This study measured carbon monoxide (CO) gas levels following underground blasting at a gold mine in Indonesia to estimate safe re-entry times. CO gas detectors were placed at various distances from blast sites and recorded CO levels over time. The data showed wide variation in the ratio of CO produced to explosives used. Effective diffusion coefficients were calculated by matching measurement curves to diffusion equations. A relationship was found between effective diffusion coefficient and the ratio of tunnel length to diameter. This relationship was used to estimate the time needed for CO levels to drop below safety thresholds of 25 ppm before workers re-enter areas after blasting.
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STUDY ON ESTIMATION OF RE-ENTRY TIME AFTER BLASTING IN UNDERGROUND MINING PT CIBALIUNG SUMBERDAYA
1. 1
STUDY ON ESTIMATION OF RE-ENTRY TIME AFTER BLASTING IN UNDERGROUND MINING
PT CIBALIUNG SUMBERDAYA, INDONESIA
Sandro Hanaehan SIRAIT1
, Nuhindro Priagung WIDODO1
, Mikha SIMANJUNTAK2
1
Department of Mining Engineering, Faculty of Mining and Petroleum Engineering,
Institut Teknologi Bandung, Indonesia
2
PT Cibaliung Sumberdaya, Indonesia
Abstract
CO gas is one of the few gases that are produced by blasting that is poisonous that must be removed before workers
start the next job. The time required to remove the blasting gas is called re-entry time. The study was conducted at
PT Cibaliung Sumberdaya (PT CSD) at Cibitung area and Cikoneng area. CO gas were measured using Riken Keiki
Gas Detector GX-2003 which has limit of 500 ppm, 1 ppm precision, and data recording capacity up to 10 hours for
10-second intervals. The measured data showed the ratio between the amount of carbon monoxide produced (l) by
the amount of explosives used (kg) had variation from 2.7 l/kg until 71 l/kg. The measurement curves are then
approached using matching curve so that E or effective diffusion coefficient at each location can be obtained. E with
L/d or hydraulic diameter ratio of the distance has relationship in the equation E=0.1595 (L/d) +5. E that is
produced by that equation are later used to estimate the time CO gas required to reach 25 ppm before the gas exit to
atmosphere through the main fan.
I. INTRODUCTION
This research is intended to study the spread of CO
gas produced by blasting so that this research
methodology can be used as consideration of re-entry
time estimation. The time required to remove the
blasting gas is called re-entry time.
This research was conducted in underground gold
mine PT Cibaliung Sumberdaya (PT CSD). PT CSD
is an underground gold mine in Indonesia using cut
and fill mining method. PT CSD has two mining
areas: Cikoneng area and Cibitung area that each has
132 kW main fan which draws fresh air into the mine
area through the portal.
Government regulation in KEPMEN 555 states limit
the levels of CO in an average time of 8 hours is 50
ppm. This value is a consideration for re-entry time or
the time needed to reach the levels of gas that does
not endanger workers.
To be able to estimate the re-entry time, authors used
matching curve method based on advection diffusion
equation. This study is the beginning of a research
study on the re-entry time in underground mines in
Indonesia. The results are site-specific for PT CSD
underground mine on the current state of research.
Along with the development of mines results the
existing ventilation data should be updated.
II. METHODOLOGY
In this study, CO gas are measured by gas detector
Riken Keiki GX-2003 which has an accuracy of 1
ppm, 500 ppm limit measure, and time interval 10
seconds.
To be able to measure the displacement of CO gas
generated during blasting, the gas detector is placed
and turned on before blasting takes place, ie
when charging or filling activities explosives. After
30 minutes after blasting or when the smoke
clearing is completed or when smoke was not seen
anymore authors inspect these locations
Gas detector placed in a safe location
from flyrock and also from water seeping in the walls
of the tunnel. Gas detector hung
on wiremesh or longstrap to be stuck strongly and not
easily fall as in Figure 1.
Figure 1 Placement of the gas detector
Data that has been stored by the gas detector and then
transferred to computer using an infrared
device using software GX-2003 datalogger. The data
is then transferred to Microsoft Excel sheet.
The equation state of concentration solutions for
advection-diffusion phenomena in one-dimensional
uniform flow is expressed as follows:
√
(
Ì…
)
Where,
C (x, t) = concentration at position x and time t
V = total substance in its original state (x = 0, t = 0)
t = time after the gas produced (s)
2. 2
A = cross-sectional area of the flow (m2
)
x = distance from the point of gas produced (m)
Å« = average velocity (m/s)
E= effective diffusion coefficient
The flowchart of this research is shown in Figure 2.
Figure 2 Flowchart of this research
III. DATA ANALYSIS
3.1 Profile of PT CSD Ventilation Systems
Measurement of the quantity and distribution of air in
the ventilation system of PT CSD are presented
in Table 1 and Figure 3.
