![]() An extension of conventional crossplotting involves the use of a convolutional operator to resolve frequency differences between the target logs and the seismic data. ![]() 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.
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