The integration of independent geophysical data sets allows reducing the risk and increasing the confidence when exploring complex geological settings, therefore maximizing the return on acquisition investment. In this context, gravity data are a successful candidate for the integration with seismic data, because of the limited acquisition cost and the excellent petrophysical similarity observed between velocity and density.

The maximization of the benefits attainable from combining multiple geophysical data sets is achieved when a quantitative approach, such as the simultaneous joint inversion (SJI), is implemented. Moreover, the integrated approach should be consistently applied throughout the whole geophysical processing and imaging sequence, encompassing time processing, near surface characterization and depth imaging.

The fulfillment of both the aforementioned conditions is desirable for solving complex geophysical challenges, such as faulted thrust-belt imaging, as discussed based on a case study from southeast Asia.


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