Oasis montaj Basin Modelling
Gravity and magnetic modelling for basin and regional studies
12-month named or shared licence
Oasis montaj Basin Modelling provides quantitative gravity and magnetic modelling, including forward modelling using explicitly defined subsurface geometry and physical properties.
It is used when gravity and magnetic data need to be interpreted through model‑based comparison, where calculated responses are evaluated against observed survey data to test and refine geological scenarios.
Geological, seismic, and well information is used to constrain the subsurface model itself, supporting structurally consistent interpretations and reducing reliance on visual correlation alone. While commonly used in basin and energy studies, the modelling approach can be applied across a wide range of geological settings and scales.
Oasis montaj Basin Modelling extends Oasis montaj with 2D gravity and magnetic modelling tools for basin structure modelling and regional interpretation. For projects requiring 2D and 3D gravity and magnetic modelling, alongside broader multi-method capability, Ultimate includes the full set of Oasis montaj desktop capabilities in a single licence.
Key Benefits
Model-constrained interpretation for gravity and magnetic data
Oasis montaj Basin Modelling is used when gravity and magnetic data need to be interpreted through explicit subsurface models.
Reduced ambiguity through geological and seismic constraints
Use geological, seismic, and well constraints to guide model geometry and reduce non-uniqueness
Testing alternative geological scenarios
Evaluate different geological scenarios against observed potential-field data using forward modelling
Direct comparison with observed survey data
Compare calculated gravity and magnetic responses directly with survey data
Key Features
Supported geophysical methods
Gravity
Magnetics
Gravity and magnetic modelling for basin and regional studies
Gravity and magnetic modelling workflows that use geological and seismic constraints to build subsurface models and test alternative interpretations through forward modelling.