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