Patents by Inventor Paul Ryan Craddock

Paul Ryan Craddock 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).

  • Publication number: 20230118696
    Abstract: Methods are provided for characterizing organic matter in a geological rock formation that perform a Raman spectroscopy measurement on a rock sample of the formation to acquire a Raman spectrum of the rock sample. At least one processor is used to perform operations that involve i) analyzing the Raman spectrum of the rock sample to determine data characterizing at least one Raman spectral feature corresponding to the rock sample, ii) inputting the data characterizing the at least one Raman spectral feature corresponding to the rock sample into a computation model that determines a value of a property of organic matter in the rock sample given the data characterizing the at least one Raman spectral feature as input, and storing or outputting or displaying the value of the property of organic matter in the rock sample. In embodiments, the property of organic material in the rock sample can be a property of kerogen in the rock sample, or a property of asphaltenes or bitumen in the rock sample.
    Type: Application
    Filed: March 9, 2021
    Publication date: April 20, 2023
    Inventors: Bastian Christoph Eddie Sauerer, Paul Ryan Craddock, Wael Abdallah
  • Publication number: 20230078728
    Abstract: Methods and systems are provided that combine NMR and IR spectroscopy measurements on a rock sample to determine data representing at least one property of the rock sample. In one embodiment, cuttings can be split into first and second lots. Results of an NMR measurement performed on the first lot of cuttings without cleaning can be analyzed to determine pore volume of the cuttings. Results of an IR spectroscopy measurement performed on the second lot of cuttings after solvent cleaning can be analyzed to determine matrix density of the cuttings. Porosity can be determined from the pore volume and matrix density of the cuttings. In another embodiment, combined NMR and IR spectroscopy measurements can be performed on an unprepared rock sample (without solvent cleaning) to characterize properties of kerogen in the rock sample and porosity. In another aspect, a method is provided that employs multi-nucleic NMR measurements to determine porosity.
    Type: Application
    Filed: November 17, 2022
    Publication date: March 16, 2023
    Inventors: Ravinath Kausik KADAYAM VISWANATHAN, Shin UTSUZAWA, Kamilla FELLAH, Shawn David TAYLOR, MaryEllen LOAN, Paul Ryan CRADDOCK
  • Patent number: 11519266
    Abstract: Methods and systems are provided that combine NMR and IR spectroscopy measurements on a rock sample to determine data representing at least one property of the rock sample. In one embodiment, cuttings can be split into first and second lots. Results of an NMR measurement performed on the first lot of cuttings without cleaning can be analyzed to determine pore volume of the cuttings. Results of an IR spectroscopy measurement performed on the second lot of cuttings after solvent cleaning can be analyzed to determine matrix density of the cuttings. Porosity can be determined from the pore volume and matrix density of the cuttings. In another embodiment, combined NMR and IR spectroscopy measurements can be performed on an unprepared rock sample (without solvent cleaning) to characterize properties of kerogen in the rock sample and porosity. In another aspect, a method is provided that employs multi-nucleic NMR measurements to determine porosity.
    Type: Grant
    Filed: February 11, 2019
    Date of Patent: December 6, 2022
    Assignee: SCHLUMBERGER TECHNOLOGY CORPORATION
    Inventors: Ravinath Kausik Kadayam Viswanathan, Shin Utsuzawa, Kamilla Fellah, Shawn David Taylor, MaryEllen Loan, Paul Ryan Craddock
  • Publication number: 20220179121
    Abstract: Methods and systems are provided to learn and apply a mapping function from data representing concentrations of atomic elements in a geological formation (or other data corresponding thereto) to mineral component concentrations in the geological formation (and/or from mineral component concentrations to reconstructed elemental concentrations in the geological formation). The mapping function can be derived from a trained neural network (such as an autoencoder). The output of the mapping function can be used to determine estimates of one or more formation properties, such as formation matrix density, formation porosity, matrix Sigma, formation saturation, other formation property, or combinations thereof.
