Login| Sign Up| Help| Contact|

Patent Searching and Data


Title:
LSQR-RSVD-BASED FAST INVERSION ALGORITHM FOR TWO-DIMENSIONAL NUCLEAR MAGNETIC RESONANCE
Document Type and Number:
WIPO Patent Application WO/2020/224012
Kind Code:
A1
Abstract:
An LSQR-RSVD-based fast inversion algorithm for two-dimensional nuclear magnetic resonance, comprising: designing and generating a forward model suitable for two-dimensional nuclear magnetic inversion; setting a certain number of iterations to invert the forward model using LSQR; setting a number of dimensions of a sub-matrix of a RSVD algorithm, and using an output of LSQR as an input of the RSVD algorithm for inversion; and calculating inversion time, occupied memory and relative errors and generating a two-dimensional spectrum. The method uses the calculation result of non-negative least squares (LSQR) as an initial value of the RSVD inversion, and may significantly reduce memory requirements and speed up the inversion speed when performing two-dimensional nuclear magnetic inversion. Moreover, the method may guarantee inversion accuracy, effectively reduce the calculation time and hardware costs, and has a reasonable design and good effects.

Inventors:
LI HAITAO (CN)
HU XUFEI (CN)
DENG SHAOGUI (CN)
ZHANG FENGJIAO (CN)
HAN JUNAN (CN)
YUAN XIYONG (CN)
Application Number:
PCT/CN2019/088485
Publication Date:
November 12, 2020
Filing Date:
May 27, 2019
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
CHINA UNIV OF PETROLEUM HUADONG (CN)
International Classes:
G01R33/56
Foreign References:
CN110147520A2019-08-20
CN104375108A2015-02-25
CN108038082A2018-05-15
CN103984033A2014-08-13
US20130325408A12013-12-05
Other References:
TAN, M.J. ET AL.: "A new inversion method for (T2, D) 2D NMR logging and fluid typing", COMPUTERS & GEOSCIENCES, vol. 51, 6 August 2013 (2013-08-06), pages 366 - 380, XP055210704, DOI: 10.1016/j.cageo.2012.07.030
HU, X.F. ET AL.: "A novel efficient inversion method for three-dimensional NMR and the optimization of activation sequences and acquisition parameters", COMPUTATIONAL GEOSCIENCES, vol. 22, 22 February 2018 (2018-02-22), pages 867 - 883, XP036508710, DOI: 10.1007/s10596-018-9730-z
Attorney, Agent or Firm:
QINGDAO ZHIDILINGCHUANG PATENT AGENCY CO.,LTD (CN)
Download PDF: