scholarly journals Revenue Estimation of Pit Seam 14 Quarter Mine Block Sequence Design Based on Coal Reference Price Prediction at PT Alam Jaya Pratama, East Kalimantan Province

2021 ◽  
Vol 3 (2) ◽  
pp. 95-102
Author(s):  
Aryanti Virtanti Anas ◽  
Rahmat Hidayat ◽  
Rizki Amalia ◽  
Muhammad Ramli ◽  
Nirmana Fiqra Qaidahiyani ◽  
...  
Keyword(s):  
Reference Price ◽  
Linear Regression Method ◽  
Coal Production ◽  
Block Sequence ◽  
Sequence Design ◽  
Price Prediction ◽  
East Kalimantan ◽  
Calculation Results ◽  
Revenue Estimation ◽  
Production Target

Seam 14 is one of coal prospects owned by PT Alamjaya Bara Pratama (PT ABP) with an estimated coal resources of ±4,022,458.63 tons which is will be produced in 2020 so that required a pit and mine sequence design used as a guideline in carrying out coal production activities. On the other hand, the uncertainty of coal prices caused the mine sequence design to be evaluated within a certain time as the coal reference price (HBA) was altered and company’s production target. The model equation of coal reference price prediction in 2020 was carried out by using multiple linear regression method. Based on that model, prediction of coal reference price was obtained in CW 1 = $80.21, CW 2 = $81.47 and CW 3 = $82.50. The Pit 14 was designed with the consideration of company's geotechnical recommendation which is can be achieved on the conditions of stripping ratio (SR) of 6 and 7. The mine sequence was designed base on the evaluation of coal production in 2019 (CW 1 = SR > 3, CW 2 = 3 ≤ SR ≤ 6 and CW 3 = SR > 6). The calculation results of estimated revenue of Pit 14 with SR = 6 is CW 1 = US$40,131,297.12; CW 2 = US$36,431,457.31; and CW 3 = US$19,601,965.40. Estimated revenue of Pit 14 with SR = 7 is CW 1 = US$41,821,080.50; CW 2 = US$39,204,128.39; and CW 3 = US$31,715,767.60.  

scholarly journals CONTRIBUTION OF MOTION STUDY TO STANDARD TIME AT BALL TEA STATION (CASE STUDY PT. MITRA KERINCI, SOUTH SOLOK)

2021 ◽  
Vol 11 (2) ◽  
pp. 92-107
Author(s):  
Aldino Rizki Prayoga ◽  
Meizul Zuki ◽  
Yusril Dany
Keyword(s):  
Standard Deviation ◽  
Cycle Time ◽  
Standard Time ◽  
Motion Study ◽  
Uniformity Test ◽  
Time Calculation ◽  
Calculation Results ◽  
Increase In Productivity ◽  
Flow Map ◽  
Production Target

PT Mitra Kerinci is a company established in West Sumatra Province which is engaged in tea plantations and tea processing in its factories. PT Mitra Kerinci produces an average of 7,000 kg or 7 tons of green tea shoots per day. The production process for processing tea shoots, the factory sometimes does not reach the production target in accordance with the production target of the company. The goal of research  to determine the amount of the contribution of the motion study to the standard time and determine the amount of the contribution of the standard time to the increase in productivity in the final drying process at Ball Tea station, the production of tea shoots at PT. Kerinci Partners. This research an experimental research type and uses the same subject research design (treatment by subject design), namely the treatment is imposed on the same subject. The results of time calculations after the motion study on the process flow map reached 15,676.02 seconds. Then proceed with the calculation of the cycle time which reaches 825.41 seconds with the actual standard deviation obtained at 3.58 and the standard deviation of the subgroup distribution is 1.79. After knowing the results of the average cycle time, the actual standard deviation and the standard deviation of the subgroup distribution, the data uniformity test was continued, starting with calculating the BKA and BKB. The BKA calculation results obtained 830.78 and the BKB reached 820.04. So that in the data uniformity test the results reached 0.908. In the series of movements of the left and right hands after the repair, a cycle time of 825.41 seconds / unit of Ball Tea was obtained from the previous time, reaching 906.66 units / Ball Tea and getting a time difference of 81.25 seconds. In the calculation of the standard time, the normal time calculation is carried out first, after it is known that the result of the adjustment calculation reaches 1.12 so that the normal time is obtained with a total of 924.45 seconds. Continue to calculate the standard time and the results reach 1423.65 seconds with an allowance of 54%. This contributed to an increase in productivity by 5.7%.

