Sometime high-grade ore is asked by the management for blending in order to fulfill the demand of market.Ī 3-dimensional mining model is developed under a block model and the whole process is known as block modelling. From the planned data the management can schedule the particular zone where to mine out the mineral at a particular time. Planning is required for quantifying the resources and bring them by giving some weightage. Mine planning is necessary for determination of total reserve and calculation of average grade value for a particular deposit in order to make it reality. Grade estimation by using different geo-statistical techniques are done by SURPAC mine planning software. The application of ISDW and OK were implemented to build the resource model together in order to assess the uncertainty of the deposit. The assay values were properly validated and concluded accordingly. The assay value of CaO were determined 45.85 and 44.67 percentage respectively. The assay value of CaO was also estimated by two linear method of estimation i.e ISDW and Ordinary Kriging (OK). The average assay value of those individual constituents were 45.85, 15.94, 1.56 and 0.82 percentage respectively. The assay value of individual constituents of limestone ore i.e CaO, SiO 2, Al 2O 3 and Fe 2O 3 were determined for a block by using Inverse Square Distance Weighting (ISDW) method. The limestone ore deposit was studied in this paper. The uncertainty of geological deposit can be populated by geo-statistical tools. Geostatistical tools became popular because of its high degree of accuracy and time saving process for estimation. Geostatistics plays an important role for reserve estimation in mining industry. SNIP takes into account characteristics of the source's subject field, which is the set of documents citing that source. It helps you make a direct comparison of sources in different subject fields.
SNIP measures a source’s contextual citation impact by weighting citations based on the total number of citations in a subject field. Source Normalized Impact per Paper (SNIP): N/A ℹ Source Normalized Impact per Paper(SNIP):
SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.
It is based on the idea that 'all citations are not created equal'. The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. SCImago Journal Rank (SJR) 2018: N/A ℹ SCImago Journal Rank (SJR): CiteScore is the number of citations received by a journal in one year to documents published in the three previous years, divided by the number of documents indexed in Scopus published in those same three years.
0 kommentar(er)
