... oil recovery method for 11 reservoirs in the Lower Miocene based on J. J. Taber criteria and artificial intelligence. Then, the authors compared the results from this study with those from the commercial software. The result shows that the developed model is sufficiently reliable in choosing...

... (Japan Explosives Safety Association, 1997). asia government metals & mining fractal dimension artificial intelligence evaluation th asian rock mechanic symposium hydraulic fracturing fracture pham quoc tuan hanoi japan government vietnam government isrm sponsored regional...

... prediction models of cutting performance have been proposed. Especially, empirical models using index properties and observed field performance data have been widely used. Lately, big data collected from TBM tunnel sites have been used with the techniques of machine learning and artificial intelligence...

... rop drilling operation machine learning upstream oil & gas neural network th asian rock mechanic symposium asia government artificial intelligence pham quoc tuan hanoi nhu trang neuron prediction penetration vsrm Copyright 2022, International Society for Rock Mechanics and Rock...

... is the distribution of fragment size of blasted rock material. It is used as an index in the mining and quarry industry to estimate the efficiency of bench blasting. europe government pham quoc tuan blasting vietnam government th asian rock mechanic symposium simulation fragmentation artificial...

... of structural plane on the hole wall. Artificial Intelligence wellbore integrity Upstream Oil & Gas isrm international symposium reference plane Wellbore Design information asian rock mechanics symposium 29 Reservoir Characterization drilling operation borehole wall plane development...

... learning Reservoir Characterization Upstream Oil & Gas delineation seismic event seismic response isrm international symposium asian rock mechanics symposium 29 Artificial Intelligence structural campaign Woodward seismic cluster source mechanism seismicity development blast plane...

... stress Artificial Intelligence abaqus software asian rock mechanics symposium 29 laser drilling Reservoir Characterization finite element method thermo-mechanical stress coefficient limestone Study of Thermal and Mechanical Stresses Variations on Rock Caused by Laser Drilling in High...

... Upstream Oil & Gas isrm international symposium november 2018 situ leach mining Situ Recovery Artificial Intelligence structural geology Singapore fracture network fractured rock rock mass permeability fluid flow fracture rock mechanics symposium arms10 29 mining discrete fracture...

... to be revealed. Artificial Intelligence isrm international symposium asian rock mechanics symposium 29 Upstream Oil & Gas microflaw velocity field Reservoir Characterization seismicity parameter specimen seismicity evolution Nazarova tomography metals & mining geomechanical model...

... produced by blast. Numerical simulations (Saiang and Nordlund, 2009; Verma et al., 2018) have also been used to obtain the PPV associated with blast. In addition, the artificial intelligence methods, including artificial neural networks, genetic algorithms, and fuzzy expert systems have been conducted...

... Bayesian Inference simulation method analysis method Engineering Simulation stability Artificial Intelligence risk assessment random field isrm international symposium geotechnical engineering limit analysis reinforcement method coefficient asian rock mechanics symposium 29 layered slope...

... network heterogeneous aperture distribution aperture heterogeneity fluid flow DFN model isrm international symposium asian rock mechanics symposium 29 fracute network Artificial Intelligence complex reservoir aperture uniform aperture anisotropic aperture surface roughness permeability...

... control production logging Fluid Dynamics two-dimensional fracture asian rock mechanics symposium 29 isrm international symposium two-dimensional rock fracture geometry rock fracture flow rate navier-stoke equation fracture Artificial Intelligence Upstream Oil & Gas Simulation nonlinear...

... exponentially as the gangway depth increases. metals & mining influence function method asian rock mechanics symposium 29 susceptibility value Artificial Intelligence only gangway depth subsidence Reservoir Characterization Susceptibility calculation point normalization coefficient sum...

... carefully studied. Reservoir Characterization Upstream Oil & Gas criterion unified strength theory Artificial Intelligence reservoir geomechanics Soil mechanics Fluid Dynamics Singapore stability analysis Symposium rock slope Water Resource Research cellular automata simulation...

... and consequently it influences on the strength parameters. machine learning Upstream Oil & Gas drilling operation igneous rock Artificial Intelligence isrm international symposium rock mass classification hoek-brown strength parameter sedimentary rock Reservoir Characterization RMR asian...

... a chisel tool at 5 mm depth of cut in unrelieved cutting mode. They indicated that there was a good relationship between TC and SE. reservoir geomechanics metals & mining Upstream Oil & Gas machine learning Artificial Intelligence specific energy structural geology isrm international...

... (e.g. Stille 2015), which significantly affects the stability and safety of adjacent infrastructures (Rafi and Stille 2015). drilling fluid chemistry drilling fluid property drilling fluid formulation drilling fluid selection and formulation multiphase flow Artificial Intelligence...

... Artificial Intelligence deviation tunnel face digital image orientation value asian rock mechanics symposium 29 digital image processing machine learning orientation detection line segment characterization smx analyst image processing trace detection Joint Trace Detection in Digital Images...