One step ahead in accuracy...
RECONSTRUCTING GEOLOGICAL STRUCTURES USING GEOPHYSICAL MODELLING AND INVERSION
(For Mineral, Metal, Oil&Gas, Water, Geotechnical And Environmental Explorations)
GEOPHYSICAL MODELLING AND UNSTRUCTURED MESH
Complex Data Require Accurate Modelling
At Geotexera, we specialize in 3D unstructured meshes for geophysical models and inversions. This cutting-edge technique allows us to quickly and accurately add borehole information, geological contacts, high-resolution topography, and surfaces (generated by Leapfrog, GOCAD, and more...) to increase the reliability of model results.
Today, in mineral, oil&gas, water, geotechnical and environmental explorations, new problems and challenges need new and modern solutions. We use advanced geophysical inversion methods (independent, joint, and constrained) to image and reconstruct geologic structures from geophysical data. We model and interpret many types of geophysical data, including magnetic, gravity, gravity gradiometry, magnetotelluric, and seismic.
Forward modelling is an interpretation method in which we generate synthetic geophysical data based on known or experimental physical properties and geometries. This can define the size, position, and contribution of geological structures in geophysical data.
Machine learning methods can produce or improve geological maps and predict subsurface resources in geophysical data. We use both unsupervised and supervised machine learning methods on geophysical, geological, geochemical, radiometric, and remote sensing datasets.
A Brief Review of tools and methods
(We use all of them to provide you with the most reliable results ...)
Unstructured meshes (triangular for 2-D and tetrahedral for 3-D)
Rectilinear meshes (the old conventional one)
We prefer and recommend (new) unstructured meshes not only because of their higher accuracy but also it is time to move on to real models!
-To learn more about methods (from papers), click on underlined words.