Reservoir parameters Emerge from multi-attribute analysis (December 1998)

Hampson Russel’s new Emerge software useswell log and seismic attributes to predict reservoir properties such as porosity,lithology and permeability

The new process involves ‘training’ the program at selected locations on the volume using measured well log curves. Emerge determines which combination of attributes are best used to predict a given parameter at these known locations, and then applies that combination of attributes to the entire seismic volume. A validation analysis is performed to ensure the program has not ‘over trained’ the given data set. Two independent methods can be used in the prediction process: weighted convolutional sum (derived from the covariance matrix) and artificial neural networks (ANN). More from Hampson on

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