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Computational Geosciences

, Volume 19, Issue 2, pp 389–401 | Cite as

A novel method for NMR data compression

  • Youlong Zou
  • Ranhong Xie
ORIGINAL PAPER

Abstract

Nuclear magnetic resonance (NMR) technique has been widely used to reservoir evaluation and core analysis in oil industry. Rapid and stable inversion of NMR data is very important for NMR logging application. A rapid data compression method with high compression ratio can effectively improve the inversion speed of NMR data. This paper compared and analyzed the window averaging (WA) and singular value decomposition (SVD) methods for NMR data compression. The numerical results show that the WA method has the features of low compression ratio, low computational complexity, and less time-consuming; the SVD method has the features of high compression ratio, large amount of calculation, and more time-consuming. Combining the advantages of these two compression methods, this paper proposed a novel compression method which had achieved good application effects in NMR data compression. The novel method can not only ensure the high compression ratio, but also effectively reduces the time-consuming and possesses more prominent advantages in multi-dimensional NMR data compression.

Keywords

NMR logging Data compression Window averaging method Singular value decomposition method Joint compression method 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.State Key Laboratory of Petroleum Resources and ProspectingChina University of PetroleumBeijingChina

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