Facies creation at well levelFacies were created at well level from Vclay and porosity cutoff that cutoff

range were calibrated at well level against the testing interval to predict the reservoir performance which was best possible method in our area.

Three facies were identified based on cutoff range as mentioned:0 – Sand – Vclay<25% & PIGN>10%

1-Silt- Vclay- 25% - 50% & PIGN -4% -10%2 Shale – Vclay>50%

Facies were created at well level from GLOBAL log calculator

Vclay V/s PIGN Cross plot & Facies at Z Axis

Facies modeling

Facies log were scaled up to assign the properties at grid which is passing through the well.By most of avg method

3. DATA ANALYSISFacies log at log level is displayedWith facies proportion and itsProbailitycurves (zone wise) byDefault on opening this option.In order to edit the same goThrough theprobailitytab whereSelect the desired facies for editAnd define the range, outputWill be updated inprobailitycurve

Analyze the distribution of facies vertically through the model, edit this for use inFaciesModeling. This tab enables the user to assess and interactively edit curves that describe the vertical distribution of the different facies based on model layers. The vertical probability curves can later be used as input to control the vertical distribution of facies codes inFaciesModelingprocess

Analyze the distribution in the thickness of faciesbodies.

Mathematical characteristics, such asMinimum,Maximum,MeanandStandard Deviation(Std), attached to the facies codes are displayed above the window. These figures should be used to estimate the required thickness of bodies for use in the objectmodelingalgorithm inFaciesModeling.

Compare the facies to a continuous property (e.g. sampled seismic) and determine the probability of correlation. This function is commonly used for the calibration of seismic against facies. It can convert a seismic attribute cube into a facies probability cube ready for use inFaciesModeling(Sequential Indicator Simulation).

Itis important to be sure of a link between the seismic data and the facies before you begin the analysis, particularly if the control data is sparse. It is easy to generate a property linked to the seismic data and this will often look reasonable even though it may not be correct.

Variogram Map (Object Settings)Variogram maps are useful in determining anisotropy, and if data is scarce, determining in which direction there is enough data to make a stable sample variogram. Variogram map is a contour map (2D plot) of the sample variogram surface. It is automatically given the template Variance.

VariogramMap for P imp.

Variogram parameterFor vertical direction

Major direction was identified using core data of project wells which depict fluvial facies in Western direction and transitional facies towards eastern side of block which may be interpreted as channel with NE SW direction. This was again fine tune with search cone till maximum range is covered, variogram for minor direction were taken similarly.

TheVariogramstabis divided into three main sections:1. Experimentalvariogram computation(the upper section): contains all the parameters describing the search cone used to compute the experimentalvariograms; When calculating experimentalvariograms, a search is performed for all data pairs in the specified direction separated by given distances. A search cone defines the location searched in the 3D space to compute the experimental variogram.2. Variogrammodel fitting(the middle section): contains all the parameters describing the variogram model;3. Graphs(the lower section): Three direction tabs (Vertical, Major and Minor) are available. On each tab, two graphs are displayed:On the right, the search cone graph as well as the location of the sample points;On the left, the variogram graph with both experimental and modelvariogramsplotted.

Using SIS method under faciesModeling with Data analysisTab we have generated faciesModel, other parameters are takenAs default.