Data-driven workflow to obtain dynamic fluid-flow model and structural data from acquired drone images. Data-driven workflow to obtain dynamic fluid-flow.

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Presentation transcript:

Data-driven workflow to obtain dynamic fluid-flow model and structural data from acquired drone images. Data-driven workflow to obtain dynamic fluid-flow model and structural data from acquired drone images. (a) (Step 1.1) Drone imagery, photogrammetry and (Step 1.2) GIS-based fracture interpretation (the example shown has a 1:1000 scale interpretation). (b) (Step 2.1) Simplification and meshing of the interpreted fracture network, (Step 2.2) local stress modelling and (Step 2.3) fracture-aperture modelling using the simplified mesh. Node duplication and model boundary conditions workflow are after Bisdom et al. (2017a). (c) (Step 3.1) Fluid-flow modelling and (Step 3.2) effective permeability calculations using AD-GPRS (Karimi-Fard & Firoozabadi 2001; Karimi-Fard et al. 2004; Voskov et al. 2009). Quinten Boersma et al. Petroleum Geoscience 2019;petgeo2018-151 © 2019 The Author(s). Published by The Geological Society of London for GSL and EAGE. All rights reserved