Integrating genetic algorithm and support vector machine for polymer flooding production performance prediction

Journal of Petroleum Science and Engineering

Volumn 68, Issue 1-2, 2009, Pages 29-39

  Hou, Jian ^a   Li, Zhen quan ^b   Cao, Xu long ^b   Song, Xin wang ^b  

^a CHINA UNIVERSITY OF PETROLEUM   (China)

^b SINOPEC   (China)

Author keywords

enhanced oil recovery; genetic algorithm; polymer flooding; prediction model; production performance; support vector machine

Indexed keywords

CHARACTERISTIC PARAMETER; DYNAMIC ADJUSTMENT; EFFECT OF FACTORS; ENGINEERING COMPUTATION; ENHANCED OIL RECOVERY; FIELD DATA; HISTORY MATCHING; MATHEMATIC MODEL; NUMERICAL SIMULATION; ORTHOGONAL DESIGN; PHYSICAL MEANINGS; POLYMER FLOODING; PREDICTION MODEL; PRODUCTION PERFORMANCE; PRODUCTION PERFORMANCE PREDICTION; QUANTITATIVE CHARACTERIZATION; QUANTITATIVE PREDICTION; REAL-CODED GENETIC ALGORITHM; SAMPLE SETS; SHENGLI OILFIELD; SOLUTION METHODS;

ENHANCED RECOVERY; GENETIC ALGORITHMS; IMAGE RETRIEVAL; MACHINE DESIGN; MATHEMATICAL MODELS; MODELS; NUMERICAL METHODS; OIL FIELDS; PETROLEUM RESERVOIRS; SUPPORT VECTOR MACHINES; VECTORS;

POLYMERS;

ENHANCED OIL RECOVERY; FLOODING; GENETIC ALGORITHM; NUMERICAL MODEL; OIL FIELD; POLYMER; PREDICTION; QUANTITATIVE ANALYSIS;

EID: 67651100960     PISSN: 09204105     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.petrol.2009.05.017     Document Type: Article

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