TY  - CONF
TI  - Forward modeling of seabed logging with controlled source electromagnetic method using multilayer perceptron
Y1  - 2010///
AV  - none
N1  - cited By 3; Conference of 2010 IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2010 ; Conference Date: 9 November 2010 Through 11 November 2010; Conference Code:84329
SN  - 9781424485666
A1  - Arif, A.
A1  - Asirvadam, V.S.
A1  - Karsiti, M.N.
KW  - Artificial Neural Network; Controlled source; Data sets; Electromagnetic methods; Forward modeling; Hidden layers; Hydrocarbon layers; Input layers; Multi-physics; Multilayer perceptron; Output layer; Performance comparison; Sea floor; Seabed logging; Simulation software
KW  -  Computer software; Data handling; Electromagnetism; Hydrocarbon refining; Hydrocarbons; Multilayers; Neural networks; Wireless sensor networks
KW  -  Electromagnetic logging
CY  - Port Dickson
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953048315&doi=10.1109%2fAPACE.2010.5720090&partnerID=40&md5=353fe62768963a29c26da0b61a34a2a7
ID  - scholars882
N2  - 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. © 2010 IEEE.
ER  -