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Selecting an ideal well or low permeable zone for fracturing has for long been a million dollar question. Limited understanding
and sparse subsurface data many times dragged the focus of operators worldwide. To overcome the data gaps and to ease the
decision making, the authors have undertaken a study to quickly predict the properties of cores. The objective was to predict the
internal microfracture using conventional, simple geometrical technique and fracture mechanics. Several experiments were
conducted on the core plugs of a low permeability sandstone and shale formation. The fracture was created using the universal
testing machine with the help of core sleeve and then tested for prediction. Around 30 sidewall core samples of a sandstone
formation was used for testing, density 2.65-2.67 gm/cc, having different permeability and porosity. The microscopic study was
conducted to analyze grain geometry of the core sample. The ultimate aim is to compare and predict the grain geometry and
internal fracture; The patterns and observations are then statistically classified. Subsequent experiments for predicting fracture
connectivity had been undertaken using dye and imprinting it on a paper by rolling. Such paper imprints were analyzed to
predict fracture connectivity (though tortuous). These experiments are a new concept in the petroleum industry and these
experiments had substantially helped in predicting fracture orientation. Further refinements are definitely needed. However
authorâ??s views are discussed in this paper. The results of the research showed that this techniques may be used to predict the
internal fracture in a sandstone and shale core sample. It has also been inferred with higher certainty that the grain geometry
can be classified and it has directly affected the fracture pattern. This technique will help to understand the direction of
minimum horizontal stress which is the most important factor in designing the fracturing job. Since this methodology was
applied to low permeability sandstone and shale formation there is further scope to validate it on a wider range of other rock
types. This method may reduce uncertainty by great extent and may support a paradigm shift in exploiting low permeable
formations.