... classification Unsupervised classification of attributes derived from well log data in the Barnett Shale Bradley C. Wallet*,1, Roderick P. Altimar2, and Roger M. Slatt1 1)University of Oklahoma, Norman, OK USA; 2)DrillingInfo, Houston, TX, USA Summary Development of shale reservoirs such as the Barnett Shale...

... transferring the PS data to PP time) in an unsupervised classification. An expectation maximation type of clustering algorithm is applied with the underlying model assumption that attributes within each class follow a Gaussian distribution. The parameters of the Gaussian Figure 2: Generalized PP and PS AVO...

... Summary We investigate three methods for unsupervised classification of seismic data: k-means clustering, agglomerative hierarchical clustering, and the Kohonen self-organizing feature map (SOFM). Our tests include five variants of k-means and both 1-D and 2-D architectures for the Kohonen...

... ABSTRACT No preview is available for this paper. information watson carbonate structural geology unsupervised classification environmental impact assessment application reservoir characterization composition social responsibility recent application emissivity thermal data...

... ABSTRACT No preview is available for this paper. gullfaks field training data artificial intelligence mapping classification method unsupervised classification caprock supervised classification method seismic data upstream oil & gas seismic response drainage reservoir...