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Integrated Project Management
Geological Modeling
Reservoir Evaluation
Geophysical Modeling
Geophysical Interpretation
Geoscience Solutions
Syn-Seis Traces & LAS
Syn-Seis Models
Raster to Digital
Syn-Sonic-Density
Paul Gerlach
INPUT
Gamma Ray
Resistivity
Neutron Porosity
Density Porosity
Conductivity
OUTPUT
Sonic
Bulk Density
Neural Network
Need a Sonic and Don't Have One ?

Reliable Prediction of Dt & Rhob with Neural Networks


We apply advanced neural network technology to generate synthetic and validated wireline log data.

Forecaster XL works with existing data to learn the mathematical relationships between commonly available predictors such as SP, gamma ray, resistivity, and porosity data and then generates the less commonly available data, including sonic and bulk density.

The synthetic data that Forecaster XL generates can be confirmed by testing results against available target data from existing wells. The application also provides cross-plot and statistical analyses for validating results.
Synthetic Seismic Trace - Examples
Input Source: Original LAS
Synthetic Source: Sonic & Density

Neural Network Input Source: GR Resistivity Density
Synthetic Source: Synthetic Sonic & Density

Neural Network Input Source: GR Rt Neutron Porosity
Synthetic Source: Synthetic Sonic & Synthetic Density

Neural Network Input Source: Gamma Ray Resistivity Conductivity
Synthetic Source: Synthetic Sonic & Synthetic Density

Comparison of All 4 Seismic Traces
Neural Network Forecast Comparison
Kansas Digital
Home
Home
Integrated Project Management
Geological Modeling
Reservoir Evaluation
Geophysical Modeling
Geophysical Interpretation
Geoscience Solutions
Actual Sonic vs Forecast Sonic plus Statistics