Recognition and Classification of Hydrocarbon Layers: logOGW

     Uses multi-well dataset from GeoInversion system

     Knowledge-based Support Vector Machine for training and prediction

    Training dataset of hydrocarbon layers from several wells

    Layer logs and inversion results as input dataset for training and prediction

     Crossplot to validate layer-input dataset

     Well coordinate system and layer depth can be considered as input dataset

    17-levels to classify hydrocarbon layer and fuzzy membership to define the 17-levels 

     Water-Gas-Oil percentage of fuzzy membership to define hydrocarbon layers, such as water layer(1-0-0), gas(0-1-0), oil(0-0-1), dry(0,0,0), etc

    Playback well logs and interactively defines the permeable layers.