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Forward modeling of seabed logging with controlled source electromagnetic method using multilayer perceptron

Arif, Agus and Asirvadam, Vijanth S. and Karsiti, M. N. (2010) Forward modeling of seabed logging with controlled source electromagnetic method using multilayer perceptron. In: Applied Electromagnetics (APACE), 2010 IEEE Asia-Pacific Conference on.

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Abstract

Forward modeling is an important step in processing data of seabed logging (SBL) with controlled source electromagnetic (CSEM) method to determine the location of a hydrocarbon layer under the seafloor. In this research, forward modeling was conducted using a multi layer perceptron (MLP), which is an important type of artificial neural networks. To train this MLP, a data set was generated using simulation software: COMSOL Multiphysics. The MLP designed has 3 layers with 3 neurons in input layer and 1 neuron in output layer. The single hidden layer contained neurons whose number had been varied between 3 until 15 neurons. The performance comparison showed that the MLP with 10 neurons in its hidden layer was the best to model SBL with CSEM method.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ID Code:4638
Deposited By: Dr Vijanth Sagayan Asirvadam
Deposited On:22 Nov 2012 02:55
Last Modified:19 Jan 2017 08:23

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