Table 1 Distribution of the air quantity PT CSD
No Description
Air flow
(m3
/s)
Percentage
1 Intake air
Portal Cikoneng 169.3 100%
2 Exhaust air
a. Main Fan Cikoneng 86.3 50.97%
b. Main Fan Cibitung 83 49.76%
A) B)
Figure 3 Percentage air flow distribution of PT CSD;
(A) Air enters from Portal Cikoneng; (B) air exit
through Cikoneng and Cibitung Shaft
KEPMEN 555 regulates minimum air quantity based
on the capacity of the machine and the number of
employees that each work site underground mine
requires 0.03 m3
/s for each employee and for each
horse power of the diesel engine takes 0.05
m3
/s. Calculation of the minimum amount of air based
activities are presented in Table 2. HP stated amount
of horse power diesel engines and n states the number
of workers. CKN means Cikoneng mining area. CBT
means Cibitung mining area. Dec means decline area.
Table 2 The amount of air flow required and supplied
No Location
Diesel
Machine
Type
HP n
Air
Required
(m3
/s)
Air
Supplied
(m3
/s)
1 CKN 1135
LHD
Caterpillar
R1300
182 1 9.13 10.96
2 CKN 1065
LHD Atlas
Copco
Wagner
82 1 4.13 4.56
3 CKN 1120
Agi Truck
Terex
152 1 7.63 8.34
4 CBT 1061
Shotcreter
SIKA
74 2 3.77 2.25
5 CBT 1101
Backhoe
Loader
Caterpilar
87 1 4.38 3.45
6 CBT Dec
Jumbo Drill
Terex
MK35HE
154 2 7.77 6.43
3.2 CO Gas Measurement Result
Gas detector placed at a specific location in
accordance with the location of the
desired heading distance. Variation in the distance to
the blasting face is made of at least 20
meters. Heading blasting in the area are Cikoneng and
Cibitung area, as shown in Figure 4. Main ventilation
scheme are shown in Figure 5.
Measurements on the same heading with different
distance variation performed at different blasting
activities. Example of a measurement scheme blasting
locations with distance variation is expressed
in Figure 6.
182.
1
100
%
Intake Air
(m3/s)
Portal
Cikoneng
86.3
51%83
49%
Exhaust Air (m3/s)
Main Fan
Cibitung
Main Fan
Cikoneng
3. 3
Figure 4 CO Gas Measurement Scheme
CO gas data were measured and plotted as a graph of
concentration versus time. The chart shows
Gaussian curve as shown in the example (1101
Cibitung area) in Figure 7. The gas detector has limit
to measure CO that is 500 ppm, so that the data above
limit can’t be detected. Authors predict that value
using matching curve as we can see in figure below in
[1101 CBT-1] curve line.
Figure 7 Measurement results graphs
From the available data, the amount of CO gas
produced from any blasting can be obtained. The
amount of CO gas produced to the amount of
explosives are plotted in the graph is expressed
in Figure 8.
Figure 8 Number of explosives by the amount of CO
gas
Figure 5 PT CSD underground mine scheme
0
100
200
300
400
500
600
700
0 5 10 15 20
CO(ppm)
Time (minute)
50 meter 115 meter 165 meter
0
500
1000
1500
2000
2500
3000
3500
4000
0 20 40 60 80 100
CO(l)
Explosives (kg)
[1101 CBT-1]
CO Volume= 1,300,000 cc
Å«=0.37 m/s; L/d= 11.2
E=7 m2
/s
[1101 CBT-2]
CO Volume= 180,000 cc
Å«=0.39 m/s; L/d= 25.7
E=10 m2
/s
[1101 CBT-3]
CO Volume= 764,000 cc
Å«=0.55 m/s; L/d= 36.8
E=15 m2
/s
4. 4
Figure 6 PT CSD main ventilation scheme
The measured data showed the ratio between the
amount of carbon monoxide produced (l) by the
amount of explosives used (kg) had variation from 2.7
l/kg until 71 l/kg with the average ratio is 18.7 l/kg
Because of that the amount of CO gas can not be
predicted directly using data on the number of
explosives. Further study is needed to consider
additional factors that matter.
The measured amount of CO gas does not have a
strong relationship with the amount of explosives, so
the amount of CO gas can not be predicted directly
using data on the number of explosives. The
measurement results show a very large variation and
inconsistent values. Further study is needed to
consider additional factors:
a. Design geometry blasting
b. Explosive compositions
c. Absorption effect by wall or other material
d. Additional gas from other sources. It could be
a booster, primary, carbon-containing material,
and the air before blasting begins
e. Oxidation of CO gas into CO2 gas.
3.3 Effective Diffusion Coefficient
In order to obtain the effective diffusion
coefficient (E), authors used matching curve method
which based on advection diffusion equation. Data is
shown in Table 3.
