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Keywords: Artificial Intelligence
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Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0174
... robot auger implementation bulk density drilling load geology artificial intelligence drilling method subsurface drilling tool mechanism frenet-serret frame mathematical model ultra-deep exploration self-burrowing robot mole-type burrowing system ARMA 23 0174 Towards Ultra-deep...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0130
.... In this paper, a novel artificial intelligence model is proposed to accurately predict formation pore pressure in real-time. First, the dataset for model training is prepared after handling the outliers and missing values of the drilling and logging data, which collected from 12 wells in Tarim Basin...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0170
... changes. sedimentary rock fluid dynamics structural geology geologist asia government clastic rock upstream oil & gas fracturing fluid rock type artificial intelligence mudrock complex reservoir hydraulic fracturing flow in porous media stress sensitivity fracturing materials...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0182
... for considerable improvements in performance, efficiency, and profitability. upstream oil & gas geologist artificial intelligence acoustic impedance seismic model reservoir geomechanics geological subdiscipline pore pressure united states government log analysis machine learning geology well...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0180
... is to combine these several approaches, which have direct consequences for risk control in drilling operations (Pennington, 2001). sedimentary rock geology artificial intelligence upstream oil & gas mudrock clastic rock rock type geologist united states government well logging mudstone...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0163
... analysis machine learning workflow log suite unconfined compressive strength information geological subdiscipline high resolution geomechanical dataset young heterogeneity well logging reservoir characterization log scale machine learning evan gragg samuel fluckiger geology artificial...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0255
..., in the absence of high-quality laboratory cores, it is challenging to accurately conduct experiments. Therefore, this study uses artificial intelligence techniques to predict uniaxial compressive strength by combining well logs and laboratory mechanical results. upstream oil & gas sedimentary rock...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0218
... training sample artificial intelligence geological subdiscipline ground surface salimzadeh adversarial network tiltmeter ARMA 23 218 Predicting ground surface deformation induced by pressurized fractures using conditional generative adversarial networks Salimzadeh, S. and Kasperczyk, D...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0292
... and draw rates (See Section 4.1 for detail Wetmuck Classification). upstream oil & gas geology artificial intelligence geological subdiscipline recovery drawpoint reservoir characterization pillar recovery area geologist asia government reservoir geomechanics canada government pillar...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0210
... pressure prediction. sedimentary rock geologist clastic rock upstream oil & gas asia government complex reservoir carbonate formation rock type carbonate reservoir structural geology china government reservoir geomechanics log analysis artificial intelligence reservoir...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0273
... of understanding the field-scale problems through laboratory work. Our recent studies investigate the energy release organization from the rock fracture process through the graphic perspective. The graph theory belongs to a sub-branch of artificial intelligence research, though draws limited attention within...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0315
... of the proppant geologist upstream oil & gas fracture structural geology hydraulic fracturing united states government proppant reservoir simulation history matching fracturing fluid artificial intelligence reservoir characterization reservoir geomechanics canada government ml model...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0287
.... upstream oil & gas deep learning reservoir surveillance clastic rock rock type prediction geologist united states government artificial intelligence geological subdiscipline machine learning lstm test data nrmse nnse production control training data application sedimentary rock...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0336
..., slope stability, and hazard monitoring, which can reduce risk exposure and provide crucial information to the technical team, as discussed by Papathanassiou et al. (2020). geology geologist reservoir geomechanics discontinuity geological subdiscipline brazil government artificial...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0272
.... This method has incorporated with the spatial and temporal clustering but has not included any form of magnitude clustering (Field et al., 2017; Hardebeck, 2013; Ogata, 1988). geologist plate tectonics structural geology reservoir geomechanics upstream oil & gas artificial intelligence...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0293
... optimization process diameter neuron decision tree bit parameter united states government neural network artificial intelligence machine learning horizontal section requirement drill bit model bit optimization application use effect ABSTRACT In the process of oil and gas drilling...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0271
... drilling operation impact map asia government artificial intelligence onepetro impact value advisory system safe operating zone drilling parameter value digital advisor surface map softness value severity united states government india government recommendation dysfunction vibration...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0326
... operation asia government pipe neural network lstm neuron classification problem drilling fluid management & disposal drill string different network model deep learning drilling fluids and materials united states government machine learning drilling equipment artificial intelligence...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0327
... is that the strong nonlinear relations between the ROP and the governing factors are not thoroughly understood (Zhang et al., 2022). geologist asia government machine learning hyperparameter optimization decision tree learning rop geology artificial intelligence upstream oil & gas china...

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