The prediction of permeability using an artificial neural network system

Petroleum Science and Technology

Volumn 30, Issue 20, 2012, Pages 2108-2113

  Pazuki, G R ^a   Nikookar, M ^b   Dehnavi, M ^c   Al Anazi, B ^d  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b NATIONAL IRANIAN OIL COMPANY   (Iran)

^c SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

^d KING ABDULAZIZ CITY FOR SCIENCE AND TECHNOLOGY   (Saudi Arabia)

Author keywords

artificial neural network; modeling; permeabililty; reservoir

Indexed keywords

EXPERIMENTAL DATA; KEY PARAMETERS; LEARNING METHODS; MIDDLE LAYER; MULTILAYER PERCEPTRON NEURAL NETWORKS; NEURAL NETWORK MODEL; NODE NUMBER; OFFSHORE RESERVOIRS; PERMEABILILTY; RESERVOIR CHARACTERIZATION; SAUDI ARABIA; THREE-LAYER;

BACKPROPAGATION; LEARNING ALGORITHMS; MODELS; PETROLEUM RESERVOIRS; RESERVOIRS (WATER);

NEURAL NETWORKS;

EID: 84865501836     PISSN: 10916466     EISSN: 15322459     Source Type: Journal    
DOI: 10.1080/10916466.2010.512888     Document Type: Article

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