because it applies only insitu density and affected by extreme density and
swell variations of material mined over a particular time.
0
500
1000
1500
2000
2500
3000
3500
4000
4500
1 2 3 4 5 6 7 8
TONS
MINED BLOCKS
SURVEY AND PRODUCTION TONS PROVIDED SAME INSITU DENSITY IS APPLIED
SURVEY TONS
PRODUCTION TONS
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Applying averaged insitu and loose densities for surveyed and production tons respectively
INSITU
AVERAGE
DENSTY
LOOSE
AVERAGE
DENSITY
SURVEY
BLOCK
VOLUME
LOOSE
VOLUME
SURVEY
TONS
PRODUCTION
TONS
%
INCREASE2.59 1.58 200 328 519.18 519.75 0.10
2.59 1.58 300 492 778.78 779.63 0.10
2.59 1.58 400 656 1038.37 1039.51 0.10
2.59 1.58 500 820 1297.96 1299.39 0.10
2.59 1.58 600 984 1557.56 1559.26 0.10
2.59 1.58 700 1148 1817.15 1819.14 0.10
2.59 1.58 800 1312 2076.74 2079.02 0.10
2.59 1.58 900 1476 2336.34 2338.90 0.10
This is the best scenario that yields a difference of 0.1% between the production tons and the
surveyed tons
0
500
1000
1500
2000
2500
1 2 3 4 5 6 7 8
TONS
MINED BLOCKS
SURVEY AND PRODUCTION TONS PROVIDED INSITU AND LOOSE DENSITIES ARE
APPLIED
SURVEY TONS
PRODUCTION TONS
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7.0 CONCLUSION
It has been concluded that the percentage swell of material is direct proportional to the difference
of the production tons and survey tons provided the same average insitu density is applied in
conversion of BCM to tons. The material with higher density difference between the insitu and
loose density will produce higher percentage swell of the material hence bigger variation of the
two ton figures and if the material has small difference of the two densities will have lower
percentage swell and hence lower variation of the two tons. In this case the swell factors must be
included in the conversion of BCM to tons.
However, it has been concluded that for the correlation purpose of the two ton figures, it is
necessary to consider the loose density in the determination of production tons for the fact that
the data considered in production are for loose materials. Doing so will eliminate the effect of
percentage swell of material.
8.0 RECOMMENDATION
It is recommended that in order to obtain true production tons, the swell factor of materials
should be considered in conversion of BCM to tons. The consideration can be achieved through
measuring of material densities before and after blast. The average of the densities should berecorded for the entire month so as to be used in the calculation of monthly mined tons.
It is further recommended that the densities to be recorded should be only taken from mined
blocks so as to obtain actual densities of mined materials with no inclusion of unmined materials.
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9.0 REFERENCES
Bettina pflipsen, 2006, volume computation, a comparison of total station versus laser
scanner and different software, A masters thesis, University of Gavle, Switzerland.
H. Murat Yilmaz and Murat Yakar, computing of volume of excavation areas by digital
close range photogrammetry, The Arabian Journal for Science and Engineering, Volume
33, Number 1A, Aksaray University, Engineering Faculty Geodesy and Photogrammetry
Department, Aksaray, Turkey.
http//books.smenet.org/Surf_Min_2ndEd/sm-ch06-sc05-ss02-bod.cfm
http//www.answers.com/
JC Najor and PC Hagan, Mine production scheduling within capacity constraints, The
University of New South Wales (UNSW), Sydney
Karim Mleli, Fleet management study using Jigsaw dispatching system at Buzwagi gold
mine with the aim of improving productivity and operating performance, Field report,
2010, Buzwagi Gold Mine, Tanzania.
Kemp-Engineering survey and setting out services-page 1,
www.kempengineeringsurvey.co.uk
M. A. R. Cooper and S. Robson, "Theory of Close Range Photogrammetry", Close Range
Photogrammetry and Machine Vision, 1996, p. 9.
Modular Mining Systems. 2003, whttp://www.mmsi.com/modular/news, Company
News, Arizona,USA.
