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SUMMARY:Fracture Network Connectivity and Its Evolution - Weiwei Zhu\, Ins
 titute of Geology and Geophysics\, Chinese Academy of Sciences
DTSTART:20251002T103000Z
DTEND:20251002T113000Z
UID:TALK236674@talks.cam.ac.uk
CONTACT:Catherine Pearson
DESCRIPTION:Fractures are ubiquitous in crustal rocks due to the harsh env
 ironment of the deep subsurface and the inherent brittleness of the rock. 
 These fractures\, which represent planes of rock failure\, significantly i
 nfluence rock stability and are pivotal in predicting geohazards. Addition
 ally\, fractures typically provide highly permeable pathways for fluid flo
 w in the subsurface\, making them crucial for oil and gas exploration and 
 production\, subsurface hydrogen storage\, geological CO₂ sequestration\
 , and nuclear waste disposal.\n\nConnectivity is a key characteristic of f
 racture networks\, intricately linked to their mechanical and hydrological
  properties. In this seminar\, an automated fracture interpretation techni
 que is introduced\, enabling the acquisition of large amounts of natural f
 racture data. Subsequently\, an efficient discrete fracture network modeli
 ng software is presented\, allowing the generation of complex fracture net
 works and the realization of advanced functionalities. Novel fracture metr
 ics for single and multiple fracture clusters are also introduced\, provid
 ing a means to quantify the connectivity of complex fracture networks and 
 investigate potential influential factors. A DEM-LBM method is adopted to 
 simulate the hydraulic fracturing process\, demonstrating the dynamic evol
 ution of fracture networks under significant stress disturbances. During t
 his process\, the dynamic evolution of connectivity can be characterized u
 sing the proposed novel metrics.
LOCATION:Open Plan Area\, Institute for Energy and Environmental Flows\, M
 adingley Rise CB3 0EZ
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