Comparison between neuro-fuzzy and fractal models for permeability prediction

Computational Geosciences

Volumn 13, Issue 2, 2009, Pages 181-186

  Hurtado, Nuri ^a,b   Aldana, Milagrosa ^c   Torres, Julio ^d  

^a UNIVERSIDAD CENTRAL DE VENEZUELA   (Venezuela)

^b UNIVERSITY OF ZARAGOZA   (Spain)

^c UNIVERSIDAD SIMÓN BOLÍVAR   (Venezuela)

^d Universidad Nacional Experimental Politecnica Antonio Jose de Sucre   (Venezuela)

Author keywords

Empirical; Fractal theory; General Pape equation; Linear regretion; Neuro fuzzy; Permeability; Porosity; Prediction

Indexed keywords

EMPIRICAL; FRACTAL THEORY; GENERAL PAPE EQUATION; LINEAR REGRETION; NEURO-FUZZY; PERMEABILITY; PREDICTION;

ALGEBRA; FRACTALS; PETROLEUM REFINERIES; POROSITY;

CAPILLARITY;

COMPARATIVE STUDY; CONFERENCE PROCEEDING; CONSTITUTIVE EQUATION; FRACTAL ANALYSIS; FUZZY MATHEMATICS; LINEARITY; NUMERICAL MODEL; PERMEABILITY; POROSITY; PREDICTION; REGRESSION ANALYSIS;

LAKE MARACAIBO; SOUTH AMERICA; VENEZUELA;

EID: 67349152094     PISSN: 14200597     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10596-008-9095-9     Document Type: Conference Paper

References (10)

1. Pape, H., Clauser, C., Iffland, J.: Permeability prediction based on fractal pore-space geometry. Geophysics 64 (5), 1447-1460 (1999)
2. Finol, J., Guo, Y.K., Jing, X.D.: A rule based fuzzy model for the prediction of petrophysical rock parameters. J. Pet. Sci. Eng. 29, 97-113 (2001)
3. Balan, B., Mohaghegh, S., Ameri, S.: State-of-the-art in permeability determination from well log data, part 1: A comparative study, model development. In: Proceedings, SPE Eastern Regional Conference and Exhibition. SPE30978, pp. 1-10, Morgantown, 19-21 September 1995
4. Nelson, P.H.: Permeability-porosity relationships in sedimentary rocks. Log Anal. 35 (3), 38-62 (1994)
5. Shenhav, H.: Lower cretaceous sandstone rPservoirs, Israel: petrography, porosity, permeability. AAPG Bull. 55, 2194-2224 (1971)
6. Dandekar, A.Y.: Petroleum Reservoir Rock and Fluid Properties, vol. 488. CRC, Taylor & Francis, London (2006)
7. Pape, H., Clauser, C., Iffland, J.: Permeability-porosity relationship in sandstone based on fractal pore space geometry. Pure Appl. Geophys. 157, 603-619 (2000)
8. JAng, J.: ANFIS: adaptive network-based fuzzy inference system. IEEE Trans. Syst. Man Cybern. 23, 665-685 (1993)
9. Wong, K.W., Wong, P.M., Gedeon, T.D., Fung, C.C.: A state-of-art review of fuzzy logic for reservoir evaluation. APPEA J. 43, 587-593 (2003)
10. Finol, J., Jing, X.D.: Permeability preTiction in shaly formations: the fuzzy modelling approach. Geophysics 67 (3), 817-829 (2002)