Fractal Characterization of Complex Hydraulic Fractures in Oil Shale via Topology

The formation of complex fracture networks through the fracturing technology is a crucial operation used to improve the production capacity of tight gas/oil. In this study, physical simulation experiments of hydraulic fracturing were conducted with a true triaxial test system on cubic shale oil samples from the Yanchang Formation, China. The fractures were scanned by CT both before and after the experiments and then reconstructed in 3D. The complexity of fracture networks was investigated quantitatively by the fractal theory with topology. Finally, the effect of the horizontal stress ratio, fluid viscosity, and natural fractures on the complexity of the fracture networks was discussed. The results indicate that the method based on fractal theory and topology can effectively characterize the complexity of the fracture network. The change rates of the fractal dimension (K) are 0.45-3.64%, and the fractal dimensions (D-NH) of the 3D fracture network after fracturing are 1.9522-2.1837, the number of connections per branch after fracturing (C-B) are 1.57-2.0. The change rate of the fractal dimension and the horizontal stress ratio are negatively correlated. However, the change rate of the fractal dimension first increases and then decreases under increasing fluid viscosities, and a transition occurs at a fluid viscosity of 5.0 mPa center dot s. Whether under different horizontal stress ratios or fluid viscosities, the complexity of the fracture networks after fracturing can be divided into four levels according to D-NH and C-B. Complex fracture networks are more easily formed under a lower horizontal stress ratio and a relatively low fluid viscosity. A fracturing fluid viscosity that is too low or too high limits the formation of a fracture network.

Automated summary

The study conducted physical simulation experiments of hydraulic fracturing on cubic shale oil samples from the Yanchang Formation, China, and investigated the complexity of fracture networks using fractal theory and topology. The results show that the complexity of fracture networks after fracturing can be divided into four levels based on different horizontal stress ratios or fluid viscosities according to fractal dimensions and number of connections per branch.