Abstract
Multi-attribute rotation scheme (MARS) is a methodology that uses a numerical solution to estimate a mathematical expression that can be used to estimate a petrophysical property from a set of elastic attributes. This is done by computing a new attribute in the direction of maximum change of a target property in a n-dimensional Euclidean space formed by n attributes, and later scaling this attribute to the target unit properties. This approach is performed using well-log derived elastic attributes and petrophysical properties, and posteriorly applied over seismically-derived elastic attributes. In this study MARS was applied in order to predict transforms to estimate water saturation and total porosity from elastic attributes, using a two and three dimensional approach, respectively. The final goal of this workflow is to apply these transforms over seismically-derived attributes to generate volumes of these properties, which can be used in production and exploration settings for reservoir characterization and delineation, as well as secondary variable in geostatistical workflows for static model generation and reserve estimation.
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