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1-17 of 17
Keywords: machine learning
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Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, May 10–12, 2016
Paper Number: ISRM-ISRS-2016-010
... mine. reservoir geomechanics stress calibration Raasakka Reservoir Characterization Upstream Oil & Gas ln-51tu rock stress geometry haulage level metals & mining ground surface solver method coefficient machine learning in-situ rock stress stress measurement international...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, May 10–12, 2016
Paper Number: ISRM-ISRS-2016-016
... Characterization Rock mechanics stress tensor machine learning Upstream Oil & Gas tensor stress data independent component stress dispersion effective variance generalised variance dispersion Artificial Intelligence variability Euclidean dispersion Symposium total variation statistics...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, May 10–12, 2016
Paper Number: ISRM-ISRS-2016-051
... machine learning metals & mining seismic hazard Reservoir Characterization Upstream Oil & Gas Artificial Intelligence Finland Johansson cluster group rockburst damage potential seismicity risk assessment zone international symposium reservoir geomechanics hudyma evaluation...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, May 10–12, 2016
Paper Number: ISRM-ISRS-2016-032
... estimation mechanical parameter machine learning Artificial Intelligence equilibrium observable data parameter in-situ rock stress finite element analysis Upstream Oil & Gas Finland Johansson model space damage zone 7th International Symposium on In-Situ Rock Stress May 10-12, 2016, Tampere...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, May 10–12, 2016
Paper Number: ISRM-ISRS-2016-055
... method to monitor stress state change caused by mining activities. The method is based regression between linearly elastic modelling and displacement measurements. The regression in the method is formed with least squares method. machine learning Artificial Intelligence Raasakka Reservoir...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, August 25–27, 2010
Paper Number: ISRM-ISRS-2010-073
... & Gas objective function Fluid Dynamics calculation optimization problem tectonic stress field machine learning flow in porous media boundary load Optimization Method strain energy density inversion calculation equation constraint field inverse analysis technology study MPa stress field...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, August 25–27, 2010
Paper Number: ISRM-ISRS-2010-121
... the crustal deformation (Lixia Gong, 2005). However, the traditional DInSAR technique has its limitations on detecting the long term crustal deformation, such as temporal and spatial de-correlation and atmospheric effects. Artificial Intelligence master image machine learning interferogram Upstream...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, August 25–27, 2010
Paper Number: ISRM-ISRS-2010-088
... modeling Artificial Intelligence back regression analysis regression analysis regression coefficient geological modeling Engineering calculation model excavation storage power station geostress field principal stress isoline machine learning calculation regression analysis method finite...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, August 25–27, 2010
Paper Number: ISRM-ISRS-2010-109
... Artificial Intelligence reservoir geomechanics regression regression equation regression analysis initial geostress field contribution Engineering undetermined factor Significance machine learning structural geology tectonic action regression analyse application measurement data rock gravity...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, August 25–27, 2010
Paper Number: ISRM-ISRS-2010-104
... to some extent due to the in-situ stress and the measurement errors (Ljunggren 2003). reservoir geomechanics calculation Reservoir Characterization regional in-situ stress field hydropower station Artificial Intelligence excavation disturbance effect vector machine learning Engineering...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, August 25–27, 2010
Paper Number: ISRM-ISRS-2010-110
...), swelling is caused by one or a combination of three mechanisms: mechanical, osmotic and intracrystalline (Einstein, 1996). Such time dependent behavior of rock masses causes considerable damage to the structures constructed in them. machine learning Upstream Oil & Gas artificial neural network...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, August 25–27, 2010
Paper Number: ISRM-ISRS-2010-045
..., it is an extension of the VB toolbox as well as some executable codes written according to the ActiveX criterion, such as a document of.EXE,.DLL or.OCX. Artificial Intelligence neural network model initial in-situ stress field stress field Engineering network model machine learning in-situ stress...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, August 25–27, 2010
Paper Number: ISRM-ISRS-2010-041
... eberhart Particle Swarm Optimization optimization particle swarm algorithm convergence rate equation machine learning Upstream Oil & Gas back analysis solution space PSO algorithm Rock Stress and Earthquakes Xie (ed.) © 2010 Taylor & Francis Group, London, ISBN 978-0-415-60165-8...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, August 25–27, 2010
Paper Number: ISRM-ISRS-2010-134
... be measured at the heavy groundwater pumping stations. subsidence velocity subsidence center ASAR Fluid Dynamics suzhou-wuxi area ps insar technique Artificial Intelligence groundwater subsidence jiangsu province ground subsidence annual subsidence velocity map machine learning ps insar...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, August 25–27, 2010
Paper Number: ISRM-ISRS-2010-112
... orientation maximal coefficient maximal horizontal stress reservoir geomechanics stress relief measurement depth range stress orientation machine learning stress variation in-situ stress measurement tectonic stress minimal horizontal stress equation Upstream Oil & Gas regression equation...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, August 25–27, 2010
Paper Number: ISRM-ISRS-2010-072
... for the current domestic to guide coal seam fracture zones forecast, internal factors and external factors of coal fracture is not comprehensive enough, and the safety requirements cannot be met for coal seam drilling. Artificial Intelligence coal seam gas machine learning coal bed methane text...
Proceedings Papers
Paper presented at the ISRM International Symposium on In-Situ Rock Stress, August 25–27, 2010
Paper Number: ISRM-ISRS-2010-038
... machine learning Upstream Oil & Gas shape valley Rock stress principle stress stress field stress increase maximum principle stress tunnel constitutive model stratum bank slope Rock Stress and Earthquakes Xie (ed.) © 2010 Taylor & Francis Group, London, ISBN 978-0-415-60165-8...