Abstract
Core data are commonly used to calibrate reservoir parameters with wireline logs, so that the log data can be used to propagate the reservoir properties over the zone of interest or into three-dimensional reservoir models. However, such a calibration is often suboptimal, either because it is built without incorporating basic tenets of statistical modeling or built with biased samples. We discuss pitfalls in calibration between data from different sources (e.g., core, log, and seismic) using linear regression because it is the most commonly used modeling method.
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