1887

Abstract

Summary

The joint inversion of different geophysical data sets can reduce considerably the inherent ambiguity in the inversion of individual data sets. The Cross-gradient method, first developed by , tries to obtain subsurface images with parallel parameter changes without restricting the parameter values or the magnitude of their variations ( ).

In order to do a joint inversion of gravity and magnetic data, we followed the algorithm of who added a new regularization parameter into the second term of the parameter correction vector of . The new regularization parameter controls the contribution of the cross gradient term in the solution.

Available gravity and magnetic data (on a potash source) have been already inverted separately in an integrated approach ( ). In order to acquire two more compatible models a joint inversion method is necessary.

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/content/papers/10.3997/2214-4609.201802734
2018-09-09
2024-04-26
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References

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