[1] Dverstorp B, Andersson J (1989) Application of the discrete fracture network concept with field data: Possibilities of model calibration and validation. Water Resour Res 25:540–550. https://doi.org/10.1029/WR025I003P00540
[2] Cacas MC, Ledoux E, de Marsily G, et al (1990) Modeling fracture flow with a stochastic discrete fracture network: Calibration and validation: 2. The transport model. Water Resour Res 26:491–500. https://doi.org/10.1029/wr026i003p00491
[3] Lorig LJ, Darcel C, Damjanac B, et al (2015) Application of discrete fracture networks in mining and civil geomechanics. Min Technol 124:239–254
[4] Huang N, Liu R, Jiang Y, Cheng Y (2021) Development and application of three-dimensional discrete fracture network modeling approach for fluid flow in fractured rock masses. J Nat Gas Sci Eng 91:103957. https://doi.org/https://doi.org/10.1016/j.jngse.2021.103957
[5] Karimi-Fard M, Durlofsky LJ, Aziz K (2004) An efficient discrete-fracture model applicable for general-purpose reservoir simulators. SPE J 9:227–236
[6] Ren F, Ma G, Fan L, et al (2017) Equivalent discrete fracture networks for modelling fluid flow in highly fractured rock mass. Eng Geol 229:21–30
[7] Akara MEM, Reeves DM, Parashar R (2020) Enhancing fracture-network characterization and discrete-fracture-network simulation with high-resolution surveys using unmanned aerial vehicles. Hydrogeol J 28:
[8] Medinac F, Bamford T, Esmaieli K, Schoellig A (2018) Pre-and post-blast rock block size analysis using uav-lidar based data and discrete fracture network. In: ARMA International Discrete Fracture Network Engineering Conference. ARMA, p D023S008R002
[9] Mammoliti E, Pepi A, Fronzi D, et al (2023) 3D discrete fracture network modelling from UAV imagery coupled with tracer tests to assess fracture conductivity in an unstable rock slope: implications for Rockfall phenomena. Remote Sens 15:1222
[10] Cacciari PP, Futai MM (2017) Modeling a Shallow Rock Tunnel Using Terrestrial Laser Scanning and Discrete Fracture Networks. Rock Mech Rock Eng 50:1217–1242. https://doi.org/10.1007/s00603-017-1166-6
[11] Williams-Stroud SC, Eisner L (2010) Stimulated fractured reservoir DFN models calibrated with microseismic source mechanisms. In: ARMA US Rock Mechanics/Geomechanics Symposium. ARMA, p ARMA-10
[12] Zhou Z, Su Y, Wang W, Yan Y (2016) Integration of microseismic and well production data for fracture network calibration with an L-system and rate transient analysis. J Unconv Oil Gas Resour 15:113–121. https://doi.org/https://doi.org/10.1016/j.juogr.2016.07.001
[13] Lepillier B, Bruna P-O, Bruhn D, et al (2020) From outcrop scanlines to discrete fracture networks, an integrative workflow. J Struct Geol 133:103992. https://doi.org/https://doi.org/10.1016/j.jsg.2020.103992
[14] Sewnun D, Wesseloo J, Heinsen Egan M (2022) A review of structural data collection methodologies for discrete fracture network generation. In: Caving 2022: Proceedings of the Fifth International Conference on Block and Sublevel Caving, Australian Centre for Geomechanics, Perth. pp 1047–1060
[15] Becker I, Koehrer B, Waldvogel M, et al (2018) Comparing fracture statistics from outcrop and reservoir data using conventional manual and t-LiDAR derived scanlines in Ca2 carbonates from the Southern Permian Basin, Germany. Mar Pet Geol 95:228–245
[16] ISRM (1978) Suggested Methods for the Quantitative Description of Discontinuities in Rock Masses. Rock Characterisation Test. Monit.
[17] Terzaghi RD (1965) Sources of error in joint surveys. Geotechnique 15:287–304
[18] Myers RH, Montgomery DC, Anderson-Cook CM (2016) Response surface methodology: process and product optimization using designed experiments. John Wiley & Sons
[19] Berkowitz B (2002) Characterizing flow and transport in fractured geological media: A review. Adv Water Resour 25:861–884. https://doi.org/http://dx.doi.org/10.1016/S0309-1708(02)00042-8
[20] Bonnet E, Bour O, Odling NE, et al (2001) Scaling of fracture systems in geological media. Rev Geophys 39:347–383
[21] Montgomery DC (2017) Design and analysis of experiments. Wiley