A hybrid stochastic-gradient optimization to estimating total organic carbon from petrophysical data: A case study from the Ahwaz oilfield, SW Iran
Created by W.Langdon from
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- @Article{Tabatabaei:2015:JPSE,
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author = "Seyed Mohammad Ehsan Tabatabaei and
Ali Kadkhodaie-Ilkhchi and Ziba Hosseini and
Asghar Asghari Moghaddam",
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title = "A hybrid stochastic-gradient optimization to
estimating total organic carbon from petrophysical
data: A case study from the {Ahwaz} oilfield, {SW
Iran}",
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journal = "Journal of Petroleum Science and Engineering",
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year = "2015",
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volume = "127",
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pages = "35--43",
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month = mar,
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keywords = "genetic algorithms, genetic programming, total organic
carbon (TOC), petrophysical logs, ACOR-BP, GA-BP, the
Ahwaz oilfield",
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ISSN = "0920-4105",
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DOI = "doi:10.1016/j.petrol.2015.01.028",
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URL = "http://www.sciencedirect.com/science/article/pii/S0920410515000297",
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abstract = "One of the most important geochemical data in
petroleum exploration is total organic carbon (TOC)
which is used to evaluate the hydrocarbon generation
potential of source rocks. To measure this parameter,
expensive and time-consuming geochemical experiments
are carried out on few cutting or core samples. In this
study, stochastic optimisation algorithms (ant colony
and genetic programming) were hybridised with gradient
optimisation in a back propagation neural network
structure to estimate TOC from petrophysical logs. The
methodology is illustrated by using a case study from
four wells of the Ahwaz oilfield. The results show that
the hybrid ant colony-back propagation neural network
model (ACOR-BP) provides better results compared to the
other intelligent models used. MSE and R2 of the
ACOR-BP model in testing samples are 0.0051 and 0.952,
respectively. This level of accuracy along with the
fast speed of the algorithm is highly desirable for the
estimation of the TOC parameter. The findings of this
research demonstrate that employing ant colony
optimization to initialise weights and biases of neural
networks minimises or avoids the risk of getting stuck
in local minima. The methodology introduced in this
study has a good performance and can be used to
synthesise geochemical logs for the other wells of the
Ahwaz oilfield.",
- }
Genetic Programming entries for
Seyed Mohammad Ehsan Tabatabaei
Ali Kadkhodaie-Ilkhchi
Ziba Hosseini
Asghar Asghari Moghaddam
Citations