scholarly journals Optimization of 2-D Magnetotelluric (MT) Modes Based on Data Dimensionality to Delineate Potential Area for Shale Gas Prospect in Kutai Basin, East Kalimantan, Indonesia

2021 ◽  
Vol 873 (1) ◽  
pp. 012039
Author(s):  
Hidayat ◽  
G.M Lucky Junursyah ◽  
Ahmad Setiawan ◽  
Andrawan Erlang Pradana
Keyword(s):  
Data Processing ◽  
Shale Gas ◽  
Sedimentary Basin ◽  
Geological Structure ◽  
Quality Data ◽  
East Kalimantan ◽  
Measurement Mode ◽  
Calculation Results ◽  
Structural Responses ◽  
Magnetotelluric Method

Abstract We conducted a study using the magnetotelluric method in the Kutai Basin, which is one of the largest and deepest tertiary sedimentary basin located in the province of East Kalimantan, Indonesia. The Kutai Basin, which is one of the sedimentary basin that is proven to produce hydrocarbons in Indonesia, also has the potential for shale gas with all the complexities of its geological structure. Inversion of 2-D MT can generally be done in three modes with different sensitivity. We perform data processing objectively to obtain the best quality data. We continued our data processing to the inversion process with a range from 80.78% to 97.09% coherency data. We also performed sensitivity skewness calculations to determine the dimensionality of our data. The map of sensitivity skewness is shown for the vertical path A – A’ with direction N – S in our study area. Based on the calculation results, the skewness value below 0.3 is obtained around the frequency 320 - 0.002 Hz, and associated with the 2-D structure while value above 0.3 are obtained around the frequency 0.00198 - 0.00034 Hz at KT34 and KT36 stations. Based on dimensionality calculations, it is concluded that the MT data in the Kutai Basin is dominated by 2-D structural responses, so that the TE + TM (invariant) mode is the best measurement mode for inversion modeling. We also performed calculations to obtain the optimum smoothness factor (tau) using a trade-off curve. Based on the results of the inversion with the optimization of these data parameters, we obtained a subsurface geological structure pattern such as fault and fold structure along the vertical path of A – A’. The low resistivity anomaly is interpreted as a response to the presence of black shale which is part of the Pamaluan Formation. The top of the Pamaluan Formation is estimated at the depth that varies from 2000m to 4000m below the surface along the A – A’ vertical cross-section.

scholarly journals Delay effect of mud loading to the open pit design in terms of meeting 2018 – A coal production target case study of pit XYZ at South Kalimantan

2020 ◽  
Vol 23 (2) ◽  
pp. 67-82
Author(s):  
Karel Warda ◽  
◽  
Bagus Wiyono ◽  
Tedy Cahyadi ◽  
Sigit Prabowo ◽  
...  
Keyword(s):  
Open Pit ◽  
Coal Production ◽  
Internal Factors ◽  
Sequence Pattern ◽  
Loading Process ◽  
Direct Observations ◽  
Mining Sequence ◽  
Pit Design ◽  
Production Target

Based on the 2018, there a mining plan, two temporary sumps, namely the ABC and BCD sumps. They located in a mining sequence pattern. These sumps required a mud loading process prior to mining the coal below the sequence. The mud loading process is loaded sequentialy. However, the problem occurs when the mud loading process in the ABC sump is delayed, and resulted only 42% of mud production. Such the delay resulted in hindering the mining sequence pattern which forced changes in plans, designs, and decrease of coal production. These condition led to study the cause, impact, and alternative solution of the delay during mud loading process. The method used in this study includes direct observations and data collection of working conditions, equipment capabilities, material properties, and operation timeline. In this study, the statistical analysis is used to determine the cause and effect of delayed mud loading process. A Minex Software is then used to simulate the alternative of redesign the mining sequence pattern. The study found that the delay in mud loading process is due to the external and internal factors, that result in underproduction of coal only 505,833 tons, and delayed of coal production around 64 days. An alternative that can be conducted is to change the direction progress to the area that has low stripping ratio. Factors that can hinder the progress are need to be considered for anticipating the plan distraction at mid-term-plan.

