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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
Sand Thickness Prediction
Fluid Prediction
Well Suggestions
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Reservoir Characterization Solutions
 

Reservoir Characterization Solutions: geoDataMiner*

Fluid Content Prediction

  The fluid parameter, such as water saturation, can be determined from single well solution

   Hydrocarbon Pore Volume is another fluid parameter to reflect hydrocarbon accumulation. The Volume can be calculated from porosity, water saturation, sand thickness

  The Support Vector Regression (SVR) will be used to build the bridges between  fluid parameter and sliced-property

   The training phase of SVR will generate a prediction function from both fluid content of borehole and sliced-seismic petrophysical property

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

 

 

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