Intelligent production modeling using full field pattern recognition

SPE Reservoir Evaluation and Engineering

Volumn 14, Issue 6, 2011, Pages 735-749

  Khazaeni, Y ^a   Mohaghegh, S D ^b  

^a BOSTON UNIVERSITY   (United States)

^b WEST VIRGINIA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; FORECASTING; GEOLOGY; INFILL DRILLING; NEURAL NETWORKS; OIL WELLS; PATTERN RECOGNITION; PETROLEUM RESERVOIR ENGINEERING; PETROLEUM RESERVOIRS; PREDICTIVE ANALYTICS; WELL LOGGING;

COMMERCIAL SIMULATORS; GEOLOGICAL INFORMATION; PERFORMANCE PREDICTION MODELS; PRODUCTION DATA ANALYSIS; PRODUCTION PERFORMANCE; PRODUCTION PREDICTION; RESERVOIR CHARACTERISTIC; SPATIO-TEMPORAL DEPENDENCIES;

OIL WELL LOGGING;

ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DATA ACQUISITION; DATA SET; INFILL; MODEL VALIDATION; NUMERICAL MODEL; OIL FIELD; PATTERN RECOGNITION; PERFORMANCE ASSESSMENT; PREDICTION; RESERVOIR CHARACTERIZATION; RESERVOIR FLOODING; SPATIAL DATA; WELL; WELL LOGGING;

MIDDLE EAST;

EID: 84855643238     PISSN: 10946470     EISSN: None     Source Type: Journal    
DOI: 10.2118/132643-PA     Document Type: Article

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