Fred K Gruber

US Patent:

20130179083, Jul 11, 2013

Filed:

Jan 9, 2012

Appl. No.:

13/346468

Inventors:

FRED K. GRUBER - BOSTON MA, US
LALITHA VENKATARAMANAN - LEXINGTON MA, US
TAREK M. HABASHY - BURLINGTON MA, US
PHILIP M. SINGER - RICHMOND TX, US
DENISE E. FREED - NEWTON HIGHLANDS MA, US

International Classification:

G01V 3/175
G01V 3/38

US Classification:

702 13

Abstract:

A nuclear magnetic resonance (NMR) related distribution is estimated that is consistent with NMR measurements and uses linear functionals directly estimated from the measurement indications by integral transforms as constraints in a cost function. The cost function includes indications of the measurement data, Laplace transform elements and the constraints, and a distribution estimation is made by minimizing the cost function. The distribution estimation may be used to find parameters of the sample. Where the sample is a rock or a formation, the parameters may include parameters such as rock permeability and/or hydrocarbon viscosity, bound and free fluid volumes, among others. The parameters may be used in models, equations, or otherwise to act on the sample, such as in recovering hydrocarbons from the formation.

US Patent:

20130060474, Mar 7, 2013

Filed:

Dec 21, 2011

Appl. No.:

13/333232

Inventors:

LALITHA VENKATARAMANAN - LEXINGTON MA, US
TAREK M. HABASHY - BURLINGTON MA, US
FRED K. GRUBER - BOSTON MA, US
DENISE E. FREED - NEWTON HIGHLANDS MA, US

International Classification:

G06F 19/00
G01V 3/175

US Classification:

702 6

Abstract:

Apparatus and method of characterizing a subterranean formation including observing a formation using nuclear magnetic resonance measurements, calculating an answer product by computing an integral transform on the indications in measurement-domain, and using answer products to estimate a property of the formation. Apparatus and a method for characterizing a subteranean formation including collecting NMR data of a formation, calculating an answer product comprising the data, wherein the calculating comprises a formulaand estimating a property of the formation using the answer product.

US Patent:

20190011517, Jan 10, 2019

Filed:

Apr 3, 2018

Appl. No.:

15/943787

Inventors:

- Sugar Land TX, US
Fred K. Gruber - Boston MA, US
Tarek M. Habashy - Burlington MA, US
Ridvan Akkurt - Lexington MA, US
Badarinadh Vissapragada - Walpole MA, US
Richard E. Lewis - Frisco TX, US
Erik Rylander - Frisco TX, US

International Classification:

G01R 33/54
G01R 33/44
G01N 24/08
G01V 3/38
G01V 3/14
G01V 3/32

Abstract:

A methods are provided for investigating a sample containing hydrocarbons by subjecting the sample to a nuclear magnetic resonance (NMR) sequence using NMR equipment, using the NMR equipment to detect signals from the sample in response to the NMR sequence, analyzing the signals to extract a distribution of relaxation times (or diffusions), and computing a value for a parameter of the sample as a function of at least one of the relaxation times (or diffusions), wherein the computing utilizes a correction factor that modifies the value for the parameter as a function of relaxation time for at least short relaxation times (or as a function of diffusion for at least large diffusion coefficients).

US Patent:

20150177351, Jun 25, 2015

Filed:

May 24, 2013

Appl. No.:

14/406503

Inventors:

- Sugar Land TX, US
Fred K. Gruber - Boston MA, US
Tarek M. Habashy - Burlington MA, US
Ridvan Akkurt - Lexington MA, US
Badarinadh Vissapragada - Walpole MA, US
Richard E. Lewis - Frisco TX, US
Erik Rylander - Frisco TX, US

Assignee:

Schlumberger Technology Corporation - Sugar Land TX

International Classification:

G01R 33/54
G01N 24/08

Abstract:

A methods are provided for investigating a sample containing hydrocarbons by subjecting the sample to a nuclear magnetic resonance (NMR) sequence using NMR equipment, using the NMR equipment to detect signals from the sample in response to the NMR sequence, analyzing the signals to extract a distribution of relaxation times (or diffusions), and computing a value for a parameter of the sample as a function of at least one of the relaxation times (or diffusions), wherein the computing utilizes a correction factor that modifies the value for the parameter as a function of relaxation time for at least short relaxation times (or as a function of diffusion for at least large diffusion coefficients).