UNDERGROUND DEVELOPMENT AND STOPING EFFICIENCY CORELLATION
19
UNIVERSITY OF MINES AND TECHNOLOGY FACULTY OF MINERAL RESOURCES TECHNOLOGY MINING ENGINEERING DEPARTMENT SEMINAR PRESENTATION TOPIC ASSESSMENT OF THE DEVELOPMENT AND STOPING EFFICIENCIES OF A MINING BLOCK - A CASE STUDY BY: SUPERVISOR: OBENG-SIKA JOSEPH MR. EMMANUEL M. BUABA 1
-
Upload
joseph-obeng-sika -
Category
Documents
-
view
103 -
download
2
Transcript of UNDERGROUND DEVELOPMENT AND STOPING EFFICIENCY CORELLATION
UNIVERSITY OF MINES AND TECHNOLOGY
FACULTY OF MINERAL RESOURCES TECHNOLOGY
MINING ENGINEERING DEPARTMENT
SEMINAR PRESENTATIONTOPIC
ASSESSMENT OF THE DEVELOPMENT AND STOPING EFFICIENCIES OF A MINING BLOCK -
A CASE STUDY
BY: SUPERVISOR:OBENG-SIKA JOSEPH MR. EMMANUEL M. BUABA
1
MODE OF PRESENTATIONPROBLEM DEFINITION OBJECTIVESMETHODS USED DATA ANALYSISCONCLUSIONSRECOMMENDATIONS
2
STATEMENT OF PROBLEMUnderground mine development involves the
excavation of series of openings to gain access to the orebody for eventual stope production.
For enhanced stope productivity, development operations is co-ordinated with production stages.
AGA Obuasi Mine has been a vibrant underground mine and a major backbone of the Ghanaian economy for several decades.
3
STATEMENT OF PROBLEM CONT’D
The mine has experienced a decline in its production tonnages for the past few years primarily due to the fall in the rate of advance of secondary development openings.
This project seeks to assess the efficiencies of the secondary development and stoping operations of the Brown Sub Vertical Shaft (BSVS) Mine of AGA.
4
OBJECTIVESTo determine the development efficiency
(Ed) of the block.
To determine the stoping efficiency (ES) of the block.
To identify the relationship between the development and stoping efficiencies of the block.
5
METHODS USEDLiterature review on the subject area
Field visits and interaction with personnel at the stopes in Block 8 Lower of BSVS Mine.
Analysis of collected data
6
DATA ANALYSIS
Fig. 1 Development Cycle in Underground Mines 7
DATA ANALYSIS CONT’D
Fig. 2 Sublevel Stoping Cycle 8
DATA ANALYSIS CONT’D
Janua
ry
Febr
uary
March
April
May June
July
Augus
t
Sept
embe
r
Octobe
r
Novem
ber
Decem
ber
0
50
100
150
200
250
300
FORECAST ACHIEVED AVERAGE ACHIEVED AVERAGE FORECAST
Adva
ncem
ent
(m)
Fig. 3 Development Advance for 2013 9
DATA ANALYSIS CONT’D
Janua
ry
Febr
uary
March
April
May June
July
Augus
t
Sept
embe
r
Octobe
r
Novem
ber
Decem
ber
0
5,000
10,000
15,000
20,000
25,000
FORECAST ACHIEVED AVERAGE FORECAST AVERAGE ACHIEVED
Prod
ucti
on T
onna
ges
(t)
Fig. 4 Production Tonnages for 2013 10
DATA ANALYSIS CONT’D
=
11
DATA ANALYSIS CONT’D
MONTH
ACHIEVED DEVELOPMENT (m) ACHIEVED
TONNAGES (t)
DEVELOPMENT EFFICIENCY
(m3/t)LATERAL VERTICAL
January 141.6 33 18,812 130.54February 175.4 40 15,737 192.98
March 178.8 40 14,974 206.44April 203.7 40 18,715 186.47May 181.7 40 16,315 192.31June 214.1 40 15,333 238.44July 214.6 20 12,182 291.32
August 225.3 19 16,451 225.78September 223.0 34 15,251 246.80
October 239.1 33 16,097 249.47November 265.5 15 13,472 321.73December 213.0 49 17,778 207.57
Table 1 Monthly Development Efficiencies for 2013
12
DATA ANALYSIS CONT’D
MONTH No. of Days ACHIEVED Es (t/employee-
shift)January 31 18,812 37.93
February 28 15,737 35.13March 31 14,974 30.19April 30 18,715 38.99May 31 16,315 32.89June 30 15,333 31.94July 31 12,182 24.56
August 31 16,451 33.17September 30 15,251 31.77
October 31 16,097 32.45November 30 13,472 28.07December 31 17,778 35.84
Table 2 Monthly Stoping Efficiencies for 2013
13
DATA ANALYSIS CONT’D
Januar
y
Febru
ary
March
April MayJune
July
August
Septe
...
October
Nove..
.
Decem
ber50
100
150
200
250
300
350
Development Ef -ficiencyAverage Devel-opment Efficiency
Dev
elop
men
t Effi
cien
cy (
m³/
t)
Fig 5 Development Efficiency Trend for 2013 14
DATA ANALYSIS CONT’D
Janua
ry
Febr
uary
March
April
May June
July
Augus
t
Sept
e...
Octobe
r
Novem
ber
Decem
ber
10
20
30
40
50
60
Stoping Efficiency Average Stoping EfficiencyMaximum Stoping Efficiency Minimum Stoping Efficiency
Stop
ing
Effici
ency
(t/e
mpl
oyee
-shi
ft)
Fig. 6 Monthly Stoping Efficiencies Against Standardised Values 15
DATA ANALYSIS CONT’D
16
24 26 28 30 32 34 36 38 4050
100
150
200
250
300
350
f(x) = − 10.3870285802834 x + 564.347288121788R² = 0.682399192336567
Stoping Efficiency (t/employee-shift)
Dev
elop
men
t Effi
cien
cy (
m³/
t)
Fig 7 Relationship Between Development and Stoping Efficiencies
CONCLUSIONThe average monthly Ed was 224.23 m3/t,
implying for every 10 m advance, a tonne of ore is obtained.
The ES ranged between 24.56 t/employee-shift to 38.99 t/employee-shift.
Ed is inversely proportional to ES.
17
RECOMMENDATIONSJumbos should be employed over the
use of jackhammers.
Development and stope preparations should be done in advance as the current stope is mined to allow for concurrent stoping.
Standard ES and Ed values should be generated against which field values are assessed. 18
THANK YOU
19
