Precomputed databases of sensor responses are used to convert measurement data into properties of interest, for example, conductivity or lift-off. These databases of responses may be generated prior to data acquisition and provide sensor response values that span appropriate ranges for the property values. After data acquisition, estimates for the property values are obtained from measurement values by minimizing the difference between the database of responses and the measurement values. The minimization can take the form of a least-squares minimization. Alternatively, iterative techniques can be used to minimize the difference between the database and measurement values.