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Keywords: machine learning
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Proceedings Papers

Paper presented at the Gulf Rocks 2004, the 6th North America Rock Mechanics Symposium (NARMS), June 5–9, 2004
Paper Number: ARMA-04-478
... and their application on induced seismic events, ACTA MONTANA IRSM AS CR, Ser. A, No. 10 (102), 1-12. Artificial Intelligence pressure condition neural network correlation net pressure mean effective stress pore pressure prediction shale sandstone overpressure machine learning Upstream Oil & Gas...
Proceedings Papers

Paper presented at the Gulf Rocks 2004, the 6th North America Rock Mechanics Symposium (NARMS), June 5–9, 2004
Paper Number: ARMA-04-426
... well logging machine learning frequency Artificial Intelligence ISBN imagery cohesion earth material permittivity reflectance normal stress porosity saturation Reservoir Characterization US government friction phreatic surface dielectric permittivity relative permittivity tangent...
Proceedings Papers

Paper presented at the Gulf Rocks 2004, the 6th North America Rock Mechanics Symposium (NARMS), June 5–9, 2004
Paper Number: ARMA-04-488
... fracturing Artificial Intelligence Upstream Oil & Gas exponent aperture outcrop sandstone dolostone aperture size cumulative frequency Cupido dolostone power law Texas coefficient pottsville sandstone intensity machine learning fracture characterization Thickness kinematic aperture...
Proceedings Papers

Paper presented at the Gulf Rocks 2004, the 6th North America Rock Mechanics Symposium (NARMS), June 5–9, 2004
Paper Number: ARMA-04-517
... machine learning Upstream Oil & Gas variance random variable gamma pdf Standard Deviation Artificial Intelligence strength failure mass safety factor US government waviness wedge effective normal stress shear strength tensile strength metals & mining Engineering failure...
Proceedings Papers

Paper presented at the Gulf Rocks 2004, the 6th North America Rock Mechanics Symposium (NARMS), June 5–9, 2004
Paper Number: ARMA-04-511
... reservoir geomechanics relation machine learning hydraulic fracturing Artificial Intelligence Reservoir Characterization rock compliance experimental result compressive loading Upstream Oil & Gas compliance compressive stress rock specimen deformation hyperbolic model specimen...
Proceedings Papers

Paper presented at the Gulf Rocks 2004, the 6th North America Rock Mechanics Symposium (NARMS), June 5–9, 2004
Paper Number: ARMA-04-519
... real time system Upstream Oil & Gas dimension Artificial Intelligence orientation hydraulic fracturing displacement machine learning fracture dimension tiltmeter measurement procedure fracture orientation treatment efficiency real-time estimation inversion hydraulic fracture...
Proceedings Papers

Paper presented at the Gulf Rocks 2004, the 6th North America Rock Mechanics Symposium (NARMS), June 5–9, 2004
Paper Number: ARMA-04-521
... the full stress change tensor) provides a strong measure of the confidence that can be placed in the integrity of the result. machine learning fracture mechanics stress change data hydraulic fracturing stress bar borehole Upstream Oil & Gas tensile hydraulic fracture information...
Proceedings Papers

Paper presented at the Gulf Rocks 2004, the 6th North America Rock Mechanics Symposium (NARMS), June 5–9, 2004
Paper Number: ARMA-04-516
... stress measurement machine learning Artificial Intelligence classification primitive field stress stillwater complex excavation deformation field stress 1. INTRODUCTION The Stillwater Mine, the largest primary producer of palladium and platinum in the Western Hemisphere, is situated...
Proceedings Papers

Paper presented at the 4th North American Rock Mechanics Symposium, July 31–August 3, 2000
Paper Number: ARMA-2000-0049
... mining machine learning reservoir geomechanics US government production control Reservoir Surveillance metals & mining Artificial Intelligence quarry operation cutter rock property Reservoir Characterization production monitoring Upstream Oil & Gas wedge specimen diesel...
Proceedings Papers

Paper presented at the 4th North American Rock Mechanics Symposium, July 31–August 3, 2000
Paper Number: ARMA-2000-0659
.... A Study'ofStandardization of Variables in Cluster Analysis. Journal of Classification 5: 181-204. Morrison, D. G. 1967. Measurement Problel11S in Cluster Analy- sis. Management Science 13: 775-780. 666 noise variable cooper 1988 machine learning selection variable selection Artificial Intelligence recovery...
Proceedings Papers

Paper presented at the 4th North American Rock Mechanics Symposium, July 31–August 3, 2000
Paper Number: ARMA-2000-0667
... orientation roughness Artificial Intelligence Pattern Recognition Upstream Oil & Gas Euclidean Distance machine learning discontinuity data analysis quantization method bias index borehole algorithm cluster analysis discontinuity stereonet minimum value inclination angle...
Proceedings Papers

Paper presented at the 4th North American Rock Mechanics Symposium, July 31–August 3, 2000
Paper Number: ARMA-2000-1195
... Symp, on Rock Mech. Cal: 105-125. M. 1982, Fabric tensor for discontinuous geological materials. Soils and Foundations. 22: 96-108: UDEC 1996, Universal Distinct Element user's Manual, Itasca Consulting Group, Inc., Vol. I & 2. 1202 Artificial Intelligence machine learning Upstream Oil & Gas...
Proceedings Papers

Paper presented at the 2nd North American Rock Mechanics Symposium, June 19–21, 1996
Paper Number: ARMA-96-1185
..., so they are expressing the regional geological history N020ºE, N040ºE(1)¸ N110-115ºE (2), N145-150ºE (3) and N060-080ºE (4), Figure 1. hydraulic fracturing orientation correlation matrix machine learning Upstream Oil & Gas eccentricity characteristic fracture network rock mass...
Proceedings Papers

Paper presented at the 2nd North American Rock Mechanics Symposium, June 19–21, 1996
Paper Number: ARMA-96-1567
... of Cecil and others which were applied by Lee and Sterling, and Moon and Lee (1993). The inferred results, learning speed and ability were compared with those others. neural network deviation rock property algorithm machine learning node Lee output layer determination Sterling Upstream Oil...
Proceedings Papers

Paper presented at the 2nd North American Rock Mechanics Symposium, June 19–21, 1996
Paper Number: ARMA-96-1809
... of the each set k. For each fracture i, the probability that the fracture is a member of set k is calculated using the value of the probability density function for that property and set, taken at the value of that fracture. Reservoir Characterization Upstream Oil & Gas Dershowitz machine...
Proceedings Papers

Paper presented at the 1st North American Rock Mechanics Symposium, June 1–3, 1994
Paper Number: ARMA-1994-0319
... project information. Artificial Intelligence machine learning criteria classification information construction method Upstream Oil & Gas Simulation database penetration rate utilization subsystem random number System Configuration equation excavation system performance simulation...
Proceedings Papers

Paper presented at the 1st North American Rock Mechanics Symposium, June 1–3, 1994
Paper Number: ARMA-1994-0793
... are fractal. An example of the inverse problem of determining the fractal nature of unknown fault traces from seismicity is given. Artificial Intelligence Pattern Recognition hydraulic fracturing Barton point pattern fault trace experiment machine learning complex reservoir dimension fracture...

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