• Effect of co-operative fuzzy c-means clustering on estimates of three parameters AVA inversion

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    • Keywords


      AVA inversion; reflection coefficient; fuzzy logic; co-operative algorithm; cluster analysis.

    • Abstract


      We determine the degree of variation of model fitness,to a true model based on amplitude variation with angle (AVA)methodology for a synthetic gas hydrate model,using co-operative fuzzy c-means clustering,constrained to a rock physics model.When a homogeneous starting model is used,with only traditional least squares optimization scheme for inversion,the variance of the parameters is found to be comparatively high.In this co-operative methodology,the output from the least squares inversion is fed as an input to the fuzzy scheme.Tests with co-operative inversion using fuzzy c-means with damped least squares technique and constraints derived from empirical relationship based on rock properties model show improved stability,model fitness and variance for all the three parameters in comparison with the standard inversion alone.

    • Author Affiliations


      Rajesh R Nair1 Suresh Ch Kandpal1

      1. Department of Geology and Geophysics, Indian Institute of Technology, Kharagpur 721 302, India.
    • Dates

  • Journal of Earth System Science | News

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      Posted on July 25, 2019

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