Title :
Lithology classification using self-organising map
Author :
Che Fung, Chun ; Wai Wong, Kok ; Eren, Halit ; Charlebois, Robert
Author_Institution :
Sch. of Electr. & Comput. Eng., Curtin Univ. of Technol., Bentley, WA, Australia
Abstract :
This paper reports the application of Kohonen´s self-organising map (SOM) network to the classification of lithology from well log data. The well log data are classified into nodes according to a pre-defined grid arrangement. The learning vector quantization (LVQ) algorithm is then applied to train the network under supervised learning. After the network is trained, it is used as the classification model for subsequent data. Results obtained from example studies using this proposed method have shown to be fast and accurate
Keywords :
geology; geophysical prospecting; geophysical signal processing; pattern classification; self-organising feature maps; vector quantisation; LVQ; VQ; learning vector quantization; lithology classification; self-organising map; supervised learning; well log data; Application software; Artificial neural networks; Australia; Computer networks; Data engineering; Data processing; Instruments; Reservoirs; Supervised learning; Testing; Vector quantization; Well logging;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.488233
