scholarly journals Visualisation of elastic numerical modelling results for effective mine planning and design

2012 ◽  
Author(s):  
Kobus du Plooy ◽  
Frans Basson
Keyword(s):  
Numerical Modelling ◽  
Mine Planning ◽  
Planning And Design

Application of Concentration-Number and Concentration-Volume Fractal Models to Recognize Mineralized Zones in North Anomaly Iron Ore Deposit, Central Iran / Zastosowanie Modeli Fraktalnych Typu K-L (Koncentracja-Liczba), Oraz K-O (Koncentracja Objętość) Do Rozpoznawania Stref Występowania Surowców Mineralnych W Regionie Złóż Rud Żelaza North Anomaly, W Środkowym Iranie

2015 ◽  
Vol 60 (3) ◽  
pp. 777-789 ◽  
Author(s):  
Peyman Afzal ◽  
Reza Ghasempour ◽  
Ahmad Reza Mokhtari ◽  
Hooshang Asadi Haroni
Keyword(s):  
Iron Ore ◽  
Wall Rock ◽  
Fractal Model ◽  
Mine Planning ◽  
Central Iran ◽  
Ore Deposit ◽  
Planning And Design ◽  
Fractal Models ◽  
Mineralized Zone ◽  
Iron Ore Deposit

Abstract Identification of various mineralized zones in an ore deposit is essential for mine planning and design. This study aims to distinguish the different mineralized zones and the wall rock in the Central block of North Anomaly iron ore deposit situated in Bafq (Central Iran) utilizing the concentration-number (C-N) and concentration-volume (C-V) fractal models. The C-N model indicates four mineralized zones described by Fe thresholds of 8%, 21%, and 50%, with zones <8% and >50% Fe representing wall rocks and highly mineralized zone, respectively. The C-V model reveals geochemical zones defined by Fe thresholds of 12%, 21%, 43% and 57%, with zones <12% Fe demonstrating wall rocks. Both the C-N and C-V models show that highly mineralized zones are situated in the central and western parts of the ore deposit. The results of validation of the fractal models with the geological model show that the C-N fractal model of highly mineralized zones is better than the C-V fractal model of highly mineralized zones based on logratio matrix.

Study on the Visual Prediction and Analysis Method of Mining Subsidence

2011 ◽  
Vol 402 ◽  
pp. 724-727
Author(s):  
Jing Wei Wang ◽  
Dong Ling Ma ◽  
Ya Fei Zhou
Keyword(s):  
Prevention And Control ◽  
Mine Planning ◽  
Mining Subsidence ◽  
Practical Significance ◽  
Analysis Method ◽  
Data Format ◽  
Visual Method ◽  
Planning And Design ◽  
And Control ◽  
Visual Graph

In view of actual conditions that AutoCAD is widely used in coal mines in China, the concrete method based on CASS software is intruduced, which can realize the visual prediction and analysis of mining subsidence. Because CASS software has been developed based on AutoCAD, when the digital mining map of CAD format is used, the switchover of data format is not required, and the input, output and edit of the digital mining map is very convenient. The displacement and distortion information of mining subsidence forecast can be represented in the digital mining map by means of the visual graph, which can easily analyze and evaluate mining subsidence. Using the visual method, the efficiency and accuracy of technical decision can be enhanced, and it has practical significance for the mine planning and design and the prevention and control of mining subsidence.

scholarly journals Application of Foam Stopping for Mitigation of Spontaneous Heating In Underground Coal Mines

2019 ◽  
Vol 9 (2) ◽  
pp. 4425-4428
Keyword(s):  
Coal Mines ◽  
Proximate Analysis ◽  
Mine Planning ◽  
Inert Gases ◽  
Spontaneous Heating ◽  
Indian Coal ◽  
Planning And Design ◽  
Advanced Technologies ◽  
Underground Coal Mines ◽  
Valley Area

The problem of spontaneous heating is a major threat to safety and productivity in mines all over the world. In India, more than 80% of fires are caused due to Spontaneous Combustion. The applicability of inert gases is expensive, time-consuming and is a very tedious process. Hence the application of advanced technologies becomes essential to be introduced in mines. In this context, Central Mine Planning and Design Institute (CMPDI), Ranchi, India carried out an R&D project entitled “Construction of quick setting stopping in case of fire in an underground mine using expansion foam agent” under the funding from the Ministry of Coal, Government of India. Under this project, two Indian mines were selected in consultation with MCL for carrying out the proposed work in Orient Mine No.3 and Bundia Mine of MCL (Ib Valley AREA). Coals from both the mines have been collected and analysed in the laboratory. The proximate analysis and CPT/IPT results show that both the coals are moderately prone to spontaneous heating. Considering both intrinsic and extrinsic properties, two stoppings were constructed in the Hirakhand Bundia mines and four in orient mines. Periodic supervision along with the altering ingress of air from intake was been checked. After careful supervision of nearly 4 years, the stoppings proved to be strong enough to be leakage proof. This paper describes the application of foam technology as stopping to avoid air entry, thus preventing the occurrences of spontaneous heating/fire in a panel of Indian coal mines.

