A committee neural network for prediction of normalized oil content from well log data: An example from South Pars Gas Field, Persian Gulf

Journal of Petroleum Science and Engineering

Volumn 65, Issue 1-2, 2009, Pages 23-32

  Kadkhodaie Ilkhchi, Ali ^a   Rezaee, M Reza ^a,b   Rahimpour Bonab, Hossain ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

^b CURTIN UNIVERSITY   (Australia)

Author keywords

Committee machine with training algorithms; Genetic algorithm; Neural network; Normalized oil content; South Pars Gas Field; Well log data

Indexed keywords

BAYESIAN REGULARIZATIONS; COMMITTEE MACHINE WITH TRAINING ALGORITHMS; DATA SETS; GEOCHEMICAL FACTORS; GRADIENT DESCENTS; HYDROCARBON SOURCE ROCKS; IMPROVED MODELS; LEVENBERG-MARQUARDT; LOG RESPONSE; NEURAL NETWORK TRAININGS; NORMALIZED OIL CONTENT; ONE STEPS; OPTIMAL COMBINATIONS; PERSIAN GULFS; RESILIENT BACK PROPAGATION; SOUTH PARS GAS FIELD; TESTING SAMPLES; WEIGHT FACTORS; WELL LOG DATA; WELL LOGS;

BIOLOGICAL MATERIALS; ELECTRIC NETWORK TOPOLOGY; GAS INDUSTRY; GASES; GENETIC ALGORITHMS; HYDROCARBONS; OIL WELL LOGGING; OIL WELL PRODUCTION; STATISTICAL TESTS; WELL LOGGING; WELL TESTING;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; GENETIC ALGORITHM; HYDROCARBON RESOURCE; SOURCE ROCK; WELL LOGGING;

ARABIAN SEA; INDIAN OCEAN; PERSIAN GULF;

EID: 60549088670     PISSN: 09204105     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.petrol.2008.12.012     Document Type: Article

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