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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-2022-2068
... 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 operation prediction...
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 artificial intelligence deposit talus deposit runout 1 terrace software histogram basalt columnar basalt cliff runout 2 rockfall runout talus deposit whitney terrace 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-2022-2178
... rock formation structural geology artificial intelligence bit design experiment drilling optimization model bit selection validation reservoir characterization comparison bpi experimental study indentation efficiency improved performance penetration frequency ARMA 22 2178...
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 artificial intelligence machine learning interpolation statistics carbonate rock image data pixel assessment evaluation information reservoir simulation scaling method...
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. fracture hydraulic fracturing united states government artificial intelligence orientation strength reservoir geomechanics hypothesis assumption reservoir...
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 stimulation stratigraphic analysis reservoir characterization vector national laboratory principal component analysis fracture magnitude wolfcamp alamos national laboratory dataset ARMA 22 2258...
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 borehole imaging production enhancement fracture characterization well intervention artificial intelligence production monitoring reservoir...
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-2022-2321
... rate of an EGS project. directional drilling upstream oil & gas artificial intelligence reservoir configuration electricity permeability porosity enhanced geothermal system optimization geothermal reservoir drilling operation fracture npv injection simulation-based pattern...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0320
... reservoir surveillance fuzzy logic production control artificial intelligence selection upstream oil & gas well intervention downhole intervention production monitoring stimulation rasouli djezzar application workflow complex reservoir flow in porous media well performance reservoir...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0339
... that they could take advantage of the data more efficiently. The application of artificial intelligence (AI) and specifically machine learning (ML) along with big data analytics have known an enormous surge. deep learning upstream oil & gas well logging outlier equation dataset optimization...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0344
... and evaluation methods differed by engineer even if it was the same tunnel cutting face that was observed. machine learning multiclass classification support pattern dii svm evaluation criteria judgement artificial intelligence classification construction natm tunnel cutting face tunnel...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0351
... will be significantly reduced. Therefore, it is necessary to obtain the wear condition of the drill bit in time to ensure the drilling speed. [2] neural network cutter deep learning bit selection opencv upstream oil & gas artificial intelligence detection bit design machine learning beijing china...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0358
... the wide interest of foreign and domestic researchers. deep learning prediction sequence upstream oil & gas well logging machine learning artificial intelligence reservoir characterization rnn engineering information application algorithm gated recurrent unit network intelligence...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0363
.... upstream oil & gas artificial intelligence reservoir characterization hydraulic fracturing evaluation well logging fracture propagation machine learning perforation permeability journal coefficient reservoir geomechanics propagation cuttings microfracture correlation abrasion...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0364
... optimization problem artificial intelligence fracture directional drilling neural network shale gas reservoir horizontal shale gas well genetic algorithm ann artificial neural network correlation neuron shale reservoir hydraulic fracturing machine learning hydraulic fracturing design...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0375
... is low. artificial intelligence prediction rop constraint neural network drillability journal drillability constraint engineering upstream oil & gas machine learning reliability algorithm evaluation rock drillability constraint penetration prediction china university wang...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0408
... artificial intelligence machine learning borehole interpretation atv reservoir geomechanics segmentation processing amplitude efficiency automated extraction accuracy boundary application neural network reservoir characterization procedure noise international conference acoustic televiewer...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0409
.... In this paper, we take advantage of the robust time series prediction of RNN to establish an LSTM-based stick-slip early warning model, which can effectively mitigate the occurrence of stick-slip during the drilling. deep learning drillstring design upstream oil & gas artificial intelligence...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0415
... amanbek wavelet transformation algorithm lightgbm debit accuracy gradient kazakhstan us rock mechanic geomechanics symposium artificial intelligence dataset simulation maintenance optimization recovery ARMA 22-415 Time-series event prediction for the uranium production wells using machine...

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