These 2D or 3D models are used to represent, in an exploration or mining environment, a material mass (rock, sand, soil) with its associated characteristics defined as numeric or alphanumeric attributes.
The gridded modeling uses drillholes, channel samples, and user-defined 3D polyline data to create accurate and easy-to-use geologic models. A variety of industry-standard modeling algorithms are available, allowing to create stratigraphic grid models that are realistic, reproducible, and reliable.
Block models represent three-dimensional shapes, volumes, tonnages and grades of solids such as ore zones, waste zones and other volumes of geological or mineralogical interest. Block models consist of blocks, which are cubes or cuboids, stacked together to fill the defined volume as closely as the block sizing criteria will allow.
A 3D geological model is a comprehensive representation of subsurface geological structures and characteristics in a three-dimensional digital format. It integrates geological data, including drill hole information, geophysical surveys, and rock properties, to create a visual and interactive model of the Earth's subsurface.
This model enables geologists, miners, and exploration professionals to better understand the distribution of mineral resources, geological features, and potential risks beneath the Earth's surface. It plays a crucial role in guiding mining operations, resource estimation, environmental assessment, and decision-making processes in industries like mining, oil and gas, and environmental geology.
Geological modeling, a critical process in mining and exploration, typically involves the following steps:
1. Data Collection and Analysis: Gathering a wide range of geological data such as drill hole logs, geophysical survey data, and geochemical analyses. This data is then analyzed to understand the geological characteristics of the area.
2. Interpretation and Correlation: Interpreting the collected data to identify geological structures like faults, folds, and mineralized zones. This involves correlating data from different sources to create a coherent geological story.
3. Model Construction: Using specialized software, to construct a three-dimensional model of the geology. This model integrates all the interpreted data, representing the subsurface geology in a visual and interactive format.
4. Validation and Refinement: Continuously validating and refining the model as new data becomes available. This iterative process ensures the geological model remains accurate and up-to-date, reflecting any changes or new findings in the geological understanding of the area.
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