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Keywords: Artificial Intelligence
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Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-2071
... characterization discontinuity fragmentation runout runout talus deposit boise valley rockfall runout talus deposit software deposit runout 1 histogram runout 2 whitney terrace artificial intelligence talus deposit terrace basalt columnar basalt cliff ARMA 22 2071 Mapping and Characterization...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-2310
... is low and the cost is high. Therefore, a fast and accurate method for lithology identification is urgently needed. decision tree learning structural geology neural network well logging artificial intelligence lithology identification machine learning log analysis lithology upstream oil...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-2261
... during stimulation. Real-time data were broadcast during stimulations to allow real-time response to arising issues. upstream oil & gas production enhancement well intervention borehole imaging reservoir simulation artificial intelligence production monitoring reservoir characterization...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-2258
... signature upstream oil & gas machine learning hydraulic stimulation artificial intelligence wolfcamp alamos national laboratory fracture magnitude stimulation reservoir characterization stratigraphic analysis vector national laboratory dataset principal component analysis ARMA 22 2258...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-2204
...; Devarapalli et al., 2017; Mehmani et al., 2020; Wildenschild & Sheppard, 2013). algorithm upstream oil & gas reservoir simulation scaling method random forest algorithm carbonate machine learning interpolation artificial intelligence pixel assessment neural network reservoir...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-2224
... with significantly improved hydraulic conductivity without requiring the placement of proppant as in petroleum stimulation operations. united states government artificial intelligence orientation fracture reservoir geomechanics hypothesis hydraulic fracturing reservoir characterization fracture...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-2068
... system can potentially induce risks as identified by Fleuchaus et al. (2020), and their effects on HT-RTES performance have not been systematically reported. artificial intelligence evolution permeability reservoir characterization thc simulation upstream oil & gas flow-through operation...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-2178
... formations like granites. In RPD, a down-the-hole hammer is driven by either air or fluid (water) through drill pipes, which also acts as a cleaning mechanism for downhole cuttings. drilling operation structural geology artificial intelligence crater experiment engagement drilling optimization...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-2321
... rate of an EGS project. directional drilling electricity upstream oil & gas artificial intelligence permeability porosity enhanced geothermal system optimization geothermal reservoir drilling operation fracture npv reservoir injection configuration journal simulation-based...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0824
... stability analysis, effective mud program and reduced overall drilling time and cost (Tingay et al., 2009; Zoback, 2007). artificial intelligence neural network machine learning abdulraheem upstream oil & gas elkatatny journal petroleum engineer dataset gradient abdelaal artificial...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0822
... drilling fluid formulation drilling fluid property elkatatny abdulraheem hyperparameter accuracy artificial intelligence machine learning abdelaal baker hughe decision tree learning drilling fluid management & disposal drilling fluid chemistry rheology drilling drilling parameter mfv...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0433
... is the most common working fluid for the EGS due to its high heat capacity and thermal conductivity. wellbore drilling operation asia government upstream oil & gas neural network artificial intelligence production control exploitation china government conductivity production monitoring...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0052
... the possibility to forecast such costly events for operators and saves a tremendous amou nt of capital, meanwhile enhancing safety. fracturing fluid upstream oil & gas proppant deep learning hydraulic fracturing machine learning artificial intelligence fracturing materials accuracy neural...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0143
... three machined learning models to predict the lithology changes and formation tops in real-time while drilling including ANN, ANNFIS and FNN, the results shows ANN model shows better performance. upstream oil & gas artificial intelligence deep learning neural network structural geology...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0118
... pillar failure mechanisms and rock-support interaction. upstream oil & gas reservoir characterization bbm metals & mining rock mechanic walton artificial intelligence porosity journal hydraulic fracturing strength diederich simulation bonded block model method modulus grain...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0077
... and displacement are artificially controllable. Therefore, reasonable drilling fluid density and displacement can be selected to maximize the open hole elongation capacity. drilling operation artificial intelligence double-parameter optimization method directional drilling displacement constraint...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0023
... the cohesion and internal friction angle of rock salt based on the Coulomb criterion. fluid dynamics artificial intelligence upstream oil & gas reservoir characterization flow in porous media hoek-brown criterion strength deformation fitting characteristic waste management mohr-coulomb...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0142
... using drilling parameters. These models can be used to make real time drilling optimization by equipment design guidance and drilling parameters selection. dataset artificial intelligence upstream oil & gas drilling fluids and materials machine learning xgboost drilling operation...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0214
...., 2020). However, the effect of heterogeneity on the upscaled material parameter is missing in literatures. upstream oil & gas optimization problem reservoir simulation reservoir geomechanics wellbore design artificial intelligence wellbore integrity reservoir modeling & simulation...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0017
... by Golder Associates has since been referred to as the Mathews Stability Graph Method (Mathews et al., 1981). metals & mining stope assumption artificial intelligence machine learning database stability graph reservoir characterization factor modification potvin reservoir geomechanics...

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