Prediction of rock mechanical parameters for hydrocarbon reservoirs using different artificial intelligence techniques

Society of Petroleum Engineers - SPE Saudi Arabia Section Technical Symposium 2009

Volumn , Issue , 2009, Pages

  Abdulraheem, A ^a   Ahmed, M ^b   Vantala, A ^b   Parvez, T ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

^b SCHLUMBERGER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICS; ELASTIC MODULI; ELASTICITY; FUZZY LOGIC; FUZZY NEURAL NETWORKS; GAS INDUSTRY; LIME; OIL WELLS; PETROLEUM GEOLOGY; PETROLEUM INDUSTRY; PETROLEUM RESERVOIRS; POISSON RATIO; PREDICTIVE ANALYTICS; ROCKS; SHEAR FLOW; SHEAR WAVES; STRESSES; WELL LOGGING;

ARTIFICIAL INTELLIGENCE METHODS; ARTIFICIAL INTELLIGENCE TECHNIQUES; DYNAMIC ELASTIC PROPERTY; EXPERIMENTAL PROGRAM; HYDROCARBON RESERVOIR; MECHANICAL PARAMETERS; RESERVOIR COMPACTION; ROCK MECHANICAL PARAMETERS;

OIL WELL LOGGING;

EID: 77958487305     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/126094-ms     Document Type: Conference Paper

References (10)

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