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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
... Artificial Intelligence pressure condition neural network correlation net pressure mean effective stress pore pressure prediction shale sandstone overpressure machine learning Upstream Oil & Gas Muderong Shale compaction Dewhurst Reservoir Characterization pore pressure...
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
... 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 power-law...
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
... be calculated. A high level of redundancy (only six of the eighteen strain readings are required to determine 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...
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 ABSTRACT: Primitive field stresses are the stresses that prevail today in the rock as a result of the original geologic formative...
Proceedings Papers

Paper presented at the 4th North American Rock Mechanics Symposium, July 31–August 3, 2000
Paper Number: ARMA-2000-0049
... project. It was found that the IKC tool, when mounted on a properly sized hydraulic breaker and operated by experienced people, can be production rate competitive with explosives for trenching, tunneling, vein mining machine learning reservoir geomechanics US government production control...
Proceedings Papers

Paper presented at the 4th North American Rock Mechanics Symposium, July 31–August 3, 2000
Paper Number: ARMA-2000-0659
... problem. This paper looks at the issues surrounding variable weighting and standardization, and proposes algorithms for addressing the difficulties associated with it in fuzzy K -means cluster analysis. noise variable cooper 1988 machine learning selection variable selection Artificial...
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
... estimation of parameters of the constitutive models through laboratory testing, it seems possible to obtain good agreements between the experimental and distinct element numerical results. Artificial Intelligence machine learning Upstream Oil & Gas mass strength criterion jointed model...
Proceedings Papers

Paper presented at the 2nd North American Rock Mechanics Symposium, June 19–21, 1996
Paper Number: ARMA-96-1185
... fracture directions, 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...
Proceedings Papers

Paper presented at the 2nd North American Rock Mechanics Symposium, June 19–21, 1996
Paper Number: ARMA-96-1567
... reference data 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...
Proceedings Papers

Paper presented at the 2nd North American Rock Mechanics Symposium, June 19–21, 1996
Paper Number: ARMA-96-1809
... & Gas Dershowitz machine learning fracture characterization mean pole Artificial Intelligence orientation iteration probability density function stochastic approach probability hydraulic fracturing Example application verification case Fisher algorithm orientation distribution geier...
Proceedings Papers

Paper presented at the 1st North American Rock Mechanics Symposium, June 1–3, 1994
Paper Number: ARMA-1994-0319
... on available 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...
Proceedings Papers

Paper presented at the 1st North American Rock Mechanics Symposium, June 1–3, 1994
Paper Number: ARMA-1994-0793
... 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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