Curve normalization identifies and removes systematic errors from well log data so that reliable results may be obtained for reservoir evaluation, solving difficult correlation and seismic modeling problems. It is especially critical for any work involving batch-mode computer processing. The normalization equation is a function of four variables, two of which are defined for each well and two of which are related to regional lithologic patterns. Well-to-well comparisons are made using histograms, crossplots, depth plots, and statistical measurements. Prior publications on normalization have been individual case studies. This paper describes methods that can be applied generally, and provides guidelines for their use in a variety of rock suites. Also discussed are the errors that are expected for the various curve types, and suggested methods for correcting them. Factors to be considered in planning a normalization project include the rock types and compaction patterns in the study area, hole rugosity, curve types, and the stratigraphic level at which run changes take place. Guidelines are provided to avoid the introduction of additional inaccuracies. Even with these caveats, an irreducible random error will remain in the data.

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