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Volumn 18, Issue 5, 2005, Pages 549-558

Applications of data analysis techniques for oil production prediction

Author keywords

Decline curve estimation; Neural networks; Oil production prediction

Indexed keywords

CURVE FITTING; DATA REDUCTION; DECISION SUPPORT SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PETROLEUM RESERVOIRS;

EID: 18144367761     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2004.11.010     Document Type: Article
Times cited : (15)

References (12)
  • 2
    • 0031683256 scopus 로고    scopus 로고
    • Using an analytical decline model to characterize naturally fractured reservoirs
    • Tulsa, Oklahoma, 19-22 April 1998 (SPE 39623)
    • Baker, R.O., Spenceley, N.K., Guo, B., Schechter, D.S., 1998. Using an analytical decline model to characterize naturally fractured reservoirs. SPE/DOE Improve Oil Recovery Symposium, Tulsa, Oklahoma, 19-22 April 1998 (SPE 39623).
    • (1998) SPE/DOE Improve Oil Recovery Symposium
    • Baker, R.O.1    Spenceley, N.K.2    Guo, B.3    Schechter, D.S.4
  • 5
    • 0033097846 scopus 로고    scopus 로고
    • Universal neural-network-based model for estimating the PVT properties of crude oil systems
    • R.B. Gharbi, A.M. Elsharkawy, and M. Karkoub Universal neural-network-based model for estimating the PVT properties of crude oil systems Energy & Fuels 13 1999 454 458
    • (1999) Energy & Fuels , vol.13 , pp. 454-458
    • Gharbi, R.B.1    Elsharkawy, A.M.2    Karkoub, M.3
  • 6
    • 0031410704 scopus 로고    scopus 로고
    • Determination of porosity and permeability in reservoir Intervals by artificial neural network modeling, offshore eastern Canada
    • Z. Huang, and M.A. William Determination of porosity and permeability in reservoir Intervals by artificial neural network modeling, offshore eastern Canada Petroleum Geoscience 3 3 1997 245 258
    • (1997) Petroleum Geoscience , vol.3 , Issue.3 , pp. 245-258
    • Huang, Z.1    William, M.A.2
  • 7
  • 12
    • 0029412974 scopus 로고
    • Use of neural network methods to predict porosity and permeability of a petroleum reservoir
    • P.M. Wong, and I.J. Taggart Use of neural network methods to predict porosity and permeability of a petroleum reservoir AI Appl. 9 2 1995 27 37
    • (1995) AI Appl. , vol.9 , Issue.2 , pp. 27-37
    • Wong, P.M.1    Taggart, I.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.