... comprehensive strength criterion. geologist artificial intelligence geological subdiscipline bayesian inference machine learning geology metals & mining upstream oil & gas reservoir geomechanics strength tensile strength ifd temperature-dependent strength gambino strength criteria...

... require uncertainty characterization of design parameters such as stress and material properties (Bozorgzadeh et al. 2018a, b, Contreras et al. 2018, Einstein 2003, Langford & Diederichs 2013). artificial intelligence upstream oil & gas reservoir geomechanics bayesian inference machine...

... intelligence tunnel neural network node engineering morgenroth machine learning ann accuracy tunnel chainage artificial neural network database bayesian inference probability bbn bayesian belief network dataset prediction ensemble Modelling and computational rock engineering 282_14599.indd...

... frequency Rockfall Hazard minimum temperature rainfall database Réunion Island Bayesian Inference 13th international congress assessment Bourgogne region meteorological factor daily rainfall meteorological event Gunzburger Auvergne region probability rock mechanics isrm13 Innovations...

... different confining pressures covering the range investigated" . reservoir geomechanics Reservoir Characterization Artificial Intelligence machine learning Bayesian Inference criterion rock strength small size strength posterior distribution MPa Montreal rock mechanics isrm13 Upstream...

... that analyzing de-noised petrophysical logs with Bayesian classifier enables identification of breakouts with a significant accuracy. Artificial Intelligence Bayesian classification machine learning Upstream Oil & Gas Bayesian Inference classification information fusion accuracy identification...

... construction. Arisk analysis methodology was developed based on the use of Bayesian Networks (BN) and applied to the existing information of the database and some numerical applications were performed. Artificial Intelligence strength Bayesian Inference displacement metals & mining relation...

... can be updated using in situ tests. More specifically information about E is available by application of the empirical systems and then updated using the results of LFJ tests. machine learning Bayesian Inference posterior distribution lfj test underground work Artificial Intelligence...

... geotechnical risk utility node decision node knowledge algorithm excessive deformation Bayesian Inference decision problem Risk analysis classical probability calculus deformation representation probability 11th Congress of the International Society for Rock Mechanics Ribeiro e Sousa, Olalla...

... Engineering risk assessment Einstein mechanism application exploration risk and uncertainty assessment Upstream Oil & Gas Proc Bayesian Inference prediction Karam rockfall tunnel Rock mechanics experiment landslide observational method information knowledge fracture 11th Congress...