Titlebook: Advanced Analytics in Mining Engineering; Leverage Advanced An Ali Soofastaei Book 2022 Springer Nature Switzerland AG 2022 Data Analytics.

Meander

https://doi.org/10.1007/978-1-4302-0046-8g projects is usually summarized into the financial technical model, which combines technical and financial aspects. The usual main inputs to such models are discussed and the potential sources for the information required in building such models. After the basic framework is established, sources of

VOK

https://doi.org/10.1007/978-1-4302-0046-8ed resources. Traditional experimental and numerical simulation techniques have failed to provide comprehensive and optimized solutions in a bit of time. With the enormous volume of data produced daily, a solution to meet the industry’s challenges was imminent. The various opinions of the expert are

Anonymous

https://doi.org/10.1007/978-1-4302-0046-8mining. The surface mining will be more complicated when the depth of the pit increases, and the miners need to go deeper to reach the ore. Advanced analytics and using the new technology can potentially help mining companies find a cost-effective way to extract material. However, using advanced ana

OREX

Backwards Compatibility and Extensions,t the surface or near the surface. Although at least nine different surface mining methods have been introduced, thus far, open-pit, and strip mining have the highest contribution in raw material extraction from Earth. However, deposits that are being mined using these two methods are substantially

玷污

Alveolar-Bone

https://doi.org/10.1007/978-1-4302-0046-8ade maximizes the net present value (NPV) of an open-pit mining operation subject to the variable mining capacities, milling, smelting, and refining. The cut-off grade of a metalliferous deposit is dynamic; thus, the dynamic programming approach may be considered one of the suitable methods for solv

誤傳

https://doi.org/10.1007/978-1-4302-0046-8rformance, regulations are all a part of these uncertainties. Managing these uncertainties effectively and consistently through the mine life helps miners to maintain sustainability in their operations. Drilling and blasting as a key activity in the mining cycle have a key role in operational risk m

Consensus

Backwards Compatibility and Extensions,. Nevertheless, there is a big gap between the current analytical situation and desired level of maturity that is needed to use advanced analytics in mining practically. The mentioned gap is not just in the technological development in the mine sites; the significant research gap also has been ident

Obligatory

Backwards Compatibility and Extensions,nderground and surface mines sites. The development of new technology to collect the data from the blasting operation provides an opportunity for mining companies to think about applying machine learning (ML) and artificial intelligence (AI) methodologies for prediction and optimization. There are m

BUCK

https://doi.org/10.1007/978-1-4302-0046-8main objective of these processes is to achieve fragmentation in the desired size, conforming to the limitations defined for ground vibration, air overpressure, flying rocks, and stability. Fragmentation is a key aspect of downstream processes, such as haulage and mineral processing. The success of