Patents by Inventor FRED K. GRUBER

FRED K. GRUBER has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10802099
    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).
    Type: Grant
    Filed: April 3, 2018
    Date of Patent: October 13, 2020
    Assignee: SCHLUMBERGER TECHNOLOGY CORPORATION
    Inventors: Lalitha Venkataramanan, Fred K. Gruber, Tarek M. Habashy, Ridvan Akkurt, Badarinadh Vissapragada, Richard E. Lewis, Erik Rylander
  • Patent number: 10732314
    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 subterranean formation including collecting NMR data of a formation, calculating an answer product comprising the data, wherein the calculating comprises a formula K ? ( x ) ? ? 0 ? ? k ? ( t ) ? e - t / x ? dt . and estimating a property of the formation using the answer product.
    Type: Grant
    Filed: December 21, 2011
    Date of Patent: August 4, 2020
    Assignee: Schlumberger Technology Corporation
    Inventors: Lalitha Venkataramanan, Tarek M. Habashy, Fred K. Gruber, Denise E. Freed
  • Publication number: 20190011517
    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).
    Type: Application
    Filed: April 3, 2018
    Publication date: January 10, 2019
    Inventors: Lalitha Venkataramanan, Fred K. Gruber, Tarek M. Habashy, Ridvan Akkurt, Badarinadh Vissapragada, Richard E. Lewis, Erik Rylander
  • Patent number: 9939506
    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).
    Type: Grant
    Filed: May 24, 2013
    Date of Patent: April 10, 2018
    Assignee: SCHLUMBERGER TECHNOLOGY CORPORATION
    Inventors: Lalitha Venkataramanan, Fred K. Gruber, Tarek M. Habashy, Ridvan Akkurt, Badarinadh Vissapragada, Richard E. Lewis, Erik Rylander
  • Patent number: 9222902
    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.
    Type: Grant
    Filed: January 9, 2012
    Date of Patent: December 29, 2015
    Assignee: Schlumberger Technology Corporation
    Inventors: Fred K. Gruber, Lalitha Venkataramanan, Tarek M. Habashy, Philip M. Singer, Denise E. Freed
  • Publication number: 20150177351
    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).
    Type: Application
    Filed: May 24, 2013
    Publication date: June 25, 2015
    Applicant: Schlumberger Technology Corporation
    Inventors: Lalitha Venkataramanan, Fred K. Gruber, Tarek M. Habashy, Ridvan Akkurt, Badarinadh Vissapragada, Richard E. Lewis, Erik Rylander
  • Publication number: 20130179083
    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.
    Type: Application
    Filed: January 9, 2012
    Publication date: July 11, 2013
    Inventors: FRED K. GRUBER, LALITHA VENKATARAMANAN, TAREK M. HABASHY, PHILIP M. SINGER, DENISE E. FREED
  • Publication number: 20130060474
    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 formula K ? ( x ) ? ? 0 ? ? k ? ( t ) ? ? - t / x ? ? t . and estimating a property of the formation using the answer product.
    Type: Application
    Filed: December 21, 2011
    Publication date: March 7, 2013
    Inventors: LALITHA VENKATARAMANAN, TAREK M. HABASHY, FRED K. GRUBER, DENISE E. FREED