Basement Mapping Using Nonlinear Gravity Inversion with Borehole and Seismic Constraints

We present an integrated method for mapping the basement structures of sedimentary basins by combining surface gravity data, seismic imaging, and borehole logging information. The core is a nonlinear inversion algorithm constructing shape depth from data. By using primal-logarithmic barrier method, we impose constraints was imaged interpretation incorporated into as reference model. As result, constructs that are closest to input while simultaneously satisfying data used this new methodology unveil morphology Recôncavo Basin, Brazil. syn-rift onshore mature basin exhibits strong correlation between oil field distribution tectonic framework. imaging in area ambiguous, our approach improved definition highlighted exploration targets studied area.