Multi-Volume Attributes (MVA) is a module for quantitative interpretation teams and oil companies interested in unconventional and 4D applications. MVA ensures reliability of inversion outcomes to avoid inconsistent near and far partial stacks that may render the outcomes of AVO inversion unreliable.
MVA determines reliability of inputs to 2D and 4D inversions to establish if two sample data volumes are similar by:
Key features include two attribute measures that are sensitive to noise, amplitude, static and phase differences between the input volumes.
From a cross-plot of Correlation and NRMS, we have two attributes: Quality and Anomaly.
Multi-Volume Attributes enables key QC steps:
Coleou, T., et al., 2013, AVO QC During Processing, 75th EAGE Conference & Exhibition Abstracts
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