Table 3 Summary of effective diffusion coefficient
No
CO Measurement
Station
Å«
(m/s)
E
(m2
/s)
Re L/d
1 1135 CKN-1 0.16 10.0 43983 11.2
2 1135 CKN-2 0.24 13.0 68954 22.3
3 1135 CKN-3 0.23 13.0 65265 73.7
4 1135 CKN-4 0.23 3.5 65265 90.4
5 1065 CKN-1 0.17 3.0 48239 6.7
6 1065 CKN-2 0.14 5.5 39726 12.3
7 1065 CKN-3 0.22 8.0 62427 22.3
8 1120 CKN-1 0.19 1.0 52496 4.5
9 1120 CKN-2 0.28 3.0 79453 63.6
No
CO Measurement
Station
Å« (m/s) E (m2
/s) Re L/d
10 1061 CBT-1 0.24 5.2 68102 13.4
11 1061 CBT-2 0.18 10.0 51077 39.1
12 1061 CBT-3 0.24 11.0 68102 49.1
13 1101 CBT-1 0.37 7.0 104991 11.2
14 1101 CBT-2 0.39 10.00 110666 25.7
15 1101 CBT-3 0.55 15.0 156068 36.8
16 DEC CBT-1 0.23 10.00 65265 8.9
17 DEC CBT-2 0.30 25.00 85128 17.9
Relationship effective diffusion coefficient, E, with
L/d is expressed in Figure 9. From relationship
between E with L/d can be concluded that L/d can be
a parameter to estimate the value of E. With L/d
values about 100 the empirical equation
E=0.1595 (L/d). The reason can be considered that
the L/d represents bends, branches, and other
obstacles along the tunnel shape. For health and
safety considerations, it is necessary corrections so
that the largest value is used as a reference. So the
equation become E* = 0.1595 (L/d) + 5.
Figure 9 Graph E to L / d
E = 0.1595 (L/d)
E* = 0.1595 (L/d) + 5
0
5
10
15
20
1 10 100
E(m2/s)
L/d
E vs L/d E E*
5. 5
3.4 Re-entry Time Estimation
Using equation E*, E values are obtained 22.09 at
Cikoneng area and 23.16 at Cibitung area, value of
Cikoneng average speed is 0.21 m/s and Cibitung
0.31 m/s, along with the largest amount of CO gas
3,550,000 cc are all put into advection diffusion
equations to estimate the re-entry time in each
area. Re-entry time is considered a time to reach the
safety limit (in this study 25 ppm) of CO gas.
Distance used in Cikoneng 480 m (L/d=107.1) and
Cibitung 510 m (L/d=113.8). Value of 25 ppm is used
as the application of a safety factor of 2.
The curves show that re-entry time Cikoneng area
takes 118 minutes and Cibitung area 72
minutes. Curve simulation results are expressed
in Figure 10.
Figure 10 Re-entry time estimation of Cikoneng and
Cibitung area
IV. CONCLUSIONS REMARKS
Measured CO gas curve is needed to evaluate gas
transportation in underground mine, especially to
evaluate flammable and toxic gas. In this study
authors tried to evaluate E or effective advection
diffusion coeffisient that later are used to estimate re-
entry time. Further research about this topic,
estimation of re-entry time in underground mine, are
still needed. In this study authors only consider CO
gas and ignore the presence of other gas that may be
harmful to worker’s health. Improvement of the gas
detector is important. The actual data about CO gas
should be collected regularly based on the
development of underground mine to estimate re-
entry time.
Recommmendation for advance study about this topic
are to conduct further experiments with numerical
method to take into account airways variations and
consider several curves representing variation of
effective coefficient diffusion in each lane. Second,
conduct research to measure CO by considering
additional factors mentioned before.
ACKNOWLEDGEMENTS
Authors would like to thank PT Cibaliung
Sumberdaya; Mr Sinambela, Mr Agus Sudarto, Mr
Haris, Mr Purwoko, and Mr Nopian. Also to all
lecturer and staff in Mining Engineering Program
ITB, especially to Dr. Eng. Syafrizal, ST, MT as the
head of Mining Department in ITB.
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De Souza, E. M dan Katsabanis, P. D. 1991. On the
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Gillies, A. D. S., Wu, H. W., & Shires, D. 2004.
Development of an Assessment Tools to
Minimize Safe After Blast Re-entry Time to
Improve the Mining Cycle.
Harris, M.L., Sapko, M. J., Mainiero, R. J. 2003.
Toxic Fume Comparison of A Few Explosives
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Research Laboratory.
Hartman, H.L., Mutmansky, J., Ramani, R., Wang,
Y.J. 1997. Mine Ventilation and Air
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Mainiero, R. J, Harris, M. L, Rowland III, J. H.
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Environmental Engineering, Chapman & Hall.
Rowland III, J. H, dan Mainiero, R. 2000. Factors
Affecting ANFO Fumes Production
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Explosive Toxic Fumes.
0
50
100
150
200
250
300
0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180
CO(ppm)
Time (Minute)
Cikoneng Cibitung
Vol CO= 3.550.000 cc
L/d= 107.1; Å«=0.21 m/s
E= 22.09;
Time= 118 minutes
Vol CO= 3.550.000 cc
L/d= 113.8; Å«=0.31 m/s
E= 23.16;
Time= 72 minutes