What is it about?
This is an unbiased and objective method to differentiate oil and gas bearing sands from wet sands using unsupervised neural networks in an AVO crossplot. This process streamlines the interpretation approach instead of guessing or refining a crossplot interpretation through trial-and-error.
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Why is it important?
Removing an interpretation bias from AVO cross-plot interpretation will result in more objective AVO assessments of exploration leads and prospects.
Perspectives
Far too often AVO cross-plot interpretation is performed in a subjective manner, with the focus emphasizing outliers (hydrocarbon-bearing strata), and not the background trend (wet sand and shales). This approach removes any subjective "hype" of the outliers by allowing the cross-plot clusters to be determined using UVQ. If they are significant outliers they will be clustered as such.
Dr Christopher P Ross
Cross Quantitative Interpretation, LP
Read the Original
This page is a summary of: Unbiased AVO crossplotting?, The Leading Edge, April 2016, Society of Exploration Geophysicists,
DOI: 10.1190/tle35040338.1.
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