Improving mine-to-mill by data warehousing and data mining

Date

2019-08-18

Author

Erkayaoğlu, Mustafa

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

310
views

0
downloads

Mining is an interdisciplinary industry that utilises equipment and technology intensively in daily operations. Mine-to-Mill is considered as a key concept for metal mining recently. Impact of underperformed basic upstream operations such as drilling and blasting will sustain this inefficiency in downstream processes, such as mineral processing. Data provided for each of these operations from software and hardware utilised on field reached a level where advanced data analytics becomes applicable. Data warehousing and data mining are alternative tools that rely on a robust data structure. This study gives insight into a data-driven framework for modern mines and presents a data mining implementation on real-time mining-related data for prediction of blasting performance. Random forest and adaptive boosting algorithm were utilised on an integrated data warehouse to discover major operational parameters for efficient blasting. The implementation on site improved the performance of drilling and blasting. The variables highlighted as important by random forest and adaptive boosting algorithm directed the experts of mine-to-mill on site to focus on the close control and detailed analysis of certain drilling- and blasting-related parameters.

Subject Keywords

Management of Technology and Innovation, Earth-Surface Processes, Geotechnical Engineering and Engineering Geology, Geology

URI

https://hdl.handle.net/11511/39861

Journal

INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT

DOI

https://doi.org/10.1080/17480930.2018.1496885

Collections

Department of Mining Engineering, Article

Suggestions

OpenMETU
Core

Penetration rate prediction for diamond bit drilling by adaptive neuro-fuzzy inference system and multiple regressions BASARIR, HAKAN; Tutluoğlu, Levend; Karpuz, Celal (Elsevier BV, 2014-05-01) In many mining, civil, and petroleum engineering applications diamond bit drilling is widely used due to high penetration rate, core recovery and its ability to drill with less deviation. Recently, many research have been conducted to estimate the penetration rate of diamond drilling which can be considered as one of the most important parameters in project planning and cost estimation of the operation.
Indicator-based sustainability assessment for the mining sector plans: Case of Afsin-Elbistan Coal Basin Yaylaci, Evren Deniz; Düzgün, Hafize Şebnem (Elsevier BV, 2016-08-01) Environmental, social and economic impacts of the mining sector are evaluated separately or holistically with different tools at the project- and strategic-level in order to achieve effective resource management and to prevent unsound mining operations. As coal is one of the extensively utilized primary energy sources in the world, the coal mining and its negative impacts are criticized frequently in terms of sustainability criteria. Therefore, integrating the sustainability criteria at the strategic level ...
Assessment of grinding additives for promoting chromite liberation Camalan, Mahmut; Hoşten, Çetin (Elsevier BV, 2019-06-01) Liberation of the valuable minerals of an ore from its gangue is a prerequisite for the economic recovery of the valuable minerals to concentrates. Mineral liberation is achieved by reducing the size of ore particles in various crushing and grinding devices. The fineness to which the ore must be ground, so as to yield sufficient degrees of liberation, increases if the valuable minerals with small grain sizes are disseminated throughout the gangue. Intensive fine grinding, however, increases energy costs and...
Numerical modelling of out-of-seam dilution in longwall retreat mining SAEEDI, G.; SHAHRIAR, K.; REZAI, B.; Karpuz, Celal (Elsevier BV, 2010-06-01) Longwall mining is a common mining method in Iran that is often affected by out-of-seam dilution (OSD). The field investigations performed in Tabas coal mine show that OSD often occurs due to roof falls in front of the face area before support setting and also removing some floor material. The increase in unsupported roof span above the shearer may cause difficulty in controlling the roof and consequently increases dilution of the run of mine (ROM) coal. The paper presents the results of a study on some dom...
Determination of instantaneous breaking rate by Geological Strength Index, Block Punch Index and power of impact hammer for various rock mass conditions Aksoy, C. O.; Ozacar, V.; Demirel, Nuray; Ozer, S. C.; Safak, S. (Elsevier BV, 2011-07-01) In mining and construction industries, selection of appropriate excavation method and equipment significantly affects the project feasibility. In the selection, the most important parameters are the geomechanical properties of the rock mass in the excavation route as extensively reviewed in literature. The most widely used geomechanical parameter is uniaxial compressive strength (UCS). However, UCS laboratory test requires time consuming and expensive sampling and core sample preparation processes, which ca...

Citation Formats

M. Erkayaoğlu, “Improving mine-to-mill by data warehousing and data mining,” INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT, pp. 409–424, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/39861.