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Keywords: Artificial Intelligence
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Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1429
... industry. The refracturing technique can restore or increase well productivity and may provide additional reserves by improving hydrocarbon recovery. reservoir geomechanics mechanics geomechanics symposium well fracture artificial intelligence total stress change geofrac-3d reservoir...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1579
.... Therefore, how to efficiently and economically predict the FSV of each fracturing section of a horizontal well is one of the important tasks faced by field engineers. artificial intelligence directional drilling reservoir characterization complex reservoir fuzzy logic upstream oil & gas...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1592
... should be evaluated precisely and completely. However, it is challenging work to evaluate the wells' performance and optimize well controls, especially for wells under reservoir parameters uncertainty and completion uncertainty. production control artificial intelligence enhanced recovery...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1600
... medium rock property metals & mining upstream oil & gas artificial intelligence rock property node python script learning approach prediction dataset shape code principal stress distribution simulation in-situ stress condition plastic zone underground excavation excavation stress...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1623
... in most cases (Edwards, 2003). artificial intelligence classification drilling operation borehole failure contour machine learning wellbore design wellbore failure histogram mechanism analysis binary image wellbore integrity upstream oil & gas mechanism firstly different type...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1627
... require geo-mechanical and petrophysical inputs, most often derived from well logs. reservoir geomechanics artificial intelligence complex reservoir reservoir simulation reservoir characterization drillstem testing upstream oil & gas drillstem/well testing variability simulator...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-0012
... in a manner simpler than the current use of stress as a controlling parameter. reservoir characterization wellbore design displacement artificial intelligence modeling metals & mining upstream oil & gas mbf model charge weight blasthole kinematic approach application ppv rock mass...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1979
... data is acquired. knowledge management orientation upstream oil & gas metals & mining cloudcompare & geotechnical slope optimization design rock fabric major structure cni west domain artificial intelligence field mapping stability analysis drone photogrammetry...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-2048
... model is available in the commercial finite element program ABAQUS®. The use of the DPL model significantly reduces computational expense in well simulations, since it avoids the use of the FORTRAN® subroutine in the program ABAQUS®. bayesian inference posterior distribution artificial...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-2066
... of the mechanical and hydraulic response at the laboratory scale and has the potential to enhance forward modelling of rock behavior during mining operations. metals & mining upstream oil & gas reservoir characterization equation of state artificial intelligence inverted difference image...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-2097
... operating pressure change curve artificial intelligence horizontal displacement well spacing natural gas storage thickness characteristic natural language displacement interlayer operation cavity salt rock vertical displacement beijing operating pressure constitutive model stability...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-2108
... risk and uncertainty assessment spatial reasoning risk management spatial analysis approach aquitard vertical extent mechanical properties prospective area aquifer upstream oil & gas input parameter cooper basin artificial intelligence hydraulic fracturing thickness academy...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1335
... for the distribution of dips. For a joint with no overall inclination, the value of A 0 is anticipated to be approximately 0.5, as half of the asperities would face one way while the other half would be facing the other way. artificial intelligence sawcut specimen machine learning complex reservoir...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1436
... representative transducer specimen precursor pyrak-nolte artificial intelligence seismic precursor direct shear experiment shear displacement purdue university lyle school transducer ARMA 21 1436 Transmitted, Reflected, and Converted Modes of Seismic Precursors to Shear Failure of Rock...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1987
... time and cost (Tingay et al., 2009; Zoback, 2007). artificial intelligence fuzzy logic abdulraheem machine learning neural network pore pressure gradient transfer function reservoir characterization upstream oil & gas elkatatny formation pressure prediction prediction petroleum...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1198
...-well stress interference, accurately evaluating and predicting the phenomenon of inter-well stress interference, and finding effective technology to reduce inter-well stress interference are of great significance to the efficient production of unconventional oil and gas. artificial intelligence...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-2129
..., and induced seismicity for both technologies. reservoir characterization machine learning drilling measurement enhanced recovery risk management well logging annular pressure drilling hydraulic fracturing drilling data acquisition artificial intelligence wellbore design reservoir...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-2011
...., 2012). machine learning logistic regression earthquake madrid binary classification predictor algorithm artificial intelligence spain coefficient landslide accuracy correspond random forest recursive elimination seismic-induced landslide román-herrera university complutense...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-2012
... and discuss some key improvement opportunities, such as: 1 - The use of nano-fluids to improve the drilling fluids properties, and artificial intelligence (AI) to provide reliability of drilling fluids selection, aiming to make the whole drilling operation safer and minimize non-productive time; 2 - New...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-2027
... of earthquake prediction. reservoir characterization machine learning enhanced recovery upstream oil & gas deep learning artificial intelligence earthquake generalization experiment application shear stress friction experiment prediction make prediction amplitude monitoring laboratory...

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