2012/08/09 by Ian Main, Andrew Bell, P. G. Meredith +2 · 1 citation
Engineering · Earth and Planetary Sciences · Mathematics · #Hydraulic Fracturing and Reservoir Analysis #Rock Mechanics and Modeling #Seismic Imaging and Inversion Techniques #Dilatant #Predictability #Geology #Scale (ratio) #Geotechnical engineering #Scaling #Scale invariance #Geomechanics #Geophysics #Seismology #Mathematics #Physics
paper · doi:10.1144/sp367.15
openalex publication_date 2012/08/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
Abstract The dilatancy–diffusion hypothesis was one of the first attempts to predict the form of potential geophysical signals that may precede earthquakes, and hence provide a possible physical basis for earthquake prediction. The basic hypothesis has stood up well in the laboratory, where catastrophic failure of intact rocks has been observed to be associated with geophysical signals associated both with dilatancy and pore pressure changes. In contrast, the precursors invoked to determine the predicted earthquake time and event magnitude have not stood up to independent scrutiny. There are several reasons for the lack of simple scaling between the laboratory and the field scales, but key differences are those of scale in time and space and in material boundary conditions, coupled with the sheer complexity and non-linearity of the processes involved. ‘Upscaling’ is recognized as a difficult task in multi-scale complex systems generally and in oil and gas reservoir engineering specifically. It may however provide a clue as to why simple local laws for dilatancy and diffusion do not scale simply to bulk properties at a greater scale, even when the fracture system that controls the mechanical and hydraulic properties of the reservoir rock is itself scale-invariant.