Optimizing reservoir features in oil exploration management based on fusion of soft computing

Applied Soft Computing Journal

Volumn 11, Issue 1, 2011, Pages 1144-1155

  Haixiang, Guo ^a,b   Xiuwu, Liao ^a   Kejun, Zhu ^b   Chang, Ding ^b   Yanhui, Gao ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

FCM; Feature selection; Soft computing; Well log features

Indexed keywords

BP NEURAL NETWORKS; CATEGORIZING FRAMEWORKS; CLASSIFICATION AND CLUSTERING; DATA MINING TASKS; EVALUATION CRITERIA; FCM; FEATURE SELECTION; FEATURE SELECTION ALGORITHM; FORECASTING MODELS; FUSION MODEL; FUZZY C-MEANS ALGORITHMS; HIDDEN LAYERS; KEY FEATURE; OIL EXPLORATION; OPTIMAL MODEL; OPTIMAL NUMBER; OPTIMAL STRUCTURES; RECOGNITION ACCURACY; SEARCH STRATEGIES; SOFT COMPUTING METHODS; TEST EFFECTIVENESS; TESTING SAMPLES;

BEARINGS (STRUCTURAL); COPYING; DATA MINING; FEATURE EXTRACTION; FILTRATION; FORECASTING; FUZZY CLUSTERING; GENETIC ALGORITHMS; NEURAL NETWORKS; OIL BEARING FORMATIONS; OIL WELL LOGGING; OIL WELLS; PETROLEUM RESERVOIR ENGINEERING; RESERVOIR MANAGEMENT; SOFT COMPUTING; STRUCTURAL OPTIMIZATION;

CLUSTERING ALGORITHMS;

EID: 77957900643     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.02.014     Document Type: Article

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