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Trains a linear neural network (LNN) to estimate reservoir properties from rock properties and derived properties (relative properties and reflectivities). Analysis can be done in depth at well-log resolution or in time at seismic resolution.
Reservoir properties
- Trains an LNN to estimate reservoir properties from rock properties and derived properties.
- Provides the parameters to estimate reservoir properties from seismic data
- Analysis can be done in depth at well-log resolution or in time at seismic resolution
Probability analysis – Under development
Sensitivity Bar-graph
- Evaluates the weight that selected attributes have in the estimation of a given reservoir property. Results are presented in a bar-graph