Using artificial neural networks to generate synthetic well logs

Journal of Natural Gas Science and Engineering

Volumn 1, Issue 4-5, 2009, Pages 118-133

  Rolon, Luisa ^a   Mohaghegh, Shahab D ^b,c   Ameri, Sam ^b   Gaskari, Razi ^c   McDaniel, Bret ^a  

^a CHEVRON ENERGY TECHNOLOGY COMPANY   (United States)

^b WEST VIRGINIA UNIVERSITY   (United States)

^c Intelligent Solutions Inc   (United States)

Author keywords

Artificial intelligence; Neural networks; Petrophysics; Reservoir characterization; Synthetic logs; Well logs

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CALIBRATION AND VERIFICATION; CONVENTIONAL APPROACH; DEGREE OF ACCURACY; DENSITY LOG; GENERALIZED REGRESSION NEURAL NETWORKS; NEURAL NETWORK MODEL; NEUTRON LOG; PETROPHYSICS; RESERVOIR CHARACTERIZATION; RESERVOIR PROPERTY; RESISTIVITY LOGS; SYNTHETIC LOGS; WELL LOGS;

BACKPROPAGATION; CALIBRATION; COST REDUCTION; ELECTRIC LOGGING; ELECTROMAGNETIC LOGGING; ELECTROMAGNETIC WAVES; GAMMA RAYS; NEUTRON LOGGING; NEUTRONS; OIL WELL LOGGING; PETROLEUM RESERVOIRS; STARS; WELLS;

NEURAL NETWORKS;

EID: 71649087374     PISSN: 18755100     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jngse.2009.08.003     Document Type: Article

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