... & Gas machine learning Wellbore Design reservoir geomechanics Feng Rock mechanics application Case Example design methodology commission epistemic uncertainty Hudson rock engineering international society Artificial Intelligence information memory system London tunnel aleatory...

... plane characteristic Upstream Oil & Gas fracture plane test result in-situ hydrogeological test injection section transmissivity rock mass Artificial Intelligence Discharge plane conductivity hydrogeological test machine learning attitude preferential attitude fractured rock mass...

... equation of state Artificial Intelligence Reservoir Characterization neural network aperture mechanism solute transport fracture characterization concentration single fracture fluid flow displacement normal stress shear displacement hydraulic fracturing Upstream Oil & Gas matrix...

... measuring methods and techniques for the same rock sample, measuring with precise equipments and quantifying with an appropriate method for the determination of shearing strength and hydraulic properties are essential. Artificial Intelligence strength geomechanics abstract Mining Science...

... engineering intern stability Aydan rock slope geological modeling Symp bimrock Artificial Intelligence strength assessment discontinuity rock mass Rock Characterisation, Modelling and Engineering Design Methods Feng, Hudson & Tan (Eds) © 2013 Taylor & Francis Group, London, ISBN 978-1-138...

... their slopes is, largely dependent on the strength of the rock mass besides other factors that are known to govern the occurrences of landslides. Reservoir Characterization Upstream Oil & Gas strength Artificial Intelligence Landslide Susceptibility reservoir geomechanics classification...

.... Artificial Intelligence coal material coal block disintegration process numerical identification Reservoir Characterization Brazilian test SPH Method failure surface compression roller mill coal specimen specimen particle hydrodynamic disintegration mode particle roll compression coal prism...

... discontinuity Schubert Artificial Intelligence ground type Engineer investigation geotechnical design construction requirement riedmüller interpretation Reservoir Characterization displacement information design stage excavation guideline ground behaviour tunnel Rock Characterisation...

... Abstract It has been 20 years since the research scheme of intelligence of rock mechanics was proposed in 1993, based on the encouraging achievements on investigation of artificial intelligence and expert system and its application to rock mechanics and engineering problems started from 1986...

.... Considering these factors, a way to follow is the application of risk assessment in the design. risk and uncertainty assessment lining load evaluation ccm Artificial Intelligence Upstream Oil & Gas evaluation excavation face structural parameter Reservoir Characterization risk assessment...

...-softening model Engineering correlation random variable Artificial Intelligence criterion coefficient plastic zone Reservoir Characterization strength international journal excavation performance function reliability analysis rock mass circular tunnel reliability index probability Rock...

... as conversion purposes in the context of the "Energiewende". Reservoir Characterization social responsibility methane sustainable development complex reservoir energiewende co 2 clean energy system Artificial Intelligence sustainability geothermal energy assessment climate change shale gas...

.... Differences between simulated results and analytical solutions based on Reynolds equations (Cubic law) are compared in this paper and the limitations of Cubic Law and Reynolds equation for flow in fracture network models are discussed. Artificial Intelligence complex reservoir aperture hydraulic...

... Downstream Oil & Gas support parameter stability excavation construction natural gas storage cavern main cave rock quality bolt length MPa storage lpg underground storage plastic area rock stability underground storage Artificial Intelligence displacement optimization maximum...

... value Artificial Intelligence underground structure RMR classification system classification method support system equation behesht abad optimize support system rock mass tunnel Bieniawski rock mass classification Rock Characterisation, Modelling and Engineering Design Methods Feng...

.... metals & mining Engineering Reservoir Characterization Upstream Oil & Gas information machine learning neural network severity procedure rockburst damage severity selection northeastern university estimation diversion tunnel neural network estimation Artificial Intelligence neural...

.... Artificial Intelligence complex reservoir Reservoir Characterization coalbed methane machine learning coal bed methane Upstream Oil & Gas coal side disintegration Chinese Journal loosen zone reservoir geomechanics coal seam gas Rock mechanics characteristic roadway rock side coal mass...

... 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. Artificial...

... calculation results is slightly larger. Artificial Intelligence hoek-brown criterion fitting algorithm reservoir geomechanics Engineering normal stress Reservoir Characterization Upstream Oil & Gas machine learning Wellbore Design friction cohesion algorithm fitting algorithm...

... behavior of a fracture. hydraulic fracturing aperture equivalent hydraulic aperture reservoir geomechanics Upstream Oil & Gas referenced composite topography method Reservoir Characterization fracture characterization fracture aperture fracture specimen Artificial Intelligence flow...