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Volumn 37, Issue 6, 2010, Pages 737-742

A quantitative mathematic model for polymer flooding water-cut variation

Author keywords

Influential factor; Particle swarm optimization algorithm; Polymer flooding; Support vector machine; Water cut

Indexed keywords

CHARACTERISTIC PARAMETER; DYNAMIC FEATURES; INFLUENTIAL FACTORS; INITIAL TIME; MATHEMATIC MODEL; MULTI FACTORS; ORTHOGONAL EXPERIMENTAL DESIGN; PARTICLE SWARM OPTIMIZATION ALGORITHM; POLYMER FLOODING; PORE VOLUME; PREDICTION MODEL; QUANTITATIVE CHARACTERIZATION; REGRESSION METHOD; RESERVOIR NUMERICAL SIMULATION;

EID: 78650498023     PISSN: 10000747     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (11)

References (16)
  • 1
    • 78650429021 scopus 로고    scopus 로고
    • Predicting model of water cut by polymer flooding based on three-layer forward neural network
    • Shan Liantao, Zhang Xiaodong, Zhu Guifang. Predicting model of water cut by polymer flooding based on three-layer forward neural network[J]. Petroleum Geology and Recovery Efficiency, 2007, 14(5): 56-58, 65.
    • (2007) Petroleum Geology and Recovery Efficiency , vol.14 , Issue.5 , pp. 56-58
    • Shan, L.1    Zhang, X.2    Zhu, G.3
  • 2
    • 67649575092 scopus 로고    scopus 로고
    • The response and effecting factors of polymer flooding in Unit 1 of Central Gudao oilfield
    • Cai Yanjie, Zhao Jinliang, Guan Yue. The response and effecting factors of polymer flooding in Unit 1 of Central Gudao oilfield[J]. Petroleum Exploration and Development, 2000, 27(6): 63-64.
    • (2000) Petroleum Exploration and Development , vol.27 , Issue.6 , pp. 63-64
    • Cai, Y.1    Zhao, J.2    Guan, Y.3
  • 3
    • 78650487167 scopus 로고    scopus 로고
    • Model for predicting the value and time corresponding to the minimal water cut for polymer flooding
    • Zhang Jicheng, Song Kaoping, Zhang Shougen, et al. Model for predicting the value and time corresponding to the minimal water cut for polymer flooding[J]. Journal of Daqing Petroleum Institute, 2003, 27(3): 103-104.
    • (2003) Journal of Daqing Petroleum Institute , vol.27 , Issue.3 , pp. 103-104
    • Zhang, J.1    Song, K.2    Zhang, S.3
  • 4
    • 0036759304 scopus 로고    scopus 로고
    • Predicting the water content ratio and the improved recoverable reserves under polymer flooding
    • Lu Hongjiang, Feng Wenguang, Haefner F. Predicting the water content ratio and the improved recoverable reserves under polymer flooding[J]. Journal of Mineralogy and Petrology, 2002, 22(3): 76-78.
    • (2002) Journal of Mineralogy and Petrology , vol.22 , Issue.3 , pp. 76-78
    • Lu, H.1    Feng, W.2    Haefner, F.3
  • 5
    • 40049101136 scopus 로고    scopus 로고
    • Neural network method for prediction of water cut in polymer flooding
    • Zhao Guozhong, Meng Shuguang, Jiang Xiangcheng. Neural network method for prediction of water cut in polymer flooding[J]. Acta Petrolei Sinica, 2004, 25(1): 70-73.
    • (2004) Acta Petrolei Sinica , vol.25 , Issue.1 , pp. 70-73
    • Zhao, G.1    Meng, S.2    Jiang, X.3
  • 6
    • 48549102401 scopus 로고    scopus 로고
    • Quantitative characterization of polymer flooding production performance in different reservoirs of Shengli Oilfield
    • Hou Jian, Guo Lanlei, Yuan Fuqing, et al. Quantitative characterization of polymer flooding production performance in different reservoirs of Shengli Oilfield[J]. Acta Petrolei Sinica, 2008, 29(4): 577-581.
