Editing Kimberlite (section)

=== 3-D modeling ===
<!-- Deleted image removed: [[File:BK16-Fig3.jpg|thumb|Kimberlite pipe 3D model]] -->
Three-dimensional (3D) modeling offers a comprehensive framework for understanding the internal structure and distribution of key geological features within potential diamond-bearing deposits. This process begins with the collection and integration of various datasets, including drill-hole data, ground geophysical surveys, and geological mapping information. These datasets are then integrated into a cohesive digital platform, often utilizing specialized software packages tailored for geological modeling. Through advanced visualization techniques, geologists can create detailed 3D representations of the subsurface geology, highlighting the distribution and geometry of kimberlite bodies alongside other significant geological features such as faults, fractures, and lithological boundaries. Within the model, efforts are made to accurately depict the internal phases of kimberlite pipes, incorporating different [[facies]], country rock xenoliths, and mantle xenoliths identified through careful interpretation of drill-core data and geophysical surveys. Once validated, the 3D model serves as a valuable decision-making tool, offering insights into potential diamond-bearing potential, identifying high-priority drilling targets, and guiding exploration strategies to maximize the chances of successful diamond discoveries.<ref>{{Cite journal |last1=Lépine |first1=Isabelle |last2=Farrow |first2=Darrell |date=2018-12-01 |title=3D geological modelling of the Renard 2 kimberlite pipe, Québec, Canada: from exploration to extraction |url=https://doi.org/10.1007/s00710-018-0567-x |journal=Mineralogy and Petrology |language=en |volume=112 |issue=2 |pages=411–419 |doi=10.1007/s00710-018-0567-x |bibcode=2018MinPe.112..411L |issn=1438-1168}}</ref><ref>{{Cite conference |last1=Hetman |first1=C. M. |last2=Diering |first2=M. D. |last3=Barnett |first3=W. |chapter=Generation of 3D kimberlite pipe models for resource classification and mine planning: Data sources, procedures, and guidelines |date=2017-09-18 |title=International Kimberlite Conference Extended Abstracts: 2017 |chapter-url=https://ikcabstracts.com/index.php/ikc/article/view/4005 |language=en |volume=11 |doi=10.29173/ikc4005|isbn=978-1-55195-425-7 }}</ref>