메뉴 건너뛰기




Volumn 32, Issue 3, 2001, Pages 215-224

Comparing classical and neural regression techniques in modeling crude oil viscosity

Author keywords

Classical regression; Crude oil viscosity; Neural networks

Indexed keywords

COMPUTATIONAL FLUID DYNAMICS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; VISCOSITY OF LIQUIDS;

EID: 0009713430     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0965-9978(00)00083-1     Document Type: Article
Times cited : (48)

References (26)
  • 1
    • 0008502173 scopus 로고
    • Viscosity of air, water, natural gas, crude oil and its associated gases at oil field temperature and pressures
    • Beal C. Viscosity of air, water, natural gas, crude oil and its associated gases at oil field temperature and pressures. Trans ATME 1946;165:114-27.
    • (1946) Trans ATME , vol.165 , pp. 114-127
    • Beal, C.1
  • 2
    • 0001834474 scopus 로고
    • Viscosity correlation for gas-saturated crude oil
    • Chew J, Connally CA. Viscosity correlation for gas-saturated crude oil. Trans ATME 1959;216:23-25.
    • (1959) Trans ATME , vol.216 , pp. 23-25
    • Chew, J.1    Connally, C.A.2
  • 3
    • 0001757457 scopus 로고
    • Estimating the viscosity of crude oil systems
    • Beggs HD, Robinson JR. Estimating the viscosity of crude oil systems. JPT 1975;9:1140-1.
    • (1975) JPT , vol.9 , pp. 1140-1141
    • Beggs, H.D.1    Robinson, J.R.2
  • 4
    • 0002083036 scopus 로고
    • Correlation fluid physical property prediction
    • Vasquez M, Beggs HD. Correlation fluid physical property prediction. JPT 1980;6:968-70.
    • (1980) JPT , vol.6 , pp. 968-970
    • Vasquez, M.1    Beggs, H.D.2
  • 5
    • 0002292335 scopus 로고
    • Generalized pressure-volume-temperature correlation for crude oil system
    • Glasø O. Generalized pressure-volume-temperature correlation for crude oil system. JPT 1980;2:785-95.
    • (1980) JPT , vol.2 , pp. 785-795
    • Glasø, O.1
  • 8
    • 84962598834 scopus 로고
    • New correlation for estimating the viscosity of undersaturated crude oils
    • Abdul-Majeed GH, Kattan RR, Salman NH. New correlation for estimating the viscosity of undersaturated crude oils. J Can Pet Technol 1990;29(3):80-85.
    • (1990) J Can Pet Technol , vol.29 , Issue.3 , pp. 80-85
    • Abdul-Majeed, G.H.1    Kattan, R.R.2    Salman, N.H.3
  • 9
    • 0026931398 scopus 로고
    • Improved correlations for predicting the viscosity of light crudes
    • Labedi R. Improved correlations for predicting the viscosity of light crudes. J Pet Sci Engng 1992;8:221-34.
    • (1992) J Pet Sci Engng , vol.8 , pp. 221-234
    • Labedi, R.1
  • 10
    • 0028764322 scopus 로고
    • Large data bank improves crude physical property correlation
    • Kartoatmodjo F, Schmidt Z. Large data bank improves crude physical property correlation. Oil Gas J 1994;4:51-55.
    • (1994) Oil Gas J , vol.4 , pp. 51-55
    • Kartoatmodjo, F.1    Schmidt, Z.2
  • 11
    • 0032637237 scopus 로고    scopus 로고
    • Models for predicting the viscosity of middle east crude oils
    • Elsharkawy AM. Models for predicting the viscosity of Middle East crude oils. Fuel 1999;78:891-903.
    • (1999) Fuel , vol.78 , pp. 891-903
    • Elsharkawy, A.M.1
  • 12
    • 0025387722 scopus 로고
    • Evaluation of empirically derived PVT properties for Gulf of Mexico crudes
    • Sutton RP, Farshad FF. Evaluation of empirically derived PVT properties for Gulf of Mexico crudes. SPE Res Engng 1990;2:79-86.
    • (1990) SPE Res Engng , vol.2 , pp. 79-86
    • Sutton, R.P.1    Farshad, F.F.2
  • 13
    • 0001159205 scopus 로고
    • Calculating viscosities of reservoir fluids from their composition
    • Lohrenz J, Bray BC, Clark CR. Calculating viscosities of reservoir fluids from their composition. JPT 1964;10:1170-6.
    • (1964) JPT , vol.10 , pp. 1170-1176
    • Lohrenz, J.1    Bray, B.C.2    Clark, C.R.3
  • 14
    • 0001999574 scopus 로고
    • Calculating the viscosity of hydrocarbon systems with pressure temperature and composition