    • (2008) Acta Petrolei Sinica , vol.29 , Issue.4 , pp. 577-581
    • Hou, J.1    Guo, L.2    Yuan, F.3
  • 7
    • 48549093771 scopus 로고    scopus 로고
    • Application of generalized Weng's model and Rayleigh model in oil production prediction of polymer flooding
    • Sun Qiang, Deng Bing, Ma Limei. Application of generalized Weng's model and Rayleigh model in oil production prediction of polymer flooding[J]. Petroleum Geology & Oilfield Development in Daqing, 2003, 22(5): 58-59.
    • (2003) Petroleum Geology & Oilfield Development in Daqing , vol.22 , Issue.5 , pp. 58-59
    • Sun, Q.1    Deng, B.2    Ma, L.3
  • 9
    • 3142768423 scopus 로고    scopus 로고
    • Self-organizing hierarchical particle swarm optimization with time-varying acceleration coefficients
    • Ratnaweera A, Malamute S. Self-organizing hierarchical particle swarm optimization with time-varying acceleration coefficients[J]. IEEE Trans. Evolutionary Computation, 2004, 8(3): 240-255.
    • (2004) IEEE Trans. Evolutionary Computation , vol.8 , Issue.3 , pp. 240-255
    • Ratnaweera, A.1    Malamute, S.2
  • 10
    • 0036620619 scopus 로고    scopus 로고
    • Solution for production model by adaptive real-coded genetic algorithm
    • Hou Jian, Qu Changxue, Chen Yueming, et al. Solution for production model by adaptive real-coded genetic algorithm[J]. Journal of the University of Petroleum, 2002, 26(3): 55-58.
    • (2002) Journal of the University of Petroleum , vol.26 , Issue.3 , pp. 55-58
    • Hou, J.1    Qu, C.2    Chen, Y.3
  • 11
    • 48549087269 scopus 로고    scopus 로고
    • Study on the sensitive parameters influencing oil increment performance for polymer flooding
    • Hou Jian, Zhao Hui, Du Qingjun. Study on the sensitive parameters influencing oil increment performance for polymer flooding[J]. Journal of Oil and Gas Technology, 2007, 29(1): 118-121.
    • (2007) Journal of Oil and Gas Technology , vol.29 , Issue.1 , pp. 118-121
    • Hou, J.1    Zhao, H.2    Du, Q.3
  • 14
    • 78650499986 scopus 로고    scopus 로고
    • Supportive vector machine and its application in oil fields
    • Li Zhuo, Liu Bin, Liu Tienan, et al. Supportive vector machine and its application in oil fields[J]. Journal of Daqing Petroleum Institute, 2005, 29(3): 77-79, 82.
    • (2005) Journal of Daqing Petroleum Institute , vol.29 , Issue.3
    • Li, Z.1    Liu, B.2    Liu, T.3
  • 15
    • 54049141322 scopus 로고    scopus 로고
    • Superiorities of support vector machine in fracture prediction and gassiness evaluation
    • Shi Guangren. Superiorities of support vector machine in fracture prediction and gassiness evaluation[J]. Petroleum Exploration and Development, 2008, 35(5): 588-594.
    • (2008) Petroleum Exploration and Development , vol.35 , Issue.5 , pp. 588-594
    • Shi, G.1
  • 16
    • 34047248227 scopus 로고    scopus 로고
    • Effect prediction of in-situ combustion based on support vector machine
    • Yuan Shibao, Jiang Haiyan, Bao Bingsheng, et al. Effect prediction of in-situ combustion based on support vector machine[J]. Petroleum Exploration and Development, 2007, 34(1): 104-107.
    • (2007) Petroleum Exploration and Development , vol.34 , Issue.1 , pp. 104-107
    • Yuan, S.1    Jiang, H.2    Bao, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.