Furthermore, the analysis of 3D geological modeling of concealed orebodies is a process that contributes to understanding the metallogenesis of mineral deposits. Given that metallogeny is a study of the genesis and regional distribution of mineral deposits and emphasizes their spatial and temporal relationships, this paper uses empirical knowledge to predict the locations of concealed mineral deposits.
The evolution of various factors affecting the development of geological processes in space and time is discussed, including the assessment of models combining regional deformation-magmatic activity-mineralized hydrothermal fluid based on empirical knowledge. The simulation of ore-forming processes for concealed mineralization requires the assessment of a region’s structural geology, ages of lithological units, degree of metamorphism, and role of magmatism in the genesis of mineralization. Based on these confidence levels, only a Measured Resource can be converted to a Proved Reserve and Indicated Resource can be converted to a Probable Reserve as outlined in the JORC code. Where the Modifying factors are not known with sufficient confidence a Measured Mineral Resource may only be converted to a Probable Reserve.This study focuses on the selection of a method combining simulations of mineralizing processes with three-dimensional (3D) mapping to quantitatively predict locations of concealed mineralization and to reduce uncertainty and multiplicity. Mineral Resources are classified as either Measured, Indicated or Inferred based on geological knowledge and confidence. Every seam thickness distribution should be assessed individually to produce thickness data and its variations. The extent of the coals and their distribution across the prospect area should be well understood in reserve/resource analysis. In first stage, we build a coal inventory system for all data from the prospect area. Especially coal depths and thickness are significantly important for accurate coal prospectivity assessments. All assumptions are based on coal seam correlation methodology and analogue coal seams. It is important to note that the term ‘prospective resources’ rather than reserves must be used when describing potential volumes expected from these areas since they contain undiscovered (recoverable and unrecoverable) volumes of coal. CSG-EPS provides high level of data assessment and follow all engineering procedures in JORC Reserve/Resource Estimation Protocol. The coal reserve calculations are based on definitive polygonal resource estimation techniques over the extensive drill core and petro-physical database. The approach to estimate coal resources in the prospect, the area is to be divided into grids, assign clean coal thickness to each grid, and then calculate coal reserves for each grid.
These assumptions include mining, processing, metallurgical, infrastructure, economic, marketing, legal, environmental, social and governmental factors (JORC, 2012). Ore Reserves are the economically exploitable portions of the Mineral Resource based on a set of assumptions (Baldwin et al, 2014). JORC (2012) defines a Mineral Resource as a “concentration or occurrence of solid material of economic interest in or on the Earth’s crust in such form, grade (or quality), and quantity that there are reasonable prospects for eventual economic extraction”. The assumptions are based on the level of confidence in accordance with the existing data in the prospect. The term “net coal thicknesses refers to the cumulative thickness of strata classified as coal. Estimates of coal resources depend directly on net-coal thickness, coal density, and ash yield, and indirectly on coal rank, structure, hydrogeology, and topography.
#DENSITY UNITS IN SURPAC CODE#
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