Kniha Artificial Intelligence Techniques in Reservoir Characterization Ahmed Adeniran

Artificial Intelligence Techniques in Reservoir Characterization

Functional networks softsensor for formation porosity and water saturation in oil Wells

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: VDM Verlag
Dostupnost: U nakladatele na objednávku
Odesíláme za 17-27 dnů
1 407
One of the major objectives of the petroleum industry is to obtain an accurate estimate of initial h...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2010
Stránek
156
EAN
9783639244267
ISBN
3639244265
Enbook ID
06832035
Vydavatel
Hmotnost
236
Rozměry
152 x 229 x 9

Kompletní popis

One of the major objectives of the petroleum industry is to obtain an accurate estimate of initial hydrocarbon in place before investing in development and production.Porosity, permeability and fluid saturation are the key variables for characterizing a reservoir in order to estimate the volume of hydrocarbons and their flow patterns to optimize the production of a field. Many empirical equations are available to transform well log data to predict these properties. Researchers have utilized Artificial neural networks, particularly feed forward back propagation neural networks (FFNN), to develop more accurate predictions. Unfortunately, the developed FFNN correlations have some drawbacks, and as a result several improvements have been proposed. Our efforts is directed towards investigating the suitability of some of the recently proposed advances in neural networks technique including, functional networks (FN),cascaded correlation neural networks, polynomial networks, and general regression neural networks for predicting porosity and water saturation from well logs. We compared the performance of these techniques with standard FFNN as well as the empirical correlation models.

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