TY - GEN
T1 - Particle swarm optimization in multilayer perceptron learning for well log data inversion
AU - Huang, Kou-Yuan
AU - Shen, Liang Chi
AU - Chen, Kai Ju
AU - Huang, Ming Che
N1 - Publisher Copyright:
© 2012 SEG.
PY - 2012
Y1 - 2012
N2 - We adopt the multilayer perceptron (MLP) to approximate the nonlinear input-output mapping and propose the use of particle swarm optimization with mutation (MPSO) algorithm to adjust the weights in MLP. In the supervised training step, the input of the network is the apparent conductivity (Ca) and the desired output is the true formation conductivity (Ct). MLP with optimal size 10-9-10 is chosen as the model. We have experiment in simulation and real data application. In simulation, there are 31 sets of simulated well log data, where 25 sets are used for training, and 6 sets are used for testing. After training the MLP network, input Ca, then Ct' can be inverted in testing process. Also we apply it to the inversion of real field well log data. The result is acceptable. It shows that the proposed MPSO algorithm in MLP weight adjustments can perform the well log data inversion.
AB - We adopt the multilayer perceptron (MLP) to approximate the nonlinear input-output mapping and propose the use of particle swarm optimization with mutation (MPSO) algorithm to adjust the weights in MLP. In the supervised training step, the input of the network is the apparent conductivity (Ca) and the desired output is the true formation conductivity (Ct). MLP with optimal size 10-9-10 is chosen as the model. We have experiment in simulation and real data application. In simulation, there are 31 sets of simulated well log data, where 25 sets are used for training, and 6 sets are used for testing. After training the MLP network, input Ca, then Ct' can be inverted in testing process. Also we apply it to the inversion of real field well log data. The result is acceptable. It shows that the proposed MPSO algorithm in MLP weight adjustments can perform the well log data inversion.
UR - http://www.scopus.com/inward/record.url?scp=85059165950&partnerID=8YFLogxK
U2 - 10.1190/segam2012-0649.1
DO - 10.1190/segam2012-0649.1
M3 - Conference contribution
AN - SCOPUS:85059165950
SN - 9781622769452
T3 - Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012
SP - 529
EP - 533
BT - Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012
PB - Society of Exploration Geophysicists
T2 - Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012
Y2 - 4 November 2012 through 9 November 2012
ER -