    Type: Application
    Filed: March 9, 2020
    Publication date: June 9, 2022
    Inventors: Paul Ryan Craddock, Lalitha Venkataramanan, Prakhar Srivastava, Harish Baban Datir
  • Publication number: 20200408090
    Abstract: Methods and systems are provided that combine NMR and IR spectroscopy measurements on a rock sample to determine data representing at least one property of the rock sample. In one embodiment, cuttings can be split into first and second lots. Results of an NMR measurement performed on the first lot of cuttings without cleaning can be analyzed to determine pore volume of the cuttings. Results of an IR spectroscopy measurement performed on the second lot of cuttings after solvent cleaning can be analyzed to determine matrix density of the cuttings. Porosity can be determined from the pore volume and matrix density of the cuttings. In another embodiment, combined NMR and IR spectroscopy measurements can be performed on an unprepared rock sample (without solvent cleaning) to characterize properties of kerogen in the rock sample and porosity. In another aspect, a method is provided that employs multi-nucleic NMR measurements to determine porosity.
    Type: Application
    Filed: February 11, 2019
    Publication date: December 31, 2020
    Inventors: Ravinath Kausik KADAYAM VISWANATHAN, Shin UTSUZAWA, Kamilla FELLAH, Shawn David TAYLOR, MaryEllen LOAN, Paul Ryan CRADDOCK
  • Patent number: 10698131
    Abstract: Methods may include estimating the weight fractions of kerogen and inorganic mineral components of at least an interval of a subsurface formation; determining the grain density of kerogen and inorganic mineral components, wherein at least the grain density of kerogen is determined by one or more infrared measurements; and calculating the formation matrix density of at least an interval of the subsurface formation from the estimated weight fractions and the determined grain density.
    Type: Grant
    Filed: February 25, 2016
    Date of Patent: June 30, 2020
    Assignee: Schlumberger Technology Corporation
    Inventors: Paul Ryan Craddock, Andrew Pomerantz, Frank Shray
  • Patent number: 10215690
    Abstract: A method for estimating a value of a kerogen property in a subsurface formation where the value of the kerogen property is unknown. The method includes: measuring spectral intensity values over an infrared (IR) spectral range for a selected sample from the subsurface formation; determining a range of values representing the measured spectral intensity values corresponding to a vibrational mode attributable to kerogen in the selected sample, the range of values including values representing uncertainty in the measured spectral intensity over the portion of the spectral range; and inputting values from the range of values into a stochastic or simple regression model to determine an estimated value of the kerogen property in the selected sample.
    Type: Grant
    Filed: January 4, 2017
    Date of Patent: February 26, 2019
    Assignee: Schlumberger Technology Corporation
    Inventors: Paul Ryan Craddock, Michael David Prange, Andrew Emil Pomerantz
  • Patent number: 10151197
    Abstract: A method for analyzing a geological formation having at least one hydrocarbon therein may include determining a total organic carbon mass over a depth range of the geological formation, and determining a mass fraction of the at least one hydrocarbon over the depth range of the geological formation based upon the total organic carbon mass. The method may further include determining a volume of the at least one hydrocarbon over the depth range of the geological formation, and determining a density of the at least one hydrocarbon over the depth range of the geological formation based upon the mass fraction and the volume of the at least one hydrocarbon.
    Type: Grant
    Filed: July 7, 2014
    Date of Patent: December 11, 2018
    Assignee: SCHLUMBERGER TECHNOLOGY CORPORATION
    Inventors: Salman Khalid, Robert Allen Badry, Paul Ryan Craddock, Kenneth Faurschou, Andrew E. Pomerantz, Manuel Aboud
  • Patent number: 10100636
    Abstract: Levels of kerogen and bitumen are computed in a sample of rock from DRIFTS measurements on the sample. The DRIFTS spectrum of a rock sample is measured, resulting in an estimate of bitumen and kerogen. Bitumen is then washed from the rock and DRIFTS is re-measured, resulting in an estimate of kerogen. Bitumen quantity is calculated by subtracting the washed sampled results from first DRIFTS measurements.
    Type: Grant
    Filed: June 23, 2014
    Date of Patent: October 16, 2018
    Assignee: GEOSERVICES EQUIPEMENTS
    Inventors: Andrew Emil Pomerantz, Robert Leonard Kleinberg, Ravinath Kausik Kadayam Viswanathan, Paul Ryan Craddock
  • Publication number: 20180188161
    Abstract: A method for estimating a value of a kerogen property in a subsurface formation where the value of the kerogen property is unknown. The method includes: measuring spectral intensity values over an infrared (IR) spectral range for a selected sample from the subsurface formation; determining a range of values representing the measured spectral intensity values corresponding to a vibrational mode attributable to kerogen in the selected sample, the range of values including values representing uncertainty in the measured spectral intensity over the portion of the spectral range; and inputting values from the range of values into a stochastic or simple regression model to determine an estimated value of the kerogen property in the selected sample.
