Layer | Fill | Outline |
---|
Map layers
Theme | Visible | Selectable | Appearance | Zoom Range (now: 0) |
---|
Fill | Stroke |
---|---|
Collaborating Authors
Results
SUMMARY We present a solution to Maxwell’s equations using decoupled scalar and vector potentials in the frequency-domain. The decoupling is achieved using a Schur decomposition, and has numerous attractive attributes. A finite-difference numerical solution is presented, in which the symmetry of the underlying problem is retained and exploited to reduce memory requirements and problem size. The decoupled problems are well-posed, and excellent performance can be realized using reusable preconditioners that are independent of conductivity model or source frequency.
3D Inversion of Gravity Data for Large Regions in Spherical Coordinates: Early Results for the Australian Region
Liang, Qing (China University of Geosciences) | Chen, Chao (China University of Geosciences) | Du, Jinsong (China University of Geosciences) | Lane, Richard (Geoscience Australia) | Li, Yaoguo (Colorado School of Mines)
Summary To perform a realistic 3D inversion of gravity data covering a significant proportion of the Earth’s surface, it is necessary to take into account the curvature of the Earth. We have developed an algorithm for inverting gravity data in spherical coordinates and have demonstrated this using data covering the continental mass of Australia and surrounding ocean areas. The density structures evident in the crust and uppermost mantle of the resultant 3D inversion model are in broad agreement with knowledge of the geological features for the region and with variations in the depth to the Moho that are present in the AusMoho model.
SUMMARY In this study, we present a new joint inversion algorithm for multiple geophysical data sets using petrophysical information as constraints by means of guided fuzzy c-means (FCM) clustering technique. We consider two possible types of petrophysical information that may be available in real life. Using two synthetic examples, we show that this new method can effectively incorporate the available petrophysical information into inversion and can greatly improve the definition of both structure and physical properties of inverted models. The improved petrophysical definition also enables the generation of a lithology map that is consistent with both the geophysical data and petrophysical information.
- Research Report (0.35)
- Overview (0.34)