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Jiao Cuihua, Zhang Fuming, Li Hongqi, Shao Cairui, Bai Yanbin, Zhang Juxing, Cao Feng, Wang Zhanzhong. Application of the Neural Network and Fractal Geometry in Sedimentary Environment Study from Well Logs[J]. Acta Sedimentologica Sinica, 1997, 15(3): 62-66.
Citation: Jiao Cuihua, Zhang Fuming, Li Hongqi, Shao Cairui, Bai Yanbin, Zhang Juxing, Cao Feng, Wang Zhanzhong. Application of the Neural Network and Fractal Geometry in Sedimentary Environment Study from Well Logs[J]. Acta Sedimentologica Sinica, 1997, 15(3): 62-66.

Application of the Neural Network and Fractal Geometry in Sedimentary Environment Study from Well Logs

  • Received Date: 1996-01-23
  • Publish Date: 1997-09-10
  • Making use of new mathematical methods such as artificial neural network, fractal geometry andpattern identification, following a geologist' s mode of thinking, the research to interpret microfacies fromthe log data was carried out A software of human-computer interactive interpretation was developed un-der workstation. Combined the superiority of workstation in calculating speed, human-computer interac-tive ability and drawing with the interpreter' s experience and judgement, it provided new technical meansand admirable computer assistant tools for the interpretation of microfacies from the log data. The princi-pal ideas were presented as follows.
  • [1] 林鸿溢等.分形论— 奇异性探索.北京: 北京理工大学出版社,1992, 64 ~ 72.
    [2] 周继成等.人工神经网络.北京: 科学普及出版社, 1993, 47~66.
    [3] 王寿庆.扇三角洲模式.北京: 石油工业出版社, 1993, 6 ~ 24.
    [4] Philip D W. Neural computing-Theory and practice, New Yo rk, 1989, 43 ~ 59.
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  • Received:  1996-01-23
  • Published:  1997-09-10

Application of the Neural Network and Fractal Geometry in Sedimentary Environment Study from Well Logs

Abstract: Making use of new mathematical methods such as artificial neural network, fractal geometry andpattern identification, following a geologist' s mode of thinking, the research to interpret microfacies fromthe log data was carried out A software of human-computer interactive interpretation was developed un-der workstation. Combined the superiority of workstation in calculating speed, human-computer interac-tive ability and drawing with the interpreter' s experience and judgement, it provided new technical meansand admirable computer assistant tools for the interpretation of microfacies from the log data. The princi-pal ideas were presented as follows.

Jiao Cuihua, Zhang Fuming, Li Hongqi, Shao Cairui, Bai Yanbin, Zhang Juxing, Cao Feng, Wang Zhanzhong. Application of the Neural Network and Fractal Geometry in Sedimentary Environment Study from Well Logs[J]. Acta Sedimentologica Sinica, 1997, 15(3): 62-66.
Citation: Jiao Cuihua, Zhang Fuming, Li Hongqi, Shao Cairui, Bai Yanbin, Zhang Juxing, Cao Feng, Wang Zhanzhong. Application of the Neural Network and Fractal Geometry in Sedimentary Environment Study from Well Logs[J]. Acta Sedimentologica Sinica, 1997, 15(3): 62-66.
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