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A self-generating fuzzy rules inference system for petrophysical properties prediction

Fung, C.C.ORCID: 0000-0001-5182-3558, Wong, K.W. and Wong, P.M. (1998) A self-generating fuzzy rules inference system for petrophysical properties prediction. In: Proceedings of the 1997 IEEE International Conference on Intelligent Processing Systems, ICIPS'97, 28 - 31 October, 1997, Beijing, China pp. 205-208.

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Link to Published Version: http://dx.doi.org/10.1109/ICIPS.1997.672766
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Abstract

This paper discusses the application of a self-generating fuzzy rule extraction and inference system for the prediction of petrophysical properties from well log data. A set of core data with known characteristics is first selected as the training samples. Fuzzy rules are then extracted and undergo a process of rule elimination. The reduced rule set forms the rule-base of the fuzzy prediction model. This will be used to predict properties of other depths within or around the well. Results based on a test case for the prediction of porosity is reported and the performance of the system is discussed.

Item Type: Conference Paper
Publisher: IEEE
Copyright: © IEEE 1998
URI: http://researchrepository.murdoch.edu.au/id/eprint/15064
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