Gravity and Magnetics
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3-D gravity and/or magnetic inversion with image focusing and data compression

By Oleg Portniaguine and Michael Zhdanov

Interpretation of three-dimensional gravity and/or magnetic data over inhomogeneous geological structures is still a challenging problem of exploration geophysics. The traditional geophysical inversion methods are usually based on using maximum smoothness stabilizing functional. The obtained solution usually provides a smooth image, while the real geological structures are typically characterized by the strong contrast in the physical properties of the different blocks and layers. In the paper (Portniaguine and Zhdanov, 1999) we introduced a new approach to reconstruction of geological images, which is based on using specially selected minimum support or minimum gradient support stabilizing functionals. These functionals allows to obtain sharper image while generating a stable solution of the inverse problem for complex geological structure. We call this approach focusing inversion images. The methods of image focusing and data compression have been applied to 3-D potential field inverse problem. Focusing allows resolution of the structures with sharp boundaries. It is especially important for potential fields where the smooth invertion often looks simply similar to the observed data and thus provides little additional information. The compression allows inverting large datasets (such as airborne data) with the modest computing resources (Portniaguine and Zhdanov, 1999; Portniaguine, 1999; Zhdanov et al., 1999). The following model study and real data example illustrate the principles of 3-D magnetic inversion with focusing and compression.

Model study

We considered three models similar to those discussed in the paper by Li and Oldenburg (1996). The models were 1) a model of a cube with the anomalous magnetic susceptibility (Figure 1, top panel); 2) a 3-D magnetic susceptibility model of a dipping slab (Figure 1, middle panel); and 3) a 3-D magnetic susceptibility model of a faulted slab (Figure 1, bottom panel). Upper panel shows model of a cube, middle panel shows model of a dipping slab, and lower panel shows model of a faulted dipping slab.


Figure 1. The vertical sections of the true models. Upper panel shows a cube model, middle panel shows a dipping slab model, and the lower panel shows a faulted dipping slab model.

Figure 2. Synthetic magnetic data for the models presented in Figure 1. Upper panel shows data for a cube model with the vertical magnetization of the inducing field. Middle panel shows data for a slab model with the inclination I=75 and d 5 degree of the inducing field. Bottom panel presents data for the faulted dipping slab model with the inclination I=45 and declination D=45 degrees of the inducing field.

Figures 3, 4, and 5 present the inversion results for all three models.


Figure 3. The vertical cross-section of the true cubic model (upper panel), the smooth inversion result (middle panel), and the focusing inversion result (lower panel).

Figure 4. The vertical cross-section of the true dipping slab model (upper panel), the smooth inversion result (middle panel), and the focusing inversion result (lower panel).

Figure 5. The vertical cross-section of the true faulted dipping slab model (upper panel), the smooth inversion result (middle panel), and the focusing inversion result (lower panel).

The smooth images provide useful information about the location and geometry of the models, but the images are diffused and unfocused, while the focusing inversion reconstructs very well the original models of the cube and the slab. The fault is practically invisible in the smooth image, while it can be clearly recognized in the sharp image.

>Interpretation of airborne magnetic data

Figure 6 presents the observed airborne magnetic data, provided by ExxonMobil Upstream Research Co (Portniaguine and Zhdanov, 2000). Red lines show the flight path.


Figure 6. A map of airborne magnetic data. Red lines show the flight paths.

We applied to this data the conventional smooth inversion and the new developed inversion method with focusing and compression. Figures 7-9 show the results of the inversion.


Figure 7. Panel (a): Original data. Panel (b): residual data associated with shallow anomalies. Panel (c) The smooth inversion result, a horizontal slice of the inverse magnetic susceptibility distribution at a depth of 800 m. The color scale corresponds to anomalous susceptibility in SI units. Panel(d): The focusing inversion result, horizontal slice of the inverse magnetic susceptibility distribution at a depth of 800 m.

Figure 8. The 3-D projection of the focusing inversion result, the inverse magnetic susceptibility distribution at a depth of 1100 m.

References

Li, Y., and D. Oldenburg, 1996, 3-D inversion of magnetic data: Geophysics, 61, No. 2, 394-408.

Portniaguine O., and M.S. Zhdanov, 1999, Focusing geophysical inversion images: Geophysics, 64, No. 3, 874-887.

Portniaguine O., 1999, Image focusing and data compression in the solution of geophysical inverse problems: PhD dissertation, University of Utah.

Portniaguine, O. and M.S. Zhdanov, 1999, Compression in inverse problem solution: Proceedings of 1999 CEMI annual meeting, 595-618.

Portniaguine O., and M. S. Zhdanov, 2002, 3-D magnetic inversion with data compression and image focusing: Geophysics, 67, No. 5, 1532-1541.

Zhdanov, M.S., Portniaguine O., and G. Hursan, 1999, Compression in 3-D EM integral equation electromagnetic modeling: Second International Symposium of Three-Dimensional Electromagnetics, University of Utah, 209-212.


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