A fuzzy logic approach for the estimation of facies from wire-line logs

M. M. Saggaf; Ed L. Nebrija

doi:10.1306/02260301019

journal article Jul 01, 2003

A fuzzy logic approach for the estimation of facies from wire-line logs

M. M. Saggaf Ed L. Nebrija

AAPG Bulletin Vol. 87 No. 7 pp. 1223-1240 · American Association of Petroleum Geologists AAPG/Datapages

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Abstract

Abstract
A method based on fuzzy logic inference can be used to identify lithological and depositional facies from wire-line logs. Fuzzy logic is inherently well suited to characterizing vague and imperfectly defined knowledge, a situation encountered in most geological data. It can thus yield models that are simpler and more robust than those based on crisp logic. The method is simple, easy to comprehend, and robust. It also generates several confidence measures that can be used to assess the quality of the analysis. Several enhancements, including static and dynamic constraints, are discussed. The technique is tested here by applying it to predict the depositional facies of a cored well in a marine carbonate environment and comparing the output with the facies derived from core analysis. The two show considerable agreement, which indicates that this method can be an effective means of predicting the facies of uncored wells from their logs. The method has advantages when contrasted with other techniques that rely on multivariate statistics and neural networks. Compared to those techniques, this method is simpler, easier to retrain, more reproducible, noniterative, and more computer efficient.

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References

27

[1]

Aktas "Sequence stratigraphic framework of Shu'aiba Formation, Shaybah field, Saudi Arabia: a basis for reservoir development of an Aptian carbonate ramp complex (abs.)" AAPG Annual Convention Program (1999)

[2]

Baldwin "Application of a neural network to the problem of mineral identification from well logs" The Log Analyst (1990)

[3]

Benaouda "Inferring the lithology of borehole rocks by applying neural network classifiers to downhole logs—an example from the Ocean Drilling Program" Geophysical Journal International (1999) 10.1046/j.1365-246x.1999.00746.x

[4]

Busch "Determination of lithology from well logs by statistical analysis" Society of Petroleum Engineers Formation Evaluation (1987) 10.2118/14301-pa

[5]

Cuddy, S. , 1997, The application of the mathematics of fuzzy logic to petrophysics: Transactions of the 38th Society of Professional Well Log Analysts Annual Logging Symposium, Houston., Texas, p. 1S–14S.

[6]

Delfiner "Automatic determination of lithology from well logs" Society of Petroleum Engineers Formation Evaluation (1987) 10.2118/13290-pa

[7]

Fang "Uncertainties are better handled by fuzzy arithmetic" AAPG Bulletin (1990) 10.1306/0c9b246b-1710-11d7-8645000102c1865d

[8]

Fujun "Application of fuzzy mathematics in identification of oil-bearing layers and water layers (in Chinese)" Petroleum Geology and Oilfield Development in Daqing (1997)

[9]

Imamura, S. , 1994, Integrated interpretation of exploration data in geotechnical engineering: an approach using fuzzy theory (abs.): Society of Exploration Geophysicists Annual Meeting Expanded Technical Program Abstracts, v. 64, p. 202–205. 10.1190/1.1822894

[10]

Imamura "Interpretation of exploration data using fuzzy theory (in Japanese)" Geophysical Exploration (1997)

[11]

Kapur, L., L.Lake, K.Sepehrnoori, D.Herrick, and C.Kalkomey, 1998, Facies prediction from core and log data using artificial neural network technology: Transactions of the 39th Society of Professional Well Log Analysts Annual Logging Symposium, 11 p.

[12]

Kaufmann "Fuzzy mathematical models in engineering and management science" (1988)

[13]

Klir "Fuzzy Sets and Fuzzy Logic" (1995)

[14]

Mamdani "An experiment in linguistic synthesis with a fuzzy logic controller" International Journal Man-Machine Studies (1975) 10.1016/s0020-7373(75)80002-2

[15]

Matthews "Belanak field development: new reserves from new technology" AAPG Bulletin (2000)

[16]

Qingguo "An application of statistical analysis and fuzzy pattern recognition in evaluating compound log (in Chinese)" Journal of the Jianghan Petroleum Institute (1997)

[17]

Rogers "Determination of lithology from well logs using a neural network" AAPG Bulletin (1992) 10.1306/bdff88bc-1718-11d7-8645000102c1865d

[18]

Saggaf "Estimation of lithologies and depositional facies from wire-line logs" AAPG Bulletin (2000) 10.1306/8626bf1f-173b-11d7-8645000102c1865d

[19]

Shimeld, J. W. , 1994, Development of an algorithm to detect subsurface fractures using conventional well logs and fuzzy inference: practical application at the Terra Nova oil field, offshore Newfoundland: Master's thesis, Dalhousie University, Halifax, Canada, 169 p.

[20]

Sugeno (1985)

[21]

Takagi "Fuzzy identification of systems and its application to modelling and control" Institute of Electrical and Electronics Engineers Transactions on System, Man and Cybernetics (1985)

[22]

Toumani, A., D.Schmitz, and R.Schepers, 1994, Automatic determination of lithology from well logs using fuzzy classification: 56th Meeting of the European Association of Exploration Geophysicists, paper H041. 10.3997/2214-4609.201409899

[23]

A Scale of Grade and Class Terms for Clastic Sediments

Chester K. Wentworth

The Journal of Geology 1922 10.1086/622910

[24]

Wolff, M., and J.Pelissier-Combescure, 1982, FACIOLOG: automatic electrofacies determination: Society of Professional Well Log Analysts Annual Logging Symposium, paper FF, p. 6–9.

[25]

Xuyan "The realization of fuzzy expert system in recognizing log sedimentary facies of carbonatite section of eastern Sichuan, China (in Chinese)" Journal of Chengdu Institute of Technology (1998)

[26]

Fuzzy sets

L.A. Zadeh

Information and Control 1965 10.1016/s0019-9958(65)90241-x

[27]

Zhang "Application of neural networks to identify lithofacies from well logs" Exploration Geophysics (1999) 10.1071/eg999045

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Details

Published: Jul 01, 2003
Vol/Issue: 87(7)
Pages: 1223-1240

Authors

M

M. M. Saggaf

1Saudi Arabian Oil Company, Saudi Arabia; msaggaf@alum.mit.edu

E

Ed L. Nebrija

2Saudi Arabian Oil Company, Saudi Arabia; edgardo.nebrija@aramco.com

Cite This Article

M. M. Saggaf, Ed L. Nebrija (2003). A fuzzy logic approach for the estimation of facies from wire-line logs. AAPG Bulletin, 87(7), 1223-1240. https://doi.org/10.1306/02260301019

A fuzzy logic approach for the estimation of facies from wire-line logs

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