... characterization waveform canada diederich journal sensor pico sensor geologist igneous rock shear ohtsu engineering foliation rock mechanic program international journal ARMA 24 0445 Measuring brittle damage thresholds of crystalline rocks by acoustic emissions on compressive and tensile...

... 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...

... and more sustainable geothermal energy production. plate tectonics geologist structural geology reservoir characterization fracture geological subdiscipline reservoir geomechanics experiment magnitude recovery assembly rupture sensor plaster alamos national laboratory seismicity...

... plane loading sensor moduli isotropic compression compression poisson convention ae sensor sierra white granite orientation microcrack mpa ARMA 24 0544 Characterization of Direction-Dependent Properties of Sierra White Granite: Initial Results Kafle, L., Mok, U. and Einstein, H.H...

... experiment production control sensor hydraulic fracture transmissibility correspond epoxy resin lecampion geological subdiscipline injection reaction inlet heating zimbabwe gabbro thermocouple fracture storage thermal energy storage mpa underground heat storage ARMA 24-0540 Experimental...

... the injection zone, directly influenced by the leakage rate. Notably, pressure changes were found to be more sensitive to leaks compared to gas saturation changes, enabling early detection, especially at higher leakage rates. While the AIZ-1 sensor exhibited larger and earlier pressure changes due to its...

... ABSTRACT: Seismic monitoring systems have long been identified as a key tool for engineers to observe, quantify, and manage the seismic rockmass response to mining. The design of the seismic system, in terms of sensor layout, spacing, and type, is an important first step and is dependent...

... impedes the development of optimization and control algorithms aimed at maximizing the Rate of Penetration (ROP) amidst changing borehole conditions (Song et al., 2019). geologist drilling operation experiment kgf geology drilling equipment displacement sensor drill pipe selection...

... the measurements of fluid pressure, fracture opening at the wellbore and continuous recording of passive acoustic at sixteen sensors. The combination of acoustic data, fluid pressure, and fracture opening measurements offer an interesting dataset to better understand fracture closure. Both the width and pressure...

... behaviour, ii) data from sensors installed within the construction site and uses genetic algorithms as the optimization technique to minimize the objective function (de Santos, 2015). rock type artificial intelligence geomechanics geologist prediction geological subdiscipline geology reservoir...

...% to 60% of the UCS for all but 2 of the specimens. The CAEH CI values were generally higher than the stress-strain CI values, and were sensitive to the selection of the initial point. Data from two AE sensors mounted on the same specimen yielded surprisingly different CI values. 1. INTRODUCTION...

... safer, enhancing its resilience, and preparing for future climates. Currently, dedicated sensors such as cameras and vibration sensors have been deployed directly on infrastructure for monitoring. Nevertheless, these dedicated sensors require on-site installation and maintenance, which is inefficient...

... saturation repository rutqvist granular bentonite lawrence berkeley national laboratory conductivity heater evolution sensor permeability ARMA 24 1178 Modeling of thermo-hydro-mechanical processes in a bentonite buffer under high temperature Samarakoon, R.A. and Zheng, L. Lawrence Berkeley...

..., this topic exceeds the scope of this paper and will be the theme of future work. 1. INTRODUCTION Acoustic emission (AE) testing has been extensively used for delineating the rock fracture process in a variety of scientific and engineering applications [1-6]. This technique uses piezoelectric AE sensors...

.... geology united states government artificial intelligence accuracy geologist neural network reservoir characterization diameter monitoring system cement ratio metals & mining wave velocity seismic wave velocity productivity velocity model upstream oil & gas sensor machine learning...

... geomechanics emergent technology rock bolt industrial revolution mitra sustainability digitalization sensor sensor technology application australia operation ARMA 23 0546 Digitalization in Mining Geomechanics Looking to the Future Mitra, R. Department of Mining Engineering & Management, SD...

... ABSTRACT In this study, Barre granite cubes were hydraulically fractured in laboratory, using different viscosity injection fluids. Hydraulic Fracturing (HF) experiments were monitored with real-time acoustic emission (AE) setup which consisted of 16 calibrated Nano-30 sensors. The spectral...

... tectonics artificial intelligence machine learning energy ratio metals & mining merensky reef es ep gibowicz & kijko mendecki south africa government mechanism sensor geological structure s-wave rockburst characterization pillar seismic event reservoir characterization source...

... facies plane ae sensor porous sandstone porous material calcite geological subdiscipline strength sensor nf-b interface sample united states government europe government carbonate mineral central image failure test calcite nodule interface dudley ae event cross section imaging strain...

... on the direction of AE wave propagation rather than the geometrical arrangement of the sensors in the presence of the voids, backfills, and fractures. AE signal arrivals to receivers are governed by the subsurface variability, Snell's law, and AE wave propagation direction. These factors should be considered...