Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9826571 | Journal of Petroleum Science and Engineering | 2005 | 10 Pages |
Abstract
An evolution of intelligent detection methods applied in the oil industry, using geological and geophysical data will be given. The most challenging problems of exploration and production may require application of advanced technologies. Our focus in this paper will be to highlight applications of soft computing and artificial intelligence. Specifically, the strength and weakness of human intelligence versus machine intelligence and the need for combining human and machine intelligence is visited. The role soft computing methods (neural networks, fuzzy logic and evolutionary computing) that can play in establishing “hybrid” intelligence for addressing E&P problems is emphasized.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Economic Geology
Authors
Fred Aminzadeh,