Risks as a cause of industrial safety inhibition in underground construction

2020 ◽  
pp. 146-154
Author(s):  
E. Yu. Kulikova ◽  
O. V. Vinogradova
Keyword(s):  
Underground Structure ◽  
Regulatory System ◽  
Mine Planning ◽  
Psychological Climate ◽  
Industrial Safety ◽  
Accident Risk ◽  
Underground Construction ◽  
Underground Structures ◽  
Planning And Design ◽  
Definition Of

Underground construction is always affected by numerous hazards. The risks degrade safety and longevity of underground structures. The risk analysis shows that the main root causes of risk are the errors and ill-coordinated wok of personnel in construction and operation of an underground facility. The major risks in underground construction are described. The modes of industrial supervision over construction quality are presented. The definition of an accident risk is discussed. The majority of accidents falls at the errors of personnel, both managers and executives. Shortage of skills, lack of coordination, violation of labor discipline and deficiency of control lead to disasters in underground constructions. The required organizational arrangements are developed subject to assessment of underground structure conditions. Mitigation of technical risks should base on advance of protection technologies and equipment to ensure collective safety of workers. Furthermore, it is necessary to improve regulatory system, assessment of the industrial environment condition, mine planning and design methods, etc. Organizationally, risk reduction needs creation of social and psychological climate to motivate personnel to work safely and efficiently, including each individual and the whole company.

Appraisal of Commonly used Mine Planning and Design Software in Ghanaian Surface Mines

2018 ◽  
Vol 18 (1) ◽  
pp. 49-55
Author(s):  
Peter Arroja Eshun ◽  
G. K. Bediaku
Keyword(s):  
Surface Mining ◽  
Careful Consideration ◽  
Mine Planning ◽  
Solid Model ◽  
User Friendliness ◽  
Surface Mines ◽  
Multiple User ◽  
Planning And Design ◽  
Design Software ◽  
Performance Capability

Mine planning and design software improve productivity at every stage of a mine’s life and simplify mine planning and design processes so that a given deposit can be mined safely and economically. This study was set out to appraise Surpac and MineSight as the commonly used mine planning and design software in most Ghanaian surface mines. Questionnaires were administered to users in seven (7) producing mines using seven (7) appraisal criteria which include: ease of installation/configuration; user friendliness; performance capability; customisation (scripting) capability; compatibility with other software; cost effectiveness; and vendor support. Secondary data from Abosso Goldfields Limited (AGL) was used to plan and design AGL’s Huni pit using the two software to validate responses from the questionnaire administration. This enabled a comparative assessment of the strengths and weaknesses of the two software to be done. Surpac was ranked ahead of MineSight in all the seven (7) appraisal criteria, except for performance capability. The two software during the validation process gave good solid model volume and tonnage estimates but had little differences in the volumes and tonnages of partials. Surpac showed strength in installation and learning, block modelling, and partials extraction and estimation whilst MineSight showed strength in multiple user flexibility, pit design, and solid model creation and estimation. Recommendations to improve the two software have been offered as part of the study and a careful consideration of Datamine is suggested as they are making inroad into the Ghanaian market especially with their underground modules. Keywords: Mine Planning and Design, Surface Mining, Mining Software, Surpac, MineSight, Datamine

scholarly journals APPLICATION OF RQD-NUMBER AND RQD-VOLUME MULTIFRACTAL MODELLING TO DELINEATE ROCK MASS CHARACTERISATION IN KAHANG Cu-Mo PORPHYRY DEPOSIT, CENTRAL IRAN / ZASTOSOWANIE METOD MODELOWANIA NUMERYCZNEGO ORAZ MODELOWANIA FRAKTALNEGO DO ANALIZY JAKOŚCI SKAŁ W CELU OKREŚLENIA CHARAKTERYSTYKI GÓROTWORU W OBSZARZE ZŁOŻA Cu-Mo W KAHANG, ŚRODKOWY IRAN

2013 ◽  
Vol 58 (4) ◽  
pp. 1023-1035 ◽  
Author(s):  
Amir Bijan Yasrebi ◽  
Andrew Wetherelt ◽  
Patrick J. Foster ◽  
Peyman Afzal ◽  
John Coggan ◽  
...  
Keyword(s):  
Rock Mass ◽  
Fractal Model ◽  
Mine Planning ◽  
Central Iran ◽  
Rock Classification ◽  
Porphyry Deposit ◽  
Planning And Design ◽  
Fractal Models ◽  
Rock Quality ◽  
Rock Mass Characterisation

Abstract Identification of rock mass properties in terms of Rock Quality Designation (RQD) plays a significant role in mine planning and design. This study aims to separate the rock mass characterisation based on RQD data analysed from 48 boreholes in Kahang Cu-Mo porphyry deposit situated in the central Iran utilising RQD-Volume (RQD-V) and RQD-Number (RQD-N) fractal models. The log-log plots for RQD-V and RQD-N models show four rock mass populations defined by RQD thresholds of 3.55, 25.12 and 89.12% and 10.47, 41.68 and 83.17% respectively which represent very poor, poor, good and excellent rocks based on Deere and Miller rock classification. The RQD-V and RQD-N models indicate that the excellent rocks are situated in the NW and central parts of this deposit however, the good rocks are located in the most parts of the deposit. The results of validation of the fractal models with the RQD block model show that the RQD-N fractal model of excellent rock quality is better than the RQD-V fractal model of the same rock quality. Correlation between results of the fractal and the geological models illustrates that the excellent rocks are associated with porphyric quartz diorite (PQD) units. The results reveal that there is a multifractal nature in rock characterisation with respect to RQD for the Kahang deposit. The proposed fractal model can be intended for the better understanding of the rock quality for purpose of determination of the final pit slope.

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