GAMLSEIS
Make some sense out of all your seismic attributes with GAMLSEIS. The GAMLSEIS program clusters seismic attributes using the Geologic Analysis via Maximum Likelihood System method. The clusters are separated into modes using a model-based, maximum likelihood system wherein each sample is assigned to each mode with a fractional probability (mode probability assignment). Therefore, samples are assigned to clusters that have similar seismic properties. The goal of clustering is to group samples into modes, which are distinct from one another as much as possible. The degree of distinction of one mode to another is proportional to the degree of its isolation when located in n-space (where n is the number of different seismic trace types used). The degree of isolation will vary somewhat with the number of modes used. This degree of isolation is measured for each solution by a computation of the entropy of the system. For distinct modes, the maximum entropy (Em) possible is equal to the natural logarithm of the number of modes present. For modes that overlap in n-space, the solution entropy (Es) will be somewhat less than the Em, and the difference between Es and Em will generally increase with the degree of overlap among the modes.
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