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Volumn 30, Issue 2, 1999, Pages 45-49

Application of neural networks to identify lithofacies from well logs

Author keywords

Formation; Identification; Lithofacies; Neural Network; Well Logs

Indexed keywords


EID: 85009414624     PISSN: 08123985     EISSN: 18347533     Source Type: Journal    
DOI: 10.1071/EG999045     Document Type: Article
Times cited : (15)

References (12)
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  • 4
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    • Automatic well log correlation using neural networks
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  • 5
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    • Permeability Prediction with Artificial Neural Network Modelling in the Venture Gas Field, Offshore Eastern Canada
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    • Huang, Z.1    Shimeld, J.2    Williamson, M.3    Katsube, J.4
  • 6
    • 84922959627 scopus 로고
    • Lithofacies Sequence Recognition from Well Logs Using Time-delay Neural Networks: Paper L
    • June 14-17, 1992, Oklahoma City, Oklahoma
    • Liu R. L., Zhou C. D., and Jin Z. W., 1992, Lithofacies Sequence Recognition from Well Logs Using Time-delay Neural Networks: Paper L, SPWLA 33rd Annual Logging Symposium, June 14-17, 1992, Oklahoma City, Oklahoma
    • (1992) SPWLA 33Rd Annual Logging Symposium
    • Liu, R.L.1    Zhou, C.D.2    Jin, Z.W.3
  • 7
    • 85059362412 scopus 로고
    • Predicting lithology from Vp and Vs using neural networks: In 1992 technical program expanded abstracts with biographies
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    • Lorenzetti, E.A.1
  • 8
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    • Well-log correlation using a back-propagation neural network
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    • Luthi, S.M.1    Bryant, I.D.2
  • 9
    • 0002254762 scopus 로고
    • Neural Computing in Geophysics
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  • 11
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    • Pattern Recognition with Neural Networks in C++: CRC Press
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    • Pandta, A.S.1    Macy, R.B.2
  • 12
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    • Application of Neural Networks to the Evaluation of Reservoir Quality in a Lithologically Complex formation
    • Zhang Y. and Salisch H. A., 1998, Application of Neural Networks to the Evaluation of Reservoir Quality in a Lithologically Complex formation: The APPEA Journal 38, Part 1, 776-784.
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    • Zhang, Y.1    Salisch, H.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.