Osanloo, M. , Gholamnejad, J. and Karimi, B.(2008) 'Long-term open pit mine
production planning: a review of models and algorithms', International Journal of Mining,
Reclamation and Environment, 22: 1, 335, First published on: 02 July 2007
Wenco International Mining Systems. 2003, http://www.wencomine.com/products. asp,
Product Overview, Vancouver, Canada.
www.optech.ca/www.ilris-3d.com
http://www.kempengineeringsurvey.co.uk/http://www.kempengineeringsurvey.co.uk/http://www.optech.ca/www.ilris-3d.comhttp://www.optech.ca/www.ilris-3d.comhttp://www.optech.ca/www.ilris-3d.comhttp://www.kempengineeringsurvey.co.uk/ -
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10. APPENDICES
Appendices 1: Monthly BCM recorded
DISPATCHBCM JIGSAW CAPTURED BCM
SURVEYED BCM
Mar-11 736,239.00 660,226.00
631,696
Feb-11 668,906.13 714,371.00
660,992
Jan-11 677,912.42 764,607.00
729,867
Dec-10 776,836.36 772,655.00
650,997
Nov-10 668,738.64 652,708.00
610,104
Oct-10 471,709.62 472,659.00
402,888
Sep-10 479,151.36 479,636.00
402,888
Aug-10 789,386.80 782,259.00
575,516
Jul-10 941,618.44 928,243.00
947,068
Jun-10 846,602.61 832,345.00
659,009
May-10 808,049.52 814,379.00
698,483
Appendices 2: Monthly truck factors
MONTH HD 1500 HD 785
April 2010 46 30
May 2010 45.36 29.16
June 2010 46.83 30.1
July 2010 44.86 28.84
August 2010 44.96 28.84
September 2010 44.96 28.84
October 2010 43.35 27.87
November 2010 43.88 28.21
December 2010 47.16 30.32
January 2011 44.62 28.68
February 2011 44.95 28.89
March 2011 43.0 28.0
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Appendices 3: Insitu densities
STAGE 1 (FRESH ROCK)
WEIGHT IN AIR(g)WEIGHT INWATER(g) SPECIFIC GRAVITY
1 724 425 2.42
2 990 600 2.54
3 1036 646 2.66
4 1098 646 2.43
AVERAGE 2.51
STAGE 2 (FRESH ROCK)
1 653 380 2.39
2 763 509 3.003 716 460 2.80
4 466 296 2.74
AVERAGE 2.73
STAGE 3 (FRESH ROCK)
1 773 463 2.49
2 1224 760 2.64
3 1136 683 2.51
AVERAGE 2.55
STAGE 3
(TRANSITION
ROCK)
1 1296 694 2.15
2 1120 690 2.60
3 1170 694 2.46
2.41
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Appendices 4: Loose densities
STAGE 1 (FRESH ROCK)
WEIGHT (Tons) VOLUME (Cubic meter) DENSITY (Tons/cubic meter)
1 0.01240 0.008 1.552 0.01165 0.008 1.46
3 0.01300 0.008 1.63
4 0.01430 0.008 1.79
AVERAGE 1.60
STAGE 2
WEIGHT (Tons) VOLUME (Cubic meter) DENSITY (Tons/cubic meter)
1 0.0123 0.008 1.54
2 0.0141 0.008 1.763 0.0124 0.008 1.55
AVERAGE 1.62
STAGE 3 (Fresh)
WEIGHT (Tons) VOLUME (Cubic meter) DENSITY (Tons/cubic meter)
1 0.012 0.008 1.5
2 0.011 0.008 1.38
3 0.0137 0.008 1.71
AVERAGE 1.531.49
STAGE 3 TRANSITION
WEIGHT (Tons) VOLUME (Cubic meter) DENSITY (Tons/cubic meter)
1 0.011 0.008 1.38
2 0.0107 0.008 1.34
3 0.0107 0.008 1.34
4 0.01115 0.008 1.39
AVERAGE 1.36
AVERAGE FOR ENTIRE STAGE 3 1.45