Reservoir Characterization Using Support Vector Machines
Wong, Kok Wai; Ong, Yew Soon; Gedeon, Tamas (Tom); Fung, Chun Che
Description
Reservoir characterization especially well log data analysis plays an important role in petroleum exploration. This is the process used to identify the potential for oil production at a given source. In recent years, support vector machines (SVMs) have gained much attention as a result of its strong theoretical background. SVM is based on statistical learning theory known as the Vapnik-Chervonenkis theory. The theory has a strong mathematical foundation for dependencies estimation and...[Show more]
Collections | ANU Research Publications |
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Date published: | 2005 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/33891 |
Source: | Proceedings of International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce |
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01_Wong_Reservoir_Characterization_2005.pdf | 141.15 kB | Adobe PDF | Request a copy |
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