... is demonstrated on both synthetic and field examples. Presentation Date: Wednesday, September 27, 2017 Start Time: 8:30 AM Location: 381A Presentation Type: ORAL procedure imaging annual meeting detection wavefield feature space scatterer back propagation artificial intelligence velocity model...

... in the feature space for Figure 2: Amplitudes collected along indicated curves on Fig- ure 1. Point scatter diffraction operator (top); Edge diffraction operator has phase inversion at the edge coordinate (middle); Diffraction operator associated with a reflection (bottom). which the associated class label...

... al., 2005). permeability value annual international meeting log analysis svm kernel function upstream oil & gas machine learning feature space permeability training data matrix support vector machine relation artificial intelligence transformation dimensional space support...

... by maximizing the margin between two classes in the feature space. Because of this, it has been applied widely in many fields such as classification, regression, face recognition and time series prediction. SVR (Support Vector Regression) is an application of SVM for function regression. In this paper, we...

...-statistical realizations in the kernel feature space. A pre-image is then calculated to visualize the de-noised seismic data as a reservoir model. This pre-image is calculated many times in order to assess the uncertainty in the optimization. An expectation model and a variance model of the original set...

... the following idea: It maps the input vectors x into a high-dimensional feature space Z through some nonlinear mapping, chosen a priori . In this space, an optimal separating hyperplane is constructed to separate data groupings. intercept programming problem optimal hyperplane probability...

... ABSTRACT No preview is available for this paper. configuration reflection data feature space artificial intelligence correlation kris vasudevan vasudevan reservoir characterization interpretation deep crusted profile seismic skeletonization doublet triplet reflectivity...

... ABSTRACT No preview is available for this paper. cumulative cost seismic event artificial intelligence assessment classification incremental cost vector extraction discriminant analysis feature space interpreter berkhout search technique netherlands university upstream...

... wavelet reservoir characterization information-theoretic approach instantaneous frequency feature space divergence machine learning transformation envelope Seismic 10 539 I .I. I _ .I( .. a . . . . . . . I __ .- I FIG.6. Further thinningof Figure 5a. tive procedurewhich consistsof four...