Jupyter Notebook is a versatile tool designed for interactively developing and showcasing data science projects. It allows you to seamlessly combine code, visualizations, descriptive text, and other rich media into one document, offering an integrated and expressive workflow. This guide will walk you through the process of installing Jupyter Notebook locally and creating your first project.
This post explores how X-ray plunge projection can be used to analyze ore grades effectively, offering new insights into the mineralisation patterns and geological structures. Maximum Intensity Projection (MIP) enables geologists to visualise the high-grade orthogonal projection of mineral deposits by highlighting the highest-value point from a point cloud along a specific line of sight. This method's primary advantage lies in its simplicity and speed, allowing geologists with structural analysis expertise to quickly identify structural controls within a deposit. It proves particularly effective in scenarios where high-grade zones are concealed by surrounding lower-grade material, offering an "X-ray" view of the deposit.
Drillhole desurveying is the process of calculating accurate XYZ coordinates along a drillhole's length using its collar location and downhole survey data. Survey measurements record the azimuth and dip at intervals, creating a dataset that allows for the 3D reconstruction of the drillhole's true path. This process is critical as it ensures that the geological data points accurately reflect the drillhole's orientation and curvature, which is essential for reliable grade estimation, geological modeling, and mineral resource evaluation. Accurate desurveying minimizes errors in resource estimation, supporting more precise mining and exploration activities.