Analysing the Sustainable Development of Coal Resources in Shanxi Province from the Perspective of Coal Reserves

2014 ◽  
Vol 962-965 ◽  
pp. 1746-1752
Author(s):  
Chun Chen Wei ◽  
Chun Xiang Hu ◽  
Zhi Wei Yu
Keyword(s):  
Sustainable Development ◽  
Production Capacity ◽  
Shanxi Province ◽  
Coal Production ◽  
The Sustainable Development ◽  
Coal Resources ◽  
Geological Conditions ◽  
Coal Reserves ◽  
Production Target ◽  
Production Conditions

The coal production capacity is determined by many factors, such as geological conditions, production conditions, transportation conditions, environmental factors, coal reserves and so on. The coal reserves play a fundamental role in these factors. Therefore, this paper analyzes whether existing reserves in Shanxi Province could support coal production target which is made by government of Shanxi Province after the integration of coal resources from the perspective of coal reserves. The purpose of this paper is to achieve better sustainable development of coal resources in Shanxi Province.

scholarly journals Optimalisasi Spasi Ripping Bulldozer terhadap Fragmentasi Batubara Seam B2 di Tambang Banko Barat PT X Desa Tanjung Enim, Kecamatan Lawang Kidul, Kabupaten Muara Enim, Provinsi Sumatera Selatan

2021 ◽  
Vol 1 (1) ◽  
pp. 1-7
Author(s):  
Hafizh Nurul Fauzi ◽  
Zaenal ◽  
Sriyanti
Keyword(s):  
Coal Mining ◽  
Cycle Time ◽  
Mechanical Equipment ◽  
Coal Production ◽  
Work Efficiency ◽  
Large Size ◽  
Strip Mine ◽  
Ripping Production ◽  
Improvement Effort ◽  
Production Target

Abstract. Coal mining at PT X Banko Barat site uses the Strip Mine type Open Mine System using mechanical equipment. To breaking coal from Pit 1 Timur using ripping with the Komatsu D 375 Bulldozer A. As for the digging and loading using Backhoe Komatsu PC 400 and Backhoe Hitachi ZX 470 Lc The problem with the company is the large size of the fragmentation of ripping coal which is greater than 20 cm which is not in accordance with the specifications of the grizzly dump hopper, so there must be a reduction in the size of the coal back by the backhoe so that production is getting lower. This study aims to optimize the ripping bulldozer space on coal so that it will produce coal fragmentation smaller than the actual ripping and the effect of coal fragmentation on bulldozer and backhoe production. The research included taking data of bulldozer cycle time ripping, backhoe cycle time, bulldozer obstacle time, backhoe obstacle time, coal density and coal fragmentation. From these data we will know the effect of bulldozer ripping spacing on the fragmentation of coal produced and the effect on bulldozer and backhoe production. For the East Pit coal production target, West Banko is 360,000 tons/ month. The actual bulldozer ripping space is 80 cm with B2 coal fragmentation yield of more than 20 cm is 11.36% with 363,476.74 tons/month ripping bulldozer and backhoe production 363,477.32 tons/month. For the 60 cm ripping spacing improvement, the B2 coal fragmentation yield of more than 20 cm is 3.05% with a bulldozer ripping production of 347,670.27 tons/month and backhoe production of 347,670.7 tons/month. As for the 40 cm ripping spacing improvement, B2 coal fragmentation which is more than 20 cm is 1.58% with a bulldozer ripping production of 288,922.03 tons / month and backhoe production of 288,922.9 tons/month. Based on the results of the study, coal fragmentation of more than 20 cm has reached the Company's SOP, which is less than 2%, but the production target has not been reached, so efforts must be made to improve. The improvement effort is by adding a bulldozer and increasing the bulldozer work efficiency. Bulldozer production was obtained at 385,229.37 tons/month and backhoe production at 385,229.60 tons/month so as to reach the production target. Abstrak. Penambangan batubara pada PT X Site Banko Barat menggunakan Sistem Tambang Terbuka tipe Strip Mine dengan menggunakan peralatan mekanis. Untuk memberaikan batubara pada Pit 1 Timur menggunakan ripping dengan Bulldozer Komatsu D 375 A. Sedangkan untuk penggalian dan pemuatannya menggunakan Backhoe Komatsu PC 400 dan Backhoe Hitachi ZX 470 Lc. Adapun masalah pada perusahaan adalah banyaknya ukuran fragmentasi batubara hasil ripping yang lebih besar dari 20 cm yang tidak sesuai dengan spesifikasi grizzly dump hopper, sehingga harus ada pengecilan ukuran batubara kembali oleh backhoe sehingga produksinya semakin rendah. Penelitian ini bertujuan untuk mengoptimalkan spasi ripping bulldozer pada batubara sehingga akan menghasilkan fragmentasi batubara yang lebih kecil dibandingkan dengan ripping aktualnya dan pengaruh fragmentasi batubara terhadap produksi bulldozer dan backhoe. Penelitian meliputi pengambilan data cycle time ripping bulldozer, cycle time backhoe, waktu hambatan bulldozer, waktu hambatan backhoe, densitas batubara dan fragmentasi batubara. Dari data tersebut akan diketahui pengaruh dari spasi ripping bulldozer terhadap fragmentasi batubara yang dihasilkan serta pengaruh terhadap produksi bulldozer dan backhoe. Untuk target produksi batubara Pit Timur, Banko Barat adalah 360.000 ton/bulan. Spasi ripping bulldozer aktual adalah sebesar 80 cm dengan hasil fragmentasi batubara B2 yang lebih dari 20 cm adalah 11,36% dengan produksi ripping bulldozer sebesar 363.476,74 ton/bulan dan produksi backhoe sebesar 363.477,32 ton/bulan. Untuk spasi ripping perbaikan 60 cm dengan hasil fragmentasi batubara B2 yang lebih dari 20 cm adalah 3,05% dengan produksi ripping bulldozer sebesar 347.670,27 ton/bulan dan produksi backhoe sebesar 347.670,7 ton/bulan. Sedangkan untuk spasi ripping perbaikan 40 cm dihasilkan fragmentasi batubara B2 yang lebih dari 20 cm adalah 1,58% dengan produksi ripping bulldozer sebesar 288.922,03 ton/bulan dan produksi backhoe sebesar 288.922,9 ton/bulan. Berdasarkan hasil penelitian, fragmentasi batubara yang lebih dari 20 cm telah mencapai SOP Perusahaan yaitu kurang dari 2%, tetapi target produksinya tidak tercapai, sehingga harus ada upaya perbaikan. Adapun upaya perbaikannya adalah dengan menambahkan satu alat bulldozer dan meningkatkan efisiensi kerja bulldozer. Didapatkan produksi bulldozer sebesar 385.229,37 ton/bulan dan produksi backhoe sebesar 385.229,60 ton/bulan sehingga telah mencapai target produksi.

