The results of the case study quantify the risk associated with the product's silica content, total iron production and expected discounted annual cash flows. Underground limestone miningUnderground mines have been used for the production of aggregates since the late 1890s with the first underground aggregate mining to be recorded in Kansas City (Stauffer, 1975). Grade estimation by using different geo-statistical techniques are done by SURPAC mine planning software.
#Surpac application on limestone mine software
The SURPAC Lite Module is the entry level suite of Survey Software applications and represents the minimum purchase of SURPAC for Windows XP. The application of ISDW and OK were implemented to build the resource model together in order to assess the uncertainty of the deposit. Surpac - Quarry Edition - Gemcom Surpac is a popular geology and mine planning software suite, supporting open pit and underground operations and exploration projects in more than 110 countries. The latter stochastic optimisation model is employed to manage and minimize the risk associated with the geological uncertainty of the deposit in terms of meeting production targets while generating a mining sequence of extraction maximising the net present value. The assay values were properly validated and concluded accordingly. Subsequently, the simulated scenarios of the iron deposit serve as an input to a life-of-mine stochastic integer programming production-scheduling model. The pertinent grade properties, namely, head iron, Davis Tube weight recovery, Davis Tube concentrate iron and silica content (multi-element grade uncertainty) are jointly simulated using the direct block minimum/maximum autocorrelation factors algorithm. In this case study, the boundaries of the lithologies (volumetric uncertainty) defining the KéMag iron ore deposit are generated using a pattern-based wavelet simulation algorithm. The approach first quantifies both the volumetric and multi-element grade uncertainty of the deposit by generating a set of equally probable scenarios of the orebody. This paper focuses on the application of the stochastic strategic mine planning for technical risk management in the KéMag iron ore deposit in Quebec, Canada, demonstrating the key steps of the framework. Lhoist North America engages in extracting, manufacturing, and marketing lime-based and clay mineral products in North America.
more Stochastic optimisation provides a framework that is capable of generating a strategic life-of-mine production schedule that increases net present value while simultaneously reducing the risk associated with geological uncertainty. CASHIER ASSISTANT (RANG FROM : 300 - 500) - BULLS TRACTOR TRADING CO LTD Accounting - SOR YIM TRANSPORTATION CO.,LTD. Stochastic optimisation provides a framework that is capable of generating a strategic life-of-mi.