Abstract

A slope stability analyses utilizing LiDAR, photogrammetry, and Discrete Fracture Network (DFN) modelling has been conducted in a former chalk quarry in Kent, United Kingdom. Chalk cliffs excavated decades ago are a remnant of the quarrying process, and gradual rehabilitation and development of the quarry has seen the residential and mixed-use construction expand toward the cliff-lined boundary, necessitating an assessment of their stability. 3D photogrammetry and laser scanning using a drone allowed for the generation of a point cloud and accompanying colorized 3D mesh, which was used assess the rockmass and derive discontinuity orientations. Subsequent stereonet and kinematic analyses were conducted using Rocscience DIPS. The 3D mesh was used to derive fracture data to develop the DFN using Golder’s FracMan. This project has provided the opportunity to develop and directly apply a workflow utilizing state-of-the-art remote sensing techniques to DFN modelling for assessing rockmass and rockfall conditions in an active site for the rehabilitation of former quarry works.

Keywords:
hydraulic fracturing, reservoir characterization, united kingdom government, europe government, orientation, upstream oil & gas, algorithm, discontinuity, bedding, simulation
Subjects:
Hydraulic Fracturing, Reservoir Characterization, Information Management and Systems
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Copyright 2022, Discrete Fracture Network Engineering, American Rock Mechanics Association
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