The Coal Production Anomaly Detection Based on Data Mining

2012 ◽  
Vol 239-240 ◽  
pp. 744-748
Author(s):  
Guang Hui Wang ◽  
Ya Li Kuang ◽  
Zhang Guo Wang
Keyword(s):  
Data Mining ◽  
Anomaly Detection ◽  
Operating Characteristic ◽  
Coal Production ◽  
Coal Preparation ◽  
Receiver Operating Characteristic Curves ◽  
Detection Model ◽  
Fine Coal ◽  
Plot Analysis ◽  
Production Target

Choose data Mining to study the anomaly detection in coal preparation, using ash of raw coal , rapid ash and yields of raw coal which density below 1.45, and ash and actual yields of fine coal in the database as sample attribute of coal production anomaly detection model, based on Box-plot analysis, the evaluating values range of five attribute above are determined. On this condition, by using SVM and KNN, the identification model of anomaly detection in coal preparation is established. The Receiver Operating Characteristic curves analysis result shows judging production target Abnormal Conditions using SVM will be more accurate in coal preparation.

Combinational Methods of Vehicle Frontal Crashworthiness Optimization Based on Conceptual Model

2011 ◽  
Vol 268-270 ◽  
pp. 160-165
Author(s):  
Fei Liu ◽  
Jun Yi Chen ◽  
Hong Yan Wang
Keyword(s):  
Sampling Method ◽  
Latin Hypercube Sampling ◽  
Linear Regression Method ◽  
Kriging Method ◽  
Potential Influence ◽  
Feasible Direction ◽  
Frontal Crash ◽  
Crash Safety ◽  
Safety Design ◽  
Calculation Results

Through full factor analysis of the stiffness of the components which have potential influence on vehicle front impacts, through sensitivity analysis of vehicle front impacts using Linear Regression Method, the stiffness significantly affected the impacts are chosen as the optimization variables. The vehicle intrusion and the deceleration waveform of B pillar are weighted as the optimization objective. The Latin Hypercube Sampling Method is used to do sampling; a response surface of the calculation results is established using Kriging Method; the optimization is done using Method of Feasible Direction, finally the most optimal car body stiffness is determined, and which can provide the basis for frontal crash safety design of the electric vehicle.

