Prediction of compressional, shear, and Stoneley wave velocities from conventional well log data using a committee machine with intelligent systems

Rock Mechanics and Rock Engineering

Volumn 45, Issue 1, 2012, Pages 45-63

  Asoodeh, Mojtaba ^a   Bagheripour, Parisa ^b  

^a PETROLEUM UNIVERSITY OF TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Artificial neural network; Conventional well logs; Fuzzy logic; Genetic algorithm; Neuro fuzzy; Sonic wave velocities

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ASMARI FORMATIONS; CARBONATE RESERVOIR; COMMITTEE MACHINES; COMPRESSIONAL; CONVENTIONAL WELL LOGS; DATA POINTS; GEOMECHANICAL STUDIES; HYBRID GENETIC; HYDROCARBON RESERVOIR; INTELLIGENT MODELS; NEURO-FUZZY; NEURO-FUZZY ALGORITHMS; NEURO-FUZZY MODEL; QUANTITATIVE FORMULATIONS; SEARCH TECHNIQUE; SEARCH TOOLS; SONIC WAVES; STONELEY WAVES; WEIGHT FACTOR; WELL LOG DATA; WELL LOGS;

FORECASTING; FUZZY LOGIC; FUZZY SETS; GENETIC ALGORITHMS; HYDROCARBONS; INTELLIGENT SYSTEMS; NEURAL NETWORKS; OIL FIELDS; PETROLEUM RESERVOIR ENGINEERING; PETROLEUM RESERVOIRS; VELOCITY; WELL LOGGING;

SHEAR FLOW;

ARTIFICIAL NEURAL NETWORK; COMPRESSION; FUZZY MATHEMATICS; GENETIC ALGORITHM; HYDROCARBON RESERVOIR; OIL FIELD; PREDICTION; S-WAVE; SONIC BOOM; STONELEY WAVE; WAVE VELOCITY; WELL LOGGING;

EID: 84855999341     PISSN: 07232632     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00603-011-0181-2     Document Type: Article

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