A prediction approach to well logging

Authors:
Qing He;Ping Luo;Zhong-Zhi Shi;Yalei Hao;Markus Stumptner
Affiliations:
The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing;The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing;The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing;Advanced Computing Research Centre, University of South Australia, Australia;Advanced Computing Research Centre, University of South Australia, Australia
Venue:
Intelligent information processing II
Year:
2004

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Abstract

How to provide a means or organize the information used in making exploration decisions in petroleum exploration is an important task. In this paper, a machine learning method is put forward to collect experiences and estimate or prediction the absent data. The well logging experiments show that the method is efficiently and accurately.