scholarly journals The Wave Effect Analysis Caused By Blasting Toward Highwall Slope Stability At Coal Mining, Pit 3000 Block 05 Sb 1, PT Trubaindo Coal Mining, Kutai Western District, East Kalimantan Province

PROMINE ◽  
2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Guntur Suryo Putro ◽  
Bambang Wisaksono ◽  
S Koesnaryo
Keyword(s):  
Slope Stability ◽  
Coal Mining ◽  
Cross Section ◽  
Measurement Data ◽  
Vibration Measurement ◽  
Effect Analysis ◽  
East Kalimantan ◽  
Top Soil ◽  
Calculation Results ◽  
Highwall Slope

PT Trubaindo Coal Mining (PT TCM) is a coal mining company located in West Kutai, East Kalimantan.Demolition of overburden layer is done by drilling and blasting can effect results primarily blastingground vibration for highwall slope stability. Controlled blasting activities undertaken in 3000 Pit Block05 using linedrill. Vibration measurement data obtained from the reading apparatus is not necessarilya factor affecting vibration highwall slope stability, but with the direction of propagation horizontalvibrations that cause the decrease highwall slope stability. The maximum horizontal accelerationarising from blasting activities as parameters that play a role in the stability of the slope obtained bylinking the PPA with the equation Amax = 0.5167 x PPA. Therefore, to determine the effect of groundvibration due to blasting for highwall slope stability modeling needs to be done cross-section A-A ', BB',C-C ', D-D' and E-E '. Results of prediction equations safety factor value of each cross-section asfollows: Section of A-A’, FK = 5,1489 amax 6 – 32,719 amax 5 + 79,933 amax 4 – 93,928 amax 3 + 54,189 amax 2 – 13,898 amax + 1,30852 Section of B-B’, FK = 0,4838 amax 6 – 3,0058 amax 5 + 7,0149 amax 4 – 7,6767 amax 3 + 4,4953 amax 2 – 2,4997 amax + 1,44549 Section of C-C’, FK = 1,2021 amax 6 – 7,4203 amax 5 + 16,907 amax 4 – 17,239 amax 3 + 8,0429 amax 2 – 2,8212 amax + 1,3628 Section of D-D’, FK = 5,279a amax 6 – 33,941 amax 5 + 84,105 amax 4 – 100,68 amax 3 + 59,648 amax 2 – 15,946 amax + 1,57907 Section of E-E’, FK = -1,9442 amax 6 + 11,453 amax 5 – 24,289 amax 4 + 20,677 amax 3 – 2,7313 amax 2 – 4,8741 amax + 1,65573The calculation results of critical maximum horizontal acceleration for every cross-section varies asthe follows: Section of A-A’, amax-critical = 0,007 g Section of B-B’, amax-critical = 0,118 g Section of C-C’, amax-critical = 0,062 g Section of D-D’, amax-critical = 0,025 g Section of E-E’, amax-critical = 0,09 gVariation is influenced by the thickness of the layer of top soil (top soil) and any cross-sectionalgeometry highwall slope.

FINAL PIT PLANNING COAL MINING IN 16 PHASE 2 SEAMS IN PT. KTC COAL MINING & ENERGY, KECAMATAN. PALARAN, SAMARINDA, EAST KALIMANTAN

2019 ◽  
Vol 2 (2) ◽  
pp. 112-118
Author(s):  
Ahmad Fauzan Haryono
Keyword(s):  
Coal Mining ◽  
Three Dimensional ◽  
Complex Problem ◽  
Production Equipment ◽  
Phase 2 ◽  
Block Model ◽  
Stage Design ◽  
Sequence Design ◽  
Model Method ◽  
East Kalimantan

Mining stage design which is a complex problem in terms of three-dimensional geometry that is always changing, then in this thesis the pit limit, mine sequence design or mining stages are in accordance with the tolerance stripping ratio recommended by the company and the production equipment to be used in order to obtain production targets the optimal. The research was conducted using software to design the final pit and block model method to calculate the volume. The results of the research that have been carried out obtained 752,930 MT of mined reserves and Over Burden (OB) volumes of 4,439,394 BCM and Stripping Ratio (SR).

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