Application of recurrent networks to classification of oil reservoir models in well-testing analysis

Energy Sources, Part A: Recovery, Utilization and Environmental Effects

Volumn 37, Issue 2, 2015, Pages 174-180

  Vaferi, B ^a   Eslamloueyan, R ^a   Ayatollahi, S ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

oil reservoirs model detection; pressure derivative plots; recurrent neural networks; well testing

Indexed keywords

MULTILAYER NEURAL NETWORKS; MULTILAYERS; NEURAL NETWORKS; OIL WELL TESTING; PETROLEUM RESERVOIR ENGINEERING; PETROLEUM RESERVOIRS; WELL TESTING;

FIELD DATA; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; OIL RESERVOIRS; PRESSURE DERIVATIVES; RECURRENT NETWORKS; RESERVOIR MODELS; SIMULATION TESTS; WELL TESTING ANALYSIS;

RECURRENT NEURAL NETWORKS;

EID: 84940104487     PISSN: 15567036     EISSN: 15567230     Source Type: Journal    
DOI: 10.1080/15567036.2011.582610     Document Type: Article

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