1. A method for predicting hydrocarbon recovery in a subterranean formation comprising: generating pre-heating data associated with fracturing in a sample from the subterranean formation; determining at least one first fractal pattern based upon the pre-heating data; heating the sample with radio frequency (RF) power to cause additional fracturing in the sample; generating post-heating data associated with additional fracturing in the sample after heating with RF power; determining at least one second fractal pattern based upon the post-heating data; performing mutual information calculations and joint entropy calculations between the at least one first fractal pattern and the at least one second fractal pattern for detecting change between the at least one first fractal pattern and the at least one second fractal pattern, the mutual information calculations being associated with similarity between the at least one first fractal pattern and the at least one second fractal pattern, the joint entropy calculations being associated with dissimilarity between the at least one first fractal pattern and the at least one second fractal pattern, the mutual information calculations and joint entropy calculations comprising generating a plurality of histograms, each histogram comprising a plurality of bins for fracture volumetric size and fracture vertical length; and predicting hydrocarbon recovery from the subterranean formation based upon the detected change.