Plenary Address - II
Integrated Soft Computing for Petroleum Engineering
School of Information Technology, Murdoch University,
South St, Murdoch 6150, Australia
Abstract
Soft computing techniques such as neural networks, fuzzy logic and genetic algorithms have achieved success in a number of applications. The complementary nature of many of these techniques lend themselves naturally to integrated hybrid solutions. This talk will discuss our experience in a number of case studies using data from a number of petroleum reservoirs, using various individual and integrated hybrid architectures. Our experience allows some conclusions to be made as to selection of models. These depend on the trade-off between the degree of numerical accuracy required for the problem domain and the degree of perceived comprehensibility of the model.
Biography
Professor Tamas (Tom) D. Gedeon received the B.Sc. (Hons.) and Ph.D. degrees from The University of Western Australia, and a Graduate Diploma in Management from the Australian Graduate School of Management. He currently holds the Chair in Information Technology, is Head of the School of Information Technology and Director of the Interactive Media Institute at Murdoch University in Perth, Australia. He is the regional Editor of the International Journal of Systems Research and Information Science, and Past-President of the Asia Pacific Neural Network Assembly. His research is focused on the development of automated systems for information extraction, and for the synthesis of the extracted information into humanly useful information resources, primarily using neural network and fuzzy logic methods. Further details can be found at http://www.it.murdoch.edu.au/