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Keywords: Artificial Intelligence
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Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-103
... et al., 2017). Hence, rock mass damage is caused by the initiation, accumulation and growth of stress-induced cracks or existing fractures in rock mass (Cai et al., 2001). hydraulic fracturing reservoir characterization upstream oil & gas artificial intelligence neural network metals...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-135
... that the microwave treatment could considerably promote the fragmentation degree(Batchelor et al. 2017). specimen reservoir characterization upstream oil & gas reservoir geomechanics strength fg specimen hydraulic fracturing metals & mining fangshan granite artificial intelligence microwave...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-261
... with the commercial use of the Unmanned Aerial Vehicles (UAV) (Balaguer Puig 2017; Bemis et al. 2014; Carrivick et al. 2013; Haneberg 2008; Lucieer et al. 2011; Rossi et al. 2016; Vasuki et al. 2014). artificial intelligence acquisition journal geoscience cloud orientation compass structural geology...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-291
... calculations and analyses, the engineer is enabled to focus their expert judgment on the outputs of the tools and the subsequent steps that may be needed in terms of ground control, stabilization techniques, additional numerical analysis, or other geomechanical decisions that need to be made. artificial...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-292
.... human computer interaction machine learning rnn algorithm artificial intelligence investigation rqd procedure equation derivative neural network information exploration operation variation estado unido mexicanos sensation figure 1 sequence geotechnical safety sediment spatial...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-293
... and 12km are already excavated (January 2019). deep learning classification exploratory tunnel tunnelling neural network ann mlp datapoint categorical classification artificial intelligence neuron information accuracy comparison machine learning dataset indication rock mechanic...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-157
... events. Thus, we propose a method to constrain the range of focal mechanism by introducing in-situ stress information which is measured independently from the seismological method. We stay on the use of first motion data. hydraulic fracturing upstream oil & gas artificial intelligence...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-169
... is a common problem in geophysical ground exploration. This aspect is currently being assessed trough the combination of various of its methods. Refraction phenomenon, occurred during seismic wave propagation, is specially a useful geophysics method used for civil engineering projects. artificial...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-173
...) and Arzuman (2009), applying neural network (NN) in the estimation of properties for characterization of rocks, lithological classification and other related themes. upstream oil & gas artificial intelligence validation neural network machine learning carnallite 1 halite 1 mechanofacies...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-176
... of dollars (Roncella et al., 2014). operational safety frequency instability metals & mining highwall remote sensing artificial intelligence hazard assessment rockfall monitoring forlani acquisition installation cloud epoch application roncella calibration procedure photogrammetry...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-198
... mechanical aspects. reservoir characterization indicator recognition health & medicine diagnostic medicine hazard artificial intelligence acoustic emission combination university salzburg rock mechanic sensor image analysis exemplary probe machine learning strength graz university...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-003
.... fracture artificial intelligence united states government north america government complex reservoir reservoir geomechanics amplitude pyrak-nolte rock mechanic coalescence orientation journal upstream oil & gas hydraulic fracturing reservoir characterization pyraknolte propagation...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-004
... are presented such as in particular: Robotic Total Station (RTS), Interferometric Synthetic Aperture Radar (InSAR), and 3D Laser Scanning (TLS). tunnel wellbore seismic reservoir surveillance production control upstream oil & gas artificial intelligence excavation knowledge management lining...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-005
... mechanic objective slope stability artificial intelligence read australia mapping strength Rock Mechanics for Natural Resources and Infrastructure Development Fontoura, Rocca & Pavón Mendoza (Eds) © 2020 ISRM, ISBN 978-0-367-42284-4 The geotechnical engineer in metalliferous open pit mines John...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-009
... geomechanics journal upstream oil & gas interaction reservoir simulation artificial intelligence rock mechanic connectivity fluid dynamics wellbore design flow in porous media permeability lei excavation shear displacement london propagation threshold evolution geometry orientation...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-018
... is suitable for the risk assessment of foundation pit construction because of its fuzziness and quantification. Many researchers have carried out a lot of research on fuzzy comprehensive evaluation. risk management evaluation matrix artificial intelligence china vector underground engineering...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-021
... infrastructures. From mere road nuisances, landslides became an enormous threat to the operations as some had already cut-off pipelines and even obliterated a geothermal well pad thus exacting heavy toll and revenue losses to the company administrator. artificial intelligence landslide azufre reservoir...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-027
... cumulative settlement sutong gil artificial intelligence tunnel construction investigation figure 5 formula disturbance lateral settlement equation Rock Mechanics for Natural Resources and Infrastructure Development Fontoura, Rocca & Pavón Mendoza (Eds) © 2020 ISRM, ISBN 978-0-367-42284-4...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-032
... computation and the Metropolis algorithm. north america government history matching artificial intelligence implementation posterior stdev reservoir simulation machine learning strength mcmc algorithm likelihood statistics application nclass 30 algorithm metropolis algorithm deviation...
Proceedings Papers

Paper presented at the 14th ISRM Congress, September 13–18, 2019
Paper Number: ISRM-14CONGRESS-2019-036
... or association among the entities. The second step is the actual clustering process, whereby entities are partitioned into the groups (clusters). The final step is to profile the individuals to determine their composition (Hair et al. , 2010). dataset susceptibility matrix loading artificial...

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