Evolving new strategies to estimate reservoir oil formation volume factor: Smart modeling and correlation development
Created by W.Langdon from
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- @Article{SAGHAFI:2019:JPSE,
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author = "Hamid Reza Saghafi and Alireza Rostami and
Milad Arabloo",
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title = "Evolving new strategies to estimate reservoir oil
formation volume factor: Smart modeling and correlation
development",
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journal = "Journal of Petroleum Science and Engineering",
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volume = "181",
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pages = "106180",
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year = "2019",
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ISSN = "0920-4105",
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DOI = "doi:10.1016/j.petrol.2019.06.044",
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URL = "http://www.sciencedirect.com/science/article/pii/S0920410519305935",
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keywords = "genetic algorithms, genetic programming, Oil formation
volume factor, Adaptive network-based fuzzy inference
system, PVT data",
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abstract = "The precise estimation of oilfield PVT properties is
of primary importance for improving field evaluation
and development strategies. In the present work,
adaptive network-based fuzzy inference system (ANFIS)
and genetic programming (GP) models were established
for the accurate assessment of reservoir oil formation
volume factor (OFVF). A large database including nearly
1200 datapoints from all over the globe was collected
for modeling. The performance of the new models was
compared to correlations in the existing literature via
several graphical and statistical paradigms. Variance
approach analysis was implemented to determine the
sensitivity of the target parameter as the output with
respect to each input variable. It is shown that the
highest forecasting accuracy is attained using the
developed ANFIS model and GP-based empirical
correlation with an average absolute relative deviation
(AARDpercent) of 1.8percent and 2.1percent,
respectively, in comparison to the results obtained
from other approaches described in the literature.
Lastly, the mathematical techniques designed for
estimating OFVF can be of high importance for experts
working with reservoir simulation and PVT analysis",
- }
Genetic Programming entries for
Hamid Reza Saghafi
Ali Reza Rezghi Rostami
Milad Arabloo
Citations