B. Yeten et F. Gumrah, The use of fractal geostatistics and artificial neural networks for carbonate reservoir characterization, TRANS POR M, 41(2), 2000, pp. 173-195
In this study, a carbonate oil reservoir located in the southeast part of T
urkey was characterized by the use of kriging and the fractal geometry. The
three-dimensional porosity and permeability distributions were generated b
y both aforementioned methods by using the wireline porosity logs and core
plug permeability measurements taken from six wells of the field. Since cla
ssical regression (lognormal or polynomial) and geostatistical techniques (
cross variograms) fail to estimate permeability from wireline log-porosity
data, the use of artificial neural networks (ANNs) is proposed in this stud
y to generate permeability data at uncored intervals of porosity logs. For
both of the methods, kriging and fractal techniques, the validation of the
estimated/simulated data with known wellbore data resulted with acceptable
agreements, especially for porosity. Also the comparison of both methods at
unsampled locations show better agreements for porosity than permeability.