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Keywords: machine learning
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Proceedings Papers
Publisher: American Rock Mechanics Association
Paper presented at the 1st Canada - U.S. Rock Mechanics Symposium, May 27–31, 2007
Paper Number: ARMA-07-024
... classification machine learning rmr 76 Upstream Oil & Gas classification system unconfined compressive strength application support requirement rock mass property design method rock classification rock mass tunnel ABSTRACT ABSTRACT: Rock mass classification developed as a tool to allow...
Proceedings Papers
Publisher: American Rock Mechanics Association
Paper presented at the 1st Canada - U.S. Rock Mechanics Symposium, May 27–31, 2007
Paper Number: ARMA-07-155
... years ago, it does not appear to have been applied for real-time slope failure prediction in the mining industry until 2001, when it was used to predict the first of three largescale slope failures presented in this paper. machine learning structural geology Artificial Intelligence southeast...
Proceedings Papers
Publisher: American Rock Mechanics Association
Paper presented at the 1st Canada - U.S. Rock Mechanics Symposium, May 27–31, 2007
Paper Number: ARMA-07-166
... is the statistical presentation of ground failure incidents in the South African gold mining industry by Jager & Ryder (1999). knowledge management reservoir geomechanics metals & mining machine learning Artificial Intelligence HSSE reporting intersection Upstream Oil & Gas ground...
Proceedings Papers
Publisher: American Rock Mechanics Association
Paper presented at the 1st Canada - U.S. Rock Mechanics Symposium, May 27–31, 2007
Paper Number: ARMA-07-181
... Reservoir Characterization stope reservoir geomechanics transverse section time step elastic-viscoplastic model correlation safety factor machine learning Upstream Oil & Gas vertical section time-dependent displacement crosscut instrumentation actual reading scale factor...
Proceedings Papers
Publisher: American Rock Mechanics Association
Paper presented at the 1st Canada - U.S. Rock Mechanics Symposium, May 27–31, 2007
Paper Number: ARMA-07-171
.... Urbancic, T.I., Trifu, C.I. & Young, R.P. 1993. Microsesimic derived fault-planes and their relationship to focal mechan- ism, stress inversion and geological data. Geophys. Res. Let. 20(22): 2475-2483. metals & mining machine learning Artificial Intelligence temporal reasoning Engineering...
Proceedings Papers
Publisher: American Rock Mechanics Association
Paper presented at the 1st Canada - U.S. Rock Mechanics Symposium, May 27–31, 2007
Paper Number: ARMA-07-025
... of joints (spacing, size, aperture, infilling, roughness), orientation of the joints relative to opening axis, groundwater conditions and insitu stresses Artificial Intelligence strength drilling machine machine learning drilling operation Reservoir Characterization Wellbore Design soil nail...
Proceedings Papers
Publisher: American Rock Mechanics Association
Paper presented at the 1st Canada - U.S. Rock Mechanics Symposium, May 27–31, 2007
Paper Number: ARMA-07-031
... and density of internal flaws and heterogeneity. reservoir geomechanics strength machine learning Upstream Oil & Gas criterion initiation rockmass threshold tunnel diederich 2007 Reservoir Characterization transition function Martin Artificial Intelligence dilation hard rock...
Proceedings Papers
Publisher: American Rock Mechanics Association
Paper presented at the 1st Canada - U.S. Rock Mechanics Symposium, May 27–31, 2007
Paper Number: ARMA-07-036
... have developed empirical relationships to predict the value of deformation modulus for a rock mass. Some of the proposed empirical equations are listed in Table 1. Upstream Oil & Gas category machine learning classification correlation Reservoir Characterization RMR dam site...
Proceedings Papers
Publisher: American Rock Mechanics Association
Paper presented at the 1st Canada - U.S. Rock Mechanics Symposium, May 27–31, 2007
Paper Number: ARMA-07-016
... machine learning rock mechanics parameter Earth Model geophysical log Poisson Artificial Intelligence wavelet accuracy shear modulus log analysis closure pressure mechanics parameter sonic log equation seismic trace inversion fracture breakdown pressure lithomechanical parameter 2007...
Proceedings Papers
Publisher: American Rock Mechanics Association
Paper presented at the 1st Canada - U.S. Rock Mechanics Symposium, May 27–31, 2007
Paper Number: ARMA-07-026
... aperture prediction machine learning Upstream Oil & Gas Jimeno uniaxial compressive strength drillability index rock material drillability Kahraman penetration rate compressive strength texture hardness osanloo 1998 RDi rock mass 2007. Permission to Distribute - American Rock...
Proceedings Papers
Publisher: American Rock Mechanics Association
Paper presented at the 1st Canada - U.S. Rock Mechanics Symposium, May 27–31, 2007
Paper Number: ARMA-07-037
... TO PERMEABILITY ANALYSIS Figure1 summarizes a general process to prediction and analysis of “lugeon data. machine learning neural network Artificial Intelligence Upstream Oil & Gas fuzzy logic Lugeon value variation algorithm BPF inference system owladeghaffari investigation SOM water...
Proceedings Papers
Publisher: American Rock Mechanics Association
Paper presented at the 1st Canada - U.S. Rock Mechanics Symposium, May 27–31, 2007
Paper Number: ARMA-07-102
... deformation modulus machine learning mechanical property Wellbore Design Florida describe engineering property Artificial Intelligence strength specimen macropore macroporosity local regression University confidence band Styrofoam inclusion experimental data styrofoam macropore 2007...