Extracting Physical Properties from Thin Section : Another Neural Network Contribution in Rock Physics

Thin section observation is generally carried out to study the petrographic properties of a rock e.g; pores or grain shapes, sizes, distribution, pore connectivity, or eventually 2D optical porosity of the rock. In this paper wider use of thin section analysis is explored to tell more about the physical properties of rock. This work is purely computer-aided theoretical modeling, in which from thin section image, the effective values of elastic,...