    Type: Application
    Filed: January 4, 2017
    Publication date: July 5, 2018
    Inventors: Paul Ryan Craddock, Michael David Prange, Andrew Emil Pomerantz
  • Patent number: 9880319
    Abstract: Techniques for calculating metrics for reservoir quality based on light oil and total organic carbon in tight oil reservoirs are described. The techniques include calculating quantities of light oil and total organic carbon from logging data and generating therefrom a continuous log for reservoir quality metric. Additionally new reservoir quality indices are presented that more accurately predict reservoir quality in tight oil plays.
    Type: Grant
    Filed: October 2, 2014
    Date of Patent: January 30, 2018
    Assignee: SCHLUMBERGER TECHNOLOGY CORPORATION
    Inventors: Ravinath Kausik Kadayam Viswanathan, Andrew E. Pomerantz, Richard Lewis, Paul Ryan Craddock, Robert L. Kleinberg, Frank P. Shray, Stacy Lynn Reeder Blanco
  • Publication number: 20170248011
    Abstract: Methods may include estimating the weight fractions of kerogen and inorganic mineral components of at least an interval of a subsurface formation; determining the grain density of kerogen and inorganic mineral components, wherein at least the grain density of kerogen is determined by one or more infrared measurements; and calculating the formation matrix density of at least an interval of the subsurface formation from the estimated weight fractions and the determined grain density.
    Type: Application
    Filed: February 25, 2016
    Publication date: August 31, 2017
    Inventors: Paul Ryan Craddock, Andrew Pomerantz, Frank Shray
  • Publication number: 20160266275
    Abstract: Techniques for quantifying minerals in a formation sample include using a joint inversion of DRIFTS (diffuse reflectance infrared Fourier transform spectroscopy) spectra and XRF (X-ray fluorescence) data. This joint inversion produces quantification of additional minerals (e.g. pyrite and barite) than those quantified by the individual inversion method (DRIFTS-only). The method is applied to oilfield reservoir samples and the mineralogy solution is compared to the DRIFTS-only solution and to mineralogy estimated from benchmark FTIR (transmission Fourier transform infrared spectroscopy) method.
    Type: Application
    Filed: March 7, 2016
    Publication date: September 15, 2016
    Inventors: Ridvan Akkurt, Se Un Park, Paul Ryan Craddock
  • Publication number: 20160138392
    Abstract: Levels of kerogen and bitumen are computed in a sample of rock from DRIFTS measurements on the sample. the DRIFTS spectrum of a rock sample is measured, resulting in an estimate of bitumen and kerogen. Bitumen is then washed from the rock and DRIFTS is re-measured, resulting in an estimate of kerogen. Bitumen quantity is calculated by subtracting the washed sampled results from first DRIFTS measurements.
    Type: Application
    Filed: June 23, 2014
    Publication date: May 19, 2016
    Inventors: Andrew Emil Pomerantz, Robert Leonard Kleinberg, Ravinath Kausik Kadayam Viswanathan, Paul Ryan Craddock
  • Publication number: 20160003037
    Abstract: A method for analyzing a geological formation having at least one hydrocarbon therein may include determining a total organic carbon mass over a depth range of the geological formation, and determining a mass fraction of the at least one hydrocarbon over the depth range of the geological formation based upon the total organic carbon mass. The method may further include determining a volume of the at least one hydrocarbon over the depth range of the geological formation, and determining a density of the at least one hydrocarbon over the depth range of the geological formation based upon the mass fraction and the volume of the at least one hydrocarbon.
    Type: Application
    Filed: July 7, 2014
    Publication date: January 7, 2016
    Inventors: Salman Khalid, Robert Allen Badry, Paul Ryan Craddock, Kenneth Faurschou, Andrew E. Pomerantz, Manuel Aboud
  • Publication number: 20150094960
    Abstract: Techniques for calculating metrics for reservoir quality based on light oil and total organic carbon in tight oil reservoirs are described. The techniques include calculating quantities of light oil and total organic carbon from logging data and generating therefrom a continuous log for reservoir quality metric. Additionally new reservoir quality indices are presented that more accurately predict reservoir quality in tight oil plays.
    Type: Application
    Filed: October 2, 2014
    Publication date: April 2, 2015
    Inventors: Ravinath Kausik Kadayam Viswanathan, Andrew E. Pomerantz, Richard Lewis, Paul Ryan Craddock, Robert L. Kleinberg, Frank P. Shray, Stacy Lynn Reeder Blanco