.... artificial intelligence classifier prediction classification input parameter stability bayes classifier support vector machine decision tree classifier machine learning stability condition overburden dump slope stability condition dataset multiclass classification confusion matrix accuracy...

... on the physico-mechanical properties. reservoir geomechanics artificial intelligence machine learning fuzzy logic strength rock mechanics abrasivity upstream oil & gas efficiency artificial neural network structural geology adaptive neuro-fuzzy inference system prediction reservoir...

... geotechnical parameter shear strength parameter fluctuation slope stability analysis bayesian inference simulation slip surface artificial intelligence slip surface length safety factor finite element method failure mechanism probability friction angle parameter random finite element method...

... Dynamics abidin subsidence SAR data gp result final subsidence Artificial Intelligence Semarang sba result hyperbolic method ieee trans geosci Interferometry SAR Interferometry procedure jaxa equation Abstract Land subsidence is a critical issue to be addressed for large cities...

... Artificial Intelligence strength calculation wattimena design curve mass property Dealing with Uncertainties in Rock Mechanics Ridho K. Wattimena a * a Institut Teknologi Bandung, Indonesia *[email protected] Abstract Properties of rock mass vary and an exact value of one of the properties at any...

... problem Efficiency mining equipment arrangement technology convergence construction Artificial Intelligence Upstream Oil & Gas Institute Design Optimization industrial technology optimization design study button arrangement rock surface drilling efficiency Optimization Design Studies...

... application blast result Artificial Intelligence Support Vector Machine mohammadnejad SVM site dependent vibration fragmentation international journal svm method mean particle size ground vibration A Review on Methods of Prediction Blasting Models on Rock Fragmentation in Quarry Blasting M. I...

... rocks, while color values and calcium composition are effective for granitic rocks, to classify good and waste materials. Artificial Intelligence quick classification method good material machine learning reserves classification portable quantitative analyzer text classification reserves...

... employs microwave wavelengths, it is independent of weather conditions and can collect data both day and night. Artificial Intelligence Limestone quarry vertical interval neural network up-to-date dem co-registration process metals & mining resolution DEM contour line spatial...

... machine deformation models. And it indicates that the deformation prediction accuracy can be improved by analyzing the Hurst exponent of the tunnel deformation sequence. Furthermore, the accuracy of the improved deformation prediction model can satisfy the need of actual projects. Artificial...

... classification Chinese Journal energy method rock mass classification real time system Engineering strata condition rcse wang shichun Artificial Intelligence geological condition tunnel rock mechannic TBM Proportion rock mass total energy 2017. Korean Society for Rock Mechanics. Permission...

... prediction especially in subsequent drilling sections within the same well. real time system Artificial Intelligence machine learning drilling operation geothermal reservoir Upstream Oil & Gas training stage input parameter neural network Engineering Rock mechanics field data ROP...

.... metals & mining machine learning hydraulic fracturing Artificial Intelligence non-explosive demolition agent Laboratory Investigation Reservoir Characterization Upstream Oil & Gas Laboratory Investigation to Determine Hole Spacing into Rock Fracturing Using Non Explosive Demolition...

... fracture signal Artificial Intelligence classification feature vector microseismic signal noise mining microseismic signal signal recognition TransitDevelopmentInRockMe hanics Cai,Yang Wang(Eds) 2015aylor FrancisG up L ndo ISBN978·7-138-02730 5ApplicationofHidderkovM d lf min gmi...

... modeling equation of state rock model test machine learning Fiber Bragg wavelength shift curve Reservoir Characterization wavelength shift regression curve ethylene plastic sensor sensor coefficient acetate ethylene plastic sensor Artificial Intelligence model test experiment FBG sensor...

.... 2009. Slope safety factor by methods of particle flow code strength reduction and gravity increase. Rock and Soil Mechanics (6): 1549-1554. machine learning neural network Simulation Artificial Intelligence Upstream Oil & Gas construction materials strength network model residual...

... and Development 24(5):73-76. metals & mining axis vibration velocity Artificial Intelligence formula junction Reservoir Characterization explosion particle machine learning Upstream Oil & Gas underground chamber numerical simulation state equation peak vibration velocity different time...

.... Artificial Intelligence linear deformation brittle rock sample failure structural geology LABORATORY study Upstream Oil & Gas negative increment Reservoir Characterization deformation curve mechanism preparation rock sample acoustic emission intensity deformation experiment precursor...

... safe thickness metals & mining complex goaf system Simulation boundary mechanical parameter goaf roof tunnel Artificial Intelligence displacement Rock mechanics goaf system mechanics deformation goaf University ABSTRACT: Complex goaf system at Shouyun Mine is assembled by two...

... & Gas mechanism fractured rock fracture surface hydraulic fracturing creep constitutive model experiment shear rheological property fractal dimension Reservoir Characterization displacement tensile fractured rock creep test rock sample Artificial Intelligence waviness roughness Fracture...