    • Little JE, Kennedy HT. Calculating the viscosity of hydrocarbon systems with pressure temperature and composition. Soc Pet Engng J 1968;6:157-62.
    • (1968) Soc Pet Engng J , vol.6 , pp. 157-162
    • Little, J.E.1    Kennedy, H.T.2
  • 15
    • 0032876164 scopus 로고    scopus 로고
    • Neural network model for estimating the PVT properties of middle east crude oils
    • Gharbi RB, Elsharkawy AM. Neural network model for estimating the PVT properties of middle east crude oils. SPE Reser Engng 1999;2(3):255-65.
    • (1999) SPE Reser Engng , vol.2 , Issue.3 , pp. 255-265
    • Gharbi, R.B.1    Elsharkawy, A.M.2
  • 16
    • 0033097846 scopus 로고    scopus 로고
    • Universal neural network based models for estimating the PVT properties of crude oil systems
    • Gharbi R, Elsharkawy A. Universal neural network based models for estimating the PVT properties of crude oil systems. Energy Fuel 1999;13:454-8.
    • (1999) Energy Fuel , vol.13 , pp. 454-458
    • Gharbi, R.1    Elsharkawy, A.2
  • 17
    • 0000034327 scopus 로고    scopus 로고
    • Estimating the isothermal compressibility coefficient of undersaturated middle east crudes using neural networks
    • Gharbi R. Estimating the isothermal compressibility coefficient of undersaturated Middle East crudes using neural networks. Energy Fuel 1997;11(2):372-8.
    • (1997) Energy Fuel , vol.11 , Issue.2 , pp. 372-378
    • Gharbi, R.1
  • 18
    • 0032306845 scopus 로고    scopus 로고
    • Modeling the properties of crude oil and gas systems using RBF network
    • Paper SPE 49961, Perth, Australia, 12-14 October
    • Elsharkawy AM. Modeling the properties of crude oil and gas systems using RBF network. Paper SPE 49961, presented at the SPE South Asia and Pacific, Perth, Australia, 12-14 October, 1998.
    • (1998) SPE South Asia and Pacific
    • Elsharkawy, A.M.1
  • 19
    • 0032014465 scopus 로고    scopus 로고
    • EOS simulation and GRNN modeling of the constant volume depletion behavior of gas condensate reservoirs
    • Elsharkawy AM, Foda SG. EOS simulation and GRNN modeling of the constant volume depletion behavior of gas condensate reservoirs. Energy Fuel 1998;12(2):353-64.
    • (1998) Energy Fuel , vol.12 , Issue.2 , pp. 353-364
    • Elsharkawy, A.M.1    Foda, S.G.2
  • 21
    • 0001473437 scopus 로고
    • On estimation of a probability density function and mode
    • Parzen E. On estimation of a probability density function and mode. Ann Math Statist 1962;33:1065-76.
    • (1962) Ann Math Statist , vol.33 , pp. 1065-1076
    • Parzen, E.1
  • 22
    • 0343171028 scopus 로고
    • Estimation of a multivariable density
    • Cacoullos T. Estimation of a multivariable density. Ann Inst Statist Math (Tokyo) 1966;18(2):179-89.
    • (1966) Ann Inst Statist Math (Tokyo) , vol.18 , Issue.2 , pp. 179-189
    • Cacoullos, T.1
  • 23
    • 0025206332 scopus 로고
    • Probabilistic neural networks
    • Specht DE. Probabilistic neural networks. IEEE Trans Neural Networks 1990;3(1):109-18.
    • (1990) IEEE Trans Neural Networks , vol.3 , Issue.1 , pp. 109-118
    • Specht, D.E.1
  • 24
    • 0026254768 scopus 로고
    • A general regression neural network
    • Specht DF. A general regression neural network. IEEE Trans Neural Networks 1991;2(6):568-76.
    • (1991) IEEE Trans Neural Networks , vol.2 , Issue.6 , pp. 568-576
    • Specht, D.F.1
  • 25
    • 0026374269 scopus 로고
    • Generalization accuracy of probabilistic neural networks compared with backpropagation networks
    • Seattle, WA
    • Specht DF, Shapiro PD. Generalization accuracy of probabilistic neural networks compared with backpropagation networks. Proceedings of the International Joint Conference on Neural Networks, Seattle, WA, vol. 7, 1991. p. 887-92.
    • (1991) Proceedings of the International Joint Conference on Neural Networks , vol.7 , pp. 887-892
    • Specht, D.F.1    Shapiro, P.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.