The integration of results from separate geophysical surveys in order to derive a geological interpretation is complicated beyond a qualitative correlation. In this study, we propose a joint interpretation of three separate geophysical datasets (a velocity model, a resistivity model and well logs) to characterize geological transitions in a gypsiferous context, (Villar de Cañas, Cuenca, Spain). By interpolation, we integrate the velocity and resistivity data in a single 3D grid and, in order to derive a geological joint interpretation, we apply a supervised statistical classification method, LDA. The algorithm is fitted using a training set compiled from the well logs. Thus, every node is lithologically classified according to its velocity-resistivity relationship, resulting in a new 3D lithological model. This new model integrates both, seismics and electrics resolution capacities, showing better agreement with geology data than those resulting from the application of these techniques separately.

La financiación y el acceso a la base de datos geológica y geofísica han sido proporcionadas por ENRESA. Ref. 20133830

Peer Reviewed