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Keywords: machine learning
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Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-024
... and artificial neural networks analysis and a rock mass classification system, respectively. metals & mining machine learning Upstream Oil & Gas classification system estimation Artificial Intelligence empirical equation situ test reservoir geomechanics rock mass deformation modulus...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-029
... calibration rock mass property seismicity GSI discontinuum model machine learning resolution levkovitch length scale reservoir geomechanics plastic strain correlation deformation pre-mining data rev property case study Rock Characterisation, Modelling and Engineering Design Methods Feng...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-051
... formula. Ladanyi got shearing strength formula that could take the influence of rocky bridge into account in 1970. strength theory cohesion slope rock mass Artificial Intelligence formula integrity knowledge management Engineering coefficient machine learning strength internal friction...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-031
... developed rapidly. They have achieved important progresses in parameter optimization, fuzzy simulation and problem-solving of acceptableness observation data, etc (Kennedy et al., 2010). Upstream Oil & Gas identification rock type machine learning swarm optimization hybrid algorithm...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-047
... calculation results is slightly larger. Artificial Intelligence machine learning Wellbore Design Reservoir Characterization Upstream Oil & Gas friction cohesion algorithm hoek-brown criterion fitting algorithm fitting algorithm normal stress application shear strength Rock mechanics...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-023
... result in serious safety issues for builders and require more understanding about rock performance during excavations. Meanwhile, uncertainty of mechanical rock parameters is the "bottleneck" in the evaluation and prediction of caverns' stability and mechanical behavior of [9,10] . machine...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-006
... Characterization Artificial Intelligence aleatory uncertainty Upstream Oil & Gas machine learning Wellbore Design knowledge flowchart construction information memory system London tunnel Rock mechanics epistemic uncertainty application Case Example Hudson rock engineering international...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-011
... Discharge plane conductivity Upstream Oil & Gas fracture plane test result hydraulic fracturing fractural plane characteristic hydrogeological test machine learning transmissivity rock mass in-situ hydrogeological test injection section attitude hydraulic conductivity investigation DP...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-120
... Engineer Reservoir Characterization displacement information machine learning orientation observational approach design stage excavation guideline requirement riedmüller ground behaviour investigation interpretation tunnel discontinuity geotechnical design construction Rock...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-125
... mass can be seen in Table 1. Geomechanical properties of rock masses are shown in Table 2. machine learning Upstream Oil & Gas Artificial Intelligence underground structure natural language classification RMR classification system classification method support system JH method...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-117
... epicenter coordinates with wave velocity as unknown, which effectively avoids the influence of inaccurate velocity. The studies above is all belong to mine micro-seismic monitoring field, however, little research is known on source location during linear tunnel excavation process. machine learning...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-077
.... machine learning neural network metals & mining Engineering Artificial Intelligence neural network model severity Reservoir Characterization Upstream Oil & Gas selection northeastern university estimation intensity diversion tunnel neural network estimation rockburst information...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-147
... new design concepts are systematically programmed for rock slopes, underground openings and underground mines. A more definite explanation was publish in 2000 (Feng, 2000) after extensive validation of the research scheme. Artificial Intelligence Feng design concept machine learning...
Proceedings Papers

Paper presented at the ISRM SINOROCK 2013, June 18–20, 2013
Paper Number: ISRM-SINOROCK-2013-158
... with a sleek surface, the collocation of blasting positions and dynamite volume. factor analysis parameter optimization coefficient tunnel 4 machine learning resistance factor-regression model historical data Artificial Intelligence deviation regression analysis follow equation variance...
Proceedings Papers

Paper presented at the ISRM International Symposium on Rock Mechanics - SINOROCK 2009, May 19–22, 2009
Paper Number: ISRM-SINOROCK-2009-135
... metals & mining displacement Earthquake machine learning ground transportation optimum design rail transportation design plan production cost slope rock mass MPa Artificial Intelligence stability analysis analysis result rock mass mechanical parameter safety limit...
Proceedings Papers

Paper presented at the ISRM International Symposium on Rock Mechanics - SINOROCK 2009, May 19–22, 2009
Paper Number: ISRM-SINOROCK-2009-198
... Procedures for Rock Classification natural language Upstream Oil & Gas systematic classification system text classification classification Tuen Mun Tin Shui Wai area machine learning Artificial Intelligence tuff breccia engineering office geotechnical engineering office rock type...
Proceedings Papers

Paper presented at the ISRM International Symposium on Rock Mechanics - SINOROCK 2009, May 19–22, 2009
Paper Number: ISRM-SINOROCK-2009-067
... wellbore integrity fracture toughness lab testing discontinuity Bakken formation Reservoir Characterization Wellbore Design correlation geomechanical study well log reservoir geomechanics Upstream Oil & Gas North Dakota Williston Basin core sample machine learning Artificial...
Proceedings Papers

Paper presented at the ISRM International Symposium on Rock Mechanics - SINOROCK 2009, May 19–22, 2009
Paper Number: ISRM-SINOROCK-2009-052
... Artificial Intelligence failure criteria Reservoir Characterization machine learning anisotropy index failure criterion reservoir geomechanics strength Porce III Upstream Oil & Gas criterion gneiss envelope rock material MPa powerhouse chamber mohr-coulomb criterion...
Proceedings Papers

Paper presented at the ISRM International Symposium on Rock Mechanics - SINOROCK 2009, May 19–22, 2009
Paper Number: ISRM-SINOROCK-2009-082
... metals & mining classification th iacmag Artificial Intelligence Engineering training data machine learning Upstream Oil & Gas information prediction coefficient artificial neural network output layer discontinuity application neural network Simulation optimization...

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