geo3d
Geo3D (Geology 3D): Powerful and Accessible 3D Inversion
The software leverages dipole physics for 3D inversion, identifying geological structures by analyzing magnetic or gravitational dipoles and their depth-related circular patterns through Radon edge detection and Gaussian filtering for unique, stable numerical solutions. This approach, grounded in physics and mathematics, aids geologists in interpreting data from various sources to locate subsurface features. It’s fast, robust, and applies visual morphometric analysis effectively. Additional insights and updates on this innovative method are shared via Patreon and LinkedIn.
About Geo3D
The Python library Geo3D offers an effective method for modeling 3D geological structures using the potential inversion techniques. Geo3D not only performs the inversion but also provides functions to download source datasets from the open Google Earth Engine (GEE) platform and produce 3D output in VTK files. The output can then be post-processed in open-source software like ParaView and Blender to create high-quality, dynamic 3D geological models suitable for films, and for viewing in Virtual and Augmented Reality (AR/VR) on modern iOS and Android smartphones, as well as on specialized headsets.
This open-source library provides three output statistics. I also sell commercial software that detects vertical and horizontal density anomalies for gas and oil investigations and fractalities for mineral exploration tasks. Nevertheless, the open-source version is sufficient for numerous projects.
Theoretical Basics
Spectral Coherence between Gravity and Bathymetry Grids using Geo3D Python Library
Computer Vision Solution for the Inverse Problem of Geophysics
Jupyter Notebooks: Inversion of Gravity Mathematics
Raster, vector, and graph methods for geological lineament analysis
The Formation of Planetary Mountain Ranges and Faults
Building Reliable Geological Models
Computational Geology and Visualization
Use Cases
How to Find Gold Deposits in Lamuntet, West Sumbawa District, Indonesia
3D Lineament Geological Model of a 6.5-Magnitude Earthquake in Monte Cristo, Nevada, USA
Dynamic Model of Earthquake Lineaments 6.5 Magnitude in Monte Cristo, Nevada, USA
How to Find Gold Deposits in West Siberia, Russia
Digital Geology and Machine Learning
Identifying Au-Ag-Cu Mineralization Zones in Central Raja Lode, Lombok Island, Indonesia
Examples
ParaView and Blender VR for AR Geological Models
Augmented and Virtual Reality (AR/VR) Geological Models The dynamic models also available on YouTube as Blender Tambora Volcano Structural Model and Plume Simulation, Indonesia Enhanced Geothermal Model for Minahasa Compartment and Lahendong Geothermal Field
3D Lineaments and Inversion Geological Models of a 6.5-Magnitude Earthquake in Monte Cristo, Nevada, USA The dynamic models are available on YouTube as 4D Model for M6.5 - Monte Cristo Range Earthquake 2020-05-15 and 4D Lineament Model for M6.5 - Monte Cristo Range Earthquake 2020-05-15
Gold Deposits Prediction Model on Sumbawa, Indonesia