Computational Methods and Assessment in Mining Engineering
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".
Deadline for manuscript submissions: closed (28 March 2024)
Special Issue Editor
Interests: mineral reserves; mineral economics; mining engineering; mining technology; mining geostatistics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Mining engineering and mathematics are two disciplines that are closely intertwined. Mining engineers use mathematics to analyze and design complex systems, such as underground and surface mines, and to calculate the cost of mining operations determining potential constraints. Mathematics is also used to develop computer models that simulate the behavior of mining systems, allowing engineers to test different scenarios and make informed decisions. Mathematical models are also used to analyze the safety of mines and to predict the environmental impact of mining operations. In addition, mathematics is used to optimize the production of mines, ensuring that resources are used efficiently and that operations are cost-effective. By combining mining engineering and mathematics, mining professionals are able to develop safe, efficient, and cost-effective mining operations.
Some ideas to consider.
- Developing mathematical models to optimize the efficiency of mining operations.
- Applying mathematical principles to design and construct underground mines.
- Applying mathematical principles to design and construct surface mines.
- Utilizing mathematical algorithms to identify potential mineral deposits.
- Developing mathematical models to predict the environmental impacts of mining activities.
- Utilizing mathematical models to assess the economic viability of mining projects.
- Applying mathematical principles to analyze the safety of mining operations.
- Utilizing mathematical algorithms to optimize the extraction of minerals from ore.
- Developing mathematical models to forecast the demand for strategic minerals.
- Utilizing mathematical algorithms to identify cost-effective mining solutions.
Prof. Dr. Antonio Nieto
Guest Editor
Manuscript Submission Information
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Keywords
- mineral economics
- mining engineering
- mining geostatistics
- mathematical models
- mathematical algorithms
