Application of Genetic Programing technique for predicting Uniaxial Compressive Strength using reservoir formation properties
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- @Article{KOOLIVANDSALOOKI:2017:JPSE,
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author = "M. Koolivand-Salooki and M. Esfandyari and
E. Rabbani and M. Koulivand and A. Azarmehr",
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title = "Application of Genetic Programing technique for
predicting Uniaxial Compressive Strength using
reservoir formation properties",
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journal = "Journal of Petroleum Science and Engineering",
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volume = "159",
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pages = "35--48",
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year = "2017",
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keywords = "genetic algorithms, genetic programming, Uniaxial
Compressive Strength (UCS), GP, Porosity, Density,
Water saturation",
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ISSN = "0920-4105",
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DOI = "doi:10.1016/j.petrol.2017.09.032",
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URL = "http://www.sciencedirect.com/science/article/pii/S0920410517307325",
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abstract = "In this study, we developed a relationship for
Uniaxial Compressive Strength (UCS) based on total
formation porosity, bulk density and water saturation
using Genetic Programming (GP). The numerical values of
these parameters, which offered rock UCS, were obtained
by analyzing various logs including sonic, neutron,
gamma ray and electric logs. The elastic moduli were
calculated by analyzing compressional and shear sonic
logs and using mathematical correlations. The rock UCS
was then analytically calculated using the empirical
Wang and Plumb correlations (Plumb R.A. 1994). In order
to predict UCS of the formation rock using the GP
technique, approximately 5000 data points associated
with 3 different wells in one of the Iranian oil fields
were collected and analyzed. The data points associated
with one of the wells were used to structure the GP
model after being calibrated with some UCS data derived
from core analysis while the other two sets of the data
points were employed to test the accuracy of model's
predictions. The predicted UCS values using GP model
were consistent and in very good agreement with the
corresponding values calculated analytically using well
log data",
- }
Genetic Programming entries for
M Koolivand-Salooki
M Esfandyari
E Rabbani
M Koulivand
A Azarmehr
Citations