Eslan Labs fuses the available data sets using the most up to date stable multi-scale horizontal and vertical derivative algorithms.
Our experts use an integrated approach involving a combination of the tilt-depth and spectral inversion methods to determine the basement depth and enhanced derivatives and Euler deconvolution to characterize structure.
Applying multiple methods to the same anomaly greatly improves the reliability of basement depth results. Fusing gravity and magnetic data builds an overview of the deep basins.
No single basement depth estimate method is best overall
At present there is no standard in selecting a reliable basement depth solution. Each basement depth estimation method has advantages, but all rely on the analysis of the anomalous gravity or magnetic field to determine basement depth and location of sources. They tend to identify the upper edges/corners of magnetized geologic structures since they use higher-order derivatives of the magnetic field, so enhancing the shallower anomalies.
In order to produce an accurate basement depth solution, Eslan Labs uses a range of complementary methods including spectral, analytic signal, tilt derivative, and extended Euler convolution, together with experience and geologic and geophysical knowledge but universally, determining basement depth requires stable derivatives.
Euler methods commonly produce a confusingly large number of solutions and so we developed methods of focussing these solutions by statistically identifying significant source solutions, and discarding noise.
This means that estimates of basement depth on basin flanks are well-resolved but the deepest parts of basins are often underestimated.
It is easy to calculate the derivatives used for qualitative interpretation such as the lineament analysis, but it is difficult to calculate derivatives required by quantitative analyses such as basement depth interpretation.
All our methods avoid both user bias, unstable generation of vertical derivatives using the FFT-tools, and the problematic moving window algorithm underpinning many commonly used methods that causes scattering of solutions from interference,
We use a rigorous approach to fuse the range of resulting basement depth solutions, so the solutions are more reliable than single solution depth estimates related to individual anomalies compared to clustered solutions.
Structure inferred from a fusion of gravity and magnetic to basement depth estimates provides insight into the evolution of basin compartmentalization, salt kinesis, and localization of reservoir-bearing structures in areas where the inherited basement architecture has affected basin evolution and development.