... characterization engineering geological subdiscipline dataset diameter reservoir geomechanics coefficient preliminary blast fragmentation modeling geologist artificial intelligence machine learning university predictor prediction application lexington statistic information mining engineering...

... excavation televiewer geological subdiscipline operator drilling operation reservoir characterization breakout assessment information ddh 001 mining mining science orientation magnitude seismicity international journal orebody rock mechanic ARMA 24 54 Proactive Identification of Adverse...

... in data-constrained environments. Besides, adding more priori information (more trained models used by p-INO) can further enhance the process. This experiment demonstrates p-INO's robustness in leveraging sparse datasets for precise predictions across complex subsurface physics scenarios. The findings...

... geologist artificial intelligence machine learning consumption experiment engineering wang geology accuracy cutter operation international journal colorado school golden rock type reservoir characterization journal classification algorithm information evan reservoir geomechanics...

... structure state is achieved through the integration of tunnel internal surface images and 3D point cloud information. Secondly, to address the specialized expert knowledge and experience in tunnel maintenance work, the study explores methods for knowledge representation, extraction, and integration...

... parameters. Rock mass parameters include lithology, weathering, strength, rock defects, rock quality (RQD), and the number and fabric of the structure sets. Discontinuity information collected includes the structure type, persistence, fracture count spacing, infill type and thickness, joint alteration...

... in porous media reservoir geomechanics formation moduli heterogeneity geologist sedimentology lithofacies saturation williston basin well logging equation reservoir characterization north dakota variation information geophysics ARMA 24 858 Analysis of the Deadwood Formation in North...

.... However, in the new exploration area with less well logging data, this method is also limited. Drill cuttings represent a large source of information which is available without any additional cost. If used on the rig, information will be available close to real time (Fjaer et al., 2008). There are quite...

... empirical correlation petrobras heterogeneous microbial limestone outlier information ARMA 24 1066 Predicting strength properties applying machine learning techniques for highly heterogeneous microbial limestones from Brazilian pre-salt reservoirs Ferreira, F. H.(a), Borba, A. M.(a), Garcia, P. F. V...

... operations. artificial intelligence module geologist reservoir geomechanics stability graph geology reservoir characterization stope dilution software overbreak database geological subdiscipline mawdesley information clark database operation category stability boundary vallejo...

... outcomes. geology machine learning fragmentation reservoir geomechanics frequency geologist reservoir characterization vibration ppv blasthole scenario higher maintaining ppv lower shifting highwall blast vibration frequency information resonant frequency vibration frequency higher...

... and the roughness of the joints. Therefore, these three parameters can be calculated by evaluating the spatial information from the outcrop surface. facet outcrop calculation geologist machine learning jrc 20 longdong outcrop artificial intelligence orientation spherical k-means algorithm rock...

... saturation information neuron permeability algorithm neural network reservoir characterization correlation porosity ggy spearman correlation coefficient qhf hessian matrix ffc thickness prediction accuracy mky construction ARMA 24 1136 Analysis of influencing factors of fracturing effect...

..., and is an effective means of reservoir microstructure research. However, there is a contradiction between the field of view and the resolution of the digital core (Lin et al., 2019). When the resolution is low, a larger core size can be obtained, but at the same time, some microstructure information will be lost...

.... sustainability sedimentary rock structural geology social responsibility efficiency clastic rock rock type mineral reservoir characterization sustainable development geologist reservoir sandstone cacl 2 tailwater information reinjection efficiency mgcl 2 guanzhong basin sandstone geothermal...

... sections. This method uses an adaptive threshold algorithm to eliminate the noise and improve efficiency in processing relevant boundary information using the finite element method, validated by a numerical uniaxial compression simulation. The results show that the mineral layer's proportion, distribution...

..., 2016). mathematics of computing sitar discontinuity simulation flow-3d erosion coefficient geometry stability vector plane artificial intelligence unblock-gen mesh scour computational requirement spillway journal polyhedron gardner engineering information ARMA 24 284...

... this issue. cloud software deformation geotechnical engineer information risk management geomechanics lidar support deformation monitoring comparison artificial intelligence australian centre expansion extraction tracking perth underground void western australia ARMA 24 312...

... and multiple clusters, and used the fiber data to invert the fracture hitting point location and fracture width information. (Chen et al., 2022) analyzed and summarized the evolution of the strain rate waterfall diagram before and after the fracture hit the fiber. (Smith Leggett et al., 2022) proposed a "zero...

... ABSTRACT: Seismic monitoring is a useful tool in understanding the rockmass response to mining. The waveforms recorded by sensors contain information not only about where and when a seismic event occurred but also about the driving stresses, failure mechanism and the intervening rockmass...