The selected subset is determined by a process of forward stepwise regression, which derives increasingly larger subsets of attributes.
The objective is to derive a multiattribute transform, which is a linear or nonlinear transform between a subset of the attributes and the target log values. From the 3-D seismic volume a series of sample-based attributes is calculated. The target logs theoretically may be of any type however, the greatest success to date has been in predicting porosity logs.
The analysis data consist of a series of target logs from wells which tie a 3-D seismic volume. We describe a new method for predicting well-log properties from seismic data.