The Elements of mining engineering [microform] /

Includes indexes.

Modern mining practice : a practical work of reference on mining engineering /

Short bibliography at end of each volume.

Mineral land surveying : a technical treatise on the surveying and patenting of mineral land, designed for the use of Deputy Mineral Surveyors and Students of Mining Engineering, with an appendix of contributed notes of interest /

Reprint. Originally published: Denver : The Mining Reporter Publishing Company, 1906.

Engineering mechanics; electrical, civil, mechanical, and mining engineering.

Nos. [1]-240, 1882-91, form v. 1-13; nos. 241-310, 1892-Oct. 1897, have no volume numbers; nos. 311-336, Nov. 1897-1899, form v. 16, nos. 11-12, v. 17-18, no. 11.

On the Dynamics of Mining Operations in Open Pit Mines

In this paper, mining dynamics is defined as the relationship between the mining rate and movement of mining operations conducted on the benches of a surface mine. This relationship describes the intensity of the pit development in space, in order to meet ore demand at the mill over time. Meeting the mill ore demand is a key factor in optimizing production scheduling in surface mines. Displacement velocity of mining operations within cutbacks, or independent pit units, is introduced in the context of long-term mine planning. Displacement velocity allows the place and time of transition of the mining operations from one independent pit unit to another to be determined as the condition for meeting the mill ore demand. An application using data from Mt Keith Nickel Operations in Western Australia is used to elaborate on the methods presented.

Quantification of geological uncertainty and risk using stochastic simulation and applications in the coal mining industry

Stochastic simulation is a recognised tool for quantifying the spatial distribution of geological uncertainty and risk in earth science and engineering. Metals mining is an area where simulation technologies are extensively used; however, applications in the coal mining industry have been limited. This is particularly due to the lack of a systematic demonstration illustrating the capabilities these techniques have in problem solving in coal mining. This paper presents two broad and technically distinct areas of applications in coal mining. The first deals with the use of simulation in the quantification of uncertainty in coal seam attributes and risk assessment to assist coal resource classification, and drillhole spacing optimisation to meet pre-specified risk levels at a required confidence. The second application presents the use of stochastic simulation in the quantification of fault risk, an area of particular interest to underground coal mining, and documents the performance of the approach. The examples presented demonstrate the advantages and positive contribution stochastic simulation approaches bring to the coal mining industry