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Reservoir Characterization
Reservoir Description Workflow
GeoDataMiner
Seismic Petrophysical Property Slice
Irregular to Regular
Seismic Petrophysical Property Anisotropic
Seismic Petrophysical Property Mapping
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Reservoir Characterization Solutions
 

Reservoir Characterization Solutions: geoDataMiner*

Seismic Petrophysical Property Mapping

   The well data is a sparse and the seismic is low vertical, to combine both dataset is crucial for reservoir characterization.

  The sliced seismic petrophysical property is re-scaled and re-interpolated into regular gridding property.

   Extract sliced regular seismic petrophysical property near well position

   Layer-logs property from target stratigraphic formation

  The Support Vector Regression will be used to build the bridges between layer-logs of target layer, such as porosity and volume of shale, and sliced-seismic petrophysical property.

 

   The training phase of SVR will generate a prediction function from both layer-log property and sliced-seismic petrophysical property

  The mapping phase of SVR will make the prediction based on the function

  After mapping, a reservoir property will be generated. The reservoir property is named seismic petrophysical property.

  Seismic petrophysical property property display and contour mapping

  Regular sliced seismic petrophysical property property display and contour mapping

   Interactively update contour label and contour lines and zoom in/out

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