3Dgeologische

3Dgeologische refers to three-dimensional geological modeling, a method for constructing representations of subsurface geology in three dimensions. It brings together geological knowledge and geospatial data to depict the geometry of rock units, faults, unconformities, and fluid distributions.

Data sources include borehole logs, outcrop mapping, seismic reflection data, gravity and magnetic surveys, well-test information, and remote sensing. Models are built by integrating these data through structural interpretation, lithology modeling, and petrophysical property assignment. Modeling approaches include voxel-based grids, triangulated meshes, and implicit surface or object-based representations that enforce geological constraints such as stratigraphic order and fault connectivity. Geostatistical methods, such as kriging and conditional simulation, are used to interpolate or simulate properties like porosity and permeability, accounting for uncertainty. The modeling workflow often includes data conditioning, model building, validation against independent data, and scenario analysis.

Applications include petroleum reservoir characterization, groundwater resource assessment, mining geology and risk assessment, geotechnical engineering, geothermal energy, and environmental geology. 3Dgeologische models support visualization, resource estimation, flow simulations, and decision making for exploration, development, and remediation. They are commonly integrated with numeric simulators for groundwater flow, reservoir simulation, or slope stability analyses.

Software tools and platforms offering 3Dgeologische capabilities provide data management, interpretation, and visualization, including both commercial and open-source options. Challenges include data gaps, varying data quality, scale differences, and inherent geological uncertainty, which require rigorous uncertainty analysis and transparent documentation of assumptions. As data acquisition technologies improve, 3Dgeologische modeling continues to enhance the understanding and management of subsurface systems.