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Identifying oil-gas layer by minimum distance clustering | IEEE Conference Publication | IEEE Xplore

Identifying oil-gas layer by minimum distance clustering


Abstract:

This paper introduces the basic principles and steps of identifying oil-gas layers and water layers by minimum distance clustering, and establishes distinguishable model ...Show More

Abstract:

This paper introduces the basic principles and steps of identifying oil-gas layers and water layers by minimum distance clustering, and establishes distinguishable model to identify the properties of reservoir fluids by logging curves and reservoir parameters of oil-gas layers, oil-water layers, water layers and dry layers. Interpretation is done to the carboniferous' practical logging data of Tahe in Xinjiang by minimum distance clustering, and the identification results are basically consistent with the actual results. The oil-gas layers are not missed, and good interpretation results are obtained.
Date of Conference: 26-28 July 2011
Date Added to IEEE Xplore: 15 September 2011
ISBN Information:
Conference Location: Shanghai, China

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