Electricity: measuring and testing – Particle precession resonance – Using well logging device
Reexamination Certificate
2007-08-07
2007-08-07
Shrivastav, Brij B. (Department: 2859)
Electricity: measuring and testing
Particle precession resonance
Using well logging device
C324S300000
Reexamination Certificate
active
11376046
ABSTRACT:
A method for obtaining a parameter of interest relating to a region investigated by a nuclear magnetic resonance (NMR) tool and a non-NMR tool is disclosed. Data arising from the NMR tool is acquired, and data arising from the non-NMR tool is acquired. A solution equation is utilized for NMR signal intensity, the solution equation being functionally related to the NMR data, and a solution constraint is utilized based at least partially on the non-NMR data. The solution equation is solved for the signal intensity subject to the solution constraint, wherein the solving provides information relating to the parameter of interest.
REFERENCES:
patent: 4338567 (1982-07-01), Coates
patent: 6097184 (2000-08-01), Flaum
patent: 6247542 (2001-06-01), Kruspe et al.
patent: 6346813 (2002-02-01), Kleinberg
patent: 6755246 (2004-06-01), Chen et al.
patent: 6891369 (2005-05-01), Hurlimann et al.
patent: 6941804 (2005-09-01), Hasem et al.
patent: 7075297 (2006-07-01), Freedman
patent: 7116103 (2006-10-01), Edwards et al.
patent: 2002/0120429 (2002-08-01), Ortoleva
patent: 2006/0154306 (2006-07-01), Kotlar et al.
Chen Songhua
Fang Sheng
Gillen Mike
Munkholm Mette Stengaard
Shao Wei
Baker Hughes Incorporated
Cantor & Colburn LLP
Shrivastav Brij B.
LandOfFree
Method and apparatus for characterizing heavy oil components... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and apparatus for characterizing heavy oil components..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and apparatus for characterizing